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    <title>Pinboard (Vaguery)</title>
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    <description>recent bookmarks from Vaguery</description>
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      <rdf:Seq>	<rdf:li rdf:resource="https://arxiv.org/abs/2512.23146"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/2412.05266"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/2307.15092"/>
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	<rdf:li rdf:resource="https://arxiv.org/abs/2103.04876"/>
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	<rdf:li rdf:resource="https://arxiv.org/abs/1204.1749"/>
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	<rdf:li rdf:resource="http://arxiv.org/abs/1605.07364"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1503.05384"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1511.07707"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1512.01161"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1504.03871"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1403.0697"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1411.0784"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1408.3351"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1310.0917"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1309.6273"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1309.4283"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1309.2969"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1305.7072"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1301.4190"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1304.2174"/>
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	<rdf:li rdf:resource="http://arxiv.org/abs/1302.7051"/>
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	<rdf:li rdf:resource="http://arxiv.org/abs/1203.1067"/>
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	<rdf:li rdf:resource="http://mashable.com/2011/05/18/video-spaceshiptwos-first-feather-glide/?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+Mashable+%28Mashable%29"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1006.5008"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1005.2815"/>
	<rdf:li rdf:resource="http://www.whalepower.com/drupal/?q=node/2"/>
	<rdf:li rdf:resource="http://www.mae.cornell.edu/lipson/"/>
	<rdf:li rdf:resource="http://scienceblogs.com/grrlscientist/2008/01/flight_of_the_microrobotic_fly.php"/>
	<rdf:li rdf:resource="http://www.pnas.org/cgi/content/abstract/104/17/6974"/>
	<rdf:li rdf:resource="http://www.saso-conference.org/"/>
	<rdf:li rdf:resource="http://projects.csail.mit.edu/saso2007/index.html"/>
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  </channel><item rdf:about="https://arxiv.org/abs/2512.23146">
    <title>[2512.23146] A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation</title>
    <dc:date>2026-01-18T21:15:24+00:00</dc:date>
    <link>https://arxiv.org/abs/2512.23146</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We introduce a biologically inspired, multilayer neural architecture composed of Rectified Spectral Units (ReSUs). Each ReSU projects a recent window of its input history onto a canonical direction obtained via canonical correlation analysis (CCA) of previously observed past-future input pairs, and then rectifies either its positive or negative component. By encoding canonical directions in synaptic weights and temporal filters, ReSUs implement a local, self-supervised algorithm for progressively constructing increasingly complex features.
To evaluate both computational power and biological fidelity, we trained a two-layer ReSU network in a self-supervised regime on translating natural scenes. First-layer units, each driven by a single pixel, developed temporal filters resembling those of Drosophila post-photoreceptor neurons (L1/L2 and L3), including their empirically observed adaptation to signal-to-noise ratio (SNR). Second-layer units, which pooled spatially over the first layer, became direction-selective -- analogous to T4 motion-detecting cells -- with learned synaptic weight patterns approximating those derived from connectomic reconstructions.
Together, these results suggest that ReSUs offer (i) a principled framework for modeling sensory circuits and (ii) a biologically grounded, backpropagation-free paradigm for constructing deep self-supervised neural networks.
]]></description>
<dc:subject>machine-learning algorithms neural-networks representation rather-interesting nonlinear-dynamics collective-behavior to-understand consider:parameter-fitting consider:structure-learning biologically-inspired</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:85f0f61be13d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:representation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nonlinear-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-understand"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:parameter-fitting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:structure-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
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</item>
<item rdf:about="https://arxiv.org/abs/2412.05266">
    <title>[2412.05266] Locomotion of a Scallop-Inspired Swimmer in Granular Matter</title>
    <dc:date>2025-08-22T13:01:32+00:00</dc:date>
    <link>https://arxiv.org/abs/2412.05266</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Understanding swimming in soft yielding media is challenging due to their complex deformation response to the swimmer's motion. We experimentally show that a scallop-inspired swimmer with reciprocally flapping wings generates locomotion in granular matter. This disagrees with the scallop theorem prohibiting reciprocal swimming in a liquid when its inertia is negligible. We use X-ray tomography and laser profilometry to show that the propulsion is created by the combined effects of jamming and convection of particles near the wings, which break the symmetry in packing density, surface deformation, and kinematics of the granular medium between an opening and a closing stroke.
]]></description>
<dc:subject>biologically-inspired engineering-design looking-to-see granular-materials nonlinear-dynamics rather-interesting robotics nanotechnology fluid-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:3d766bc18679/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:looking-to-see"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:granular-materials"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nonlinear-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:robotics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanotechnology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:fluid-dynamics"/>
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<item rdf:about="https://arxiv.org/abs/2307.15092">
    <title>[2307.15092] A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning</title>
    <dc:date>2024-10-30T12:44:28+00:00</dc:date>
    <link>https://arxiv.org/abs/2307.15092</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Reservoir computing (RC), first applied to temporal signal processing, is a recurrent neural network in which neurons are randomly connected. Once initialized, the connection strengths remain unchanged. Such a simple structure turns RC into a non-linear dynamical system that maps low-dimensional inputs into a high-dimensional space. The model's rich dynamics, linear separability, and memory capacity then enable a simple linear readout to generate adequate responses for various applications. RC spans areas far beyond machine learning, since it has been shown that the complex dynamics can be realized in various physical hardware implementations and biological devices. This yields greater flexibility and shorter computation time. Moreover, the neuronal responses triggered by the model's dynamics shed light on understanding brain mechanisms that also exploit similar dynamical processes. While the literature on RC is vast and fragmented, here we conduct a unified review of RC's recent developments from machine learning to physics, biology, and neuroscience. We first review the early RC models, and then survey the state-of-the-art models and their applications. We further introduce studies on modeling the brain's mechanisms by RC. Finally, we offer new perspectives on RC development, including reservoir design, coding frameworks unification, physical RC implementations, and interaction between RC, cognitive neuroscience and evolution.
]]></description>
<dc:subject>nonlinear-dynamics reservoir-computing neural-networks machine-learning biologically-inspired to-understand rather-interesting to-write-about review</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f3ddd77750a4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nonlinear-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:reservoir-computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:review"/>
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</item>
<item rdf:about="https://arxiv.org/abs/1909.02512">
    <title>[1909.02512] Descriptional Complexity of Semi-Simple Splicing Systems</title>
    <dc:date>2022-01-29T13:56:16+00:00</dc:date>
    <link>https://arxiv.org/abs/1909.02512</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Splicing systems are generative mechanisms introduced by Tom Head in 1987 to model the biological process of DNA recombination. The computational engine of a splicing system is the "splicing operation", a cut-and-paste binary string operation defined by a set of "splicing rules" r=(α1,α2;α3,α4) where α1,α2,α3,α4 are words over an alphabet Σ. For two strings x=x1α1α2x2 and y=y1α3α4y2, applying the splicing rule r produces the string z=x1α1α4y2. 
In this paper we focus on a particular type of splicing systems, called (i,j) semi-simple splicing systems, i=1,2 and j=3,4, wherein all splicing rules have the property that the two strings in positions i and j are singleton letters, while the other two strings are empty. The language generated by such a system consists of the set of words that are obtained starting from an initial set called "axiom set", by iteratively applying the splicing rules to strings in the axiom set as well as to intermediately produced strings. We consider semi-simple splicing systems where the axiom set is a regular language, and investigate the descriptional complexity of such systems in terms of the size of the minimal deterministic finite automata that recognize the languages they generate.
]]></description>
<dc:subject>strings formal-languages biologically-inspired rewriting-systems rather-interesting to-write-about to-simulate consider:random-examples consider:dynamics consider:visualization grammar</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f907e61ee423/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:strings"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:formal-languages"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rewriting-systems"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-simulate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:random-examples"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:grammar"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2105.10846">
    <title>[2105.10846] Transient degrees of freedom and stability</title>
    <dc:date>2021-08-01T12:08:58+00:00</dc:date>
    <link>https://arxiv.org/abs/2105.10846</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The mechanical stability of a physical system plays a crucial role in determining its excitations and response to strain. Recent advances have led to protocols that can create particularly stable amorphous solids. Such systems, whether they be physical systems created using vapor-deposition or numerical model systems created using swap or breathing algorithms, exist in exceptionally deep energy minima marked by the absence of low-frequency quasilocalized modes. We introduce new numerical protocols for creating stable jammed packings that first introduce and subsequently remove degrees of freedom such as particle sizes or particle stiffnesses. We find that different choices for the degrees of freedom can lead to very different results. For jammed packings, degrees of freedom that couple to the jamming transition, e.g., particle sizes, push the system to much more stable and deeper energy minima than those that only couple to interaction stiffnesses.
]]></description>
<dc:subject>granular-materials engineering-design emergent-design rather-interesting biologically-inspired materials-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:446fd5dd579c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:granular-materials"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:materials-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2103.04876">
    <title>[2103.04876] Scale invariant robot behavior with fractals</title>
    <dc:date>2021-05-18T22:28:15+00:00</dc:date>
    <link>https://arxiv.org/abs/2103.04876</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Robots deployed at orders of magnitude different size scales, and that retain the same desired behavior at any of those scales, would greatly expand the environments in which the robots could operate. However it is currently not known whether such robots exist, and, if they do, how to design them. Since self similar structures in nature often exhibit self similar behavior at different scales, we hypothesize that there may exist robot designs that have the same property. Here we demonstrate that this is indeed the case for some, but not all, modular soft robots: there are robot designs that exhibit a desired behavior at a small size scale, and if copies of that robot are attached together to realize the same design at higher scales, those larger robots exhibit similar behavior. We show how to find such designs in simulation using an evolutionary algorithm. Further, when fractal attachment is not assumed and attachment geometries must thus be evolved along with the design of the base robot unit, scale invariant behavior is not achieved, demonstrating that structural self similarity, when combined with appropriate designs, is a useful path to realizing scale invariant robot behavior. We validate our findings by demonstrating successful transferal of self similar structure and behavior to pneumatically-controlled soft robots. Finally, we show that biobots can spontaneously exhibit self similar attachment geometries, thereby suggesting that self similar behavior via self similar structure may be realizable across a wide range of robot platforms in future.
]]></description>
<dc:subject>biological-engineering biologically-inspired artificial-life absolutely-stunning hey-I-know-this-guy theoretical-biology self-organization autopoiesis to-write-about to-reframe</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:9d7c6be9339a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:absolutely-stunning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:hey-I-know-this-guy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:autopoiesis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-reframe"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.biorxiv.org/content/10.1101/448761v1?rss=1">
    <title>Nanoscale robots exhibiting quorum sensing | bioRxiv</title>
    <dc:date>2019-04-10T10:26:11+00:00</dc:date>
    <link>https://www.biorxiv.org/content/10.1101/448761v1?rss=1</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Multi-agent systems demonstrate the ability to collectively perform complex tasks, e.g. construction (1-2), search (3), and locomotion (4,5), with greater speed, efficiency, or effectiveness than could a single agent alone. Direct and indirect coordination methods allow agents to collaborate to share information and adapt their activity to fit dynamic situations. A well-studied example is quorum sensing (QS), a mechanism allowing bacterial communities to coordinate and optimize various phenotypes in response to population density. Here we implement, for the first time, bio-inspired QS in robots fabricated from DNA origami, which communicate by transmitting and receiving diffusing signals. The mechanism we describe includes features such as programmable response thresholds and quorum quenching, and is capable of being triggered by proximity of a specific target cell. Nanoscale robots with swarm intelligence could carry out tasks that have been so far unachievable in diverse fields such as industry, manufacturing and medicine]]></description>
<dc:subject>quorum-sensing collective-intelligence swarms nanotechnology biologically-inspired biological-engineering rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:bf232a099e6e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:quorum-sensing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanotechnology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1204.1749">
    <title>[1204.1749] Robust Soldier Crab Ball Gate</title>
    <dc:date>2017-03-05T22:16:22+00:00</dc:date>
    <link>https://arxiv.org/abs/1204.1749</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Soldier crabs Mictyris guinotae exhibit pronounced swarming behaviour. The swarms of the crabs tolerant of perturbations. In computer models and laboratory experiments we demonstrate that swarms of soldier crabs can implement logical gates when placed in a geometrically constrained environment.
]]></description>
<dc:subject>via:futility-closet biologically-inspired biological-engineering collective-behavior unconventional-computing swarms experiment simulation artificial-life</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:dbd111032f3f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:futility-closet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:unconventional-computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1701.01361">
    <title>[1701.01361] Rhombic Tilings and Primordia Fronts of Phyllotaxis</title>
    <dc:date>2017-01-24T12:03:11+00:00</dc:date>
    <link>https://arxiv.org/abs/1701.01361</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We introduce and study properties of phyllotactic and rhombic tilings on the cylin- der. These are discrete sets of points that generalize cylindrical lattices. Rhombic tilings appear as periodic orbits of a discrete dynamical system S that models plant pattern formation by stacking disks of equal radius on the cylinder. This system has the advantage of allowing several disks at the same level, and thus multi-jugate config- urations. We provide partial results toward proving that the attractor for S is entirely composed of rhombic tilings and is a strongly normally attracting branched manifold and conjecture that this attractor persists topologically in nearby systems. A key tool in understanding the geometry of tilings and the dynamics of S is the concept of pri- mordia front, which is a closed ring of tangent disks around the cylinder. We show how fronts determine the dynamics, including transitions of parastichy numbers, and might explain the Fibonacci number of petals often encountered in compositae.
]]></description>
<dc:subject>phyllotaxis tiling pattern-formation biologically-inspired mathematics rather-interesting stamp-collecting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:61b31a8d41d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:phyllotaxis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:tiling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:stamp-collecting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1605.07364">
    <title>[1605.07364] Non-Gaussian Random Generators in Bacteria Foraging Algorithm for Multiobjective Optimization</title>
    <dc:date>2016-08-15T13:19:34+00:00</dc:date>
    <link>http://arxiv.org/abs/1605.07364</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Random generators or stochastic engines are a key component in the structure of metaheuristic algorithms. This work investigates the effects of non-Gaussian stochastic engines on the performance of metaheuristics when solving a real-world optimization problem. In this work, the bacteria foraging algorithm (BFA) was employed in tandem with four random generators (stochastic engines). The stochastic engines operate using the Weibull distribution, Gamma distribution, Gaussian distribution and a chaotic mechanism. The two non-Gaussian distributions are the Weibull and Gamma distributions. In this work, the approaches developed were implemented on the real-world multi-objective resin bonded sand mould problem. The Pareto frontiers obtained were benchmarked using two metrics; the hyper volume indicator (HVI) and the proposed Average Explorative Rate (AER) metric. Detail discussions from various perspectives on the effects of non-Gaussian random generators in metaheuristics are provided.]]></description>
<dc:subject>multiobjective-optimization metaheuristics biologically-inspired algorithms to-read rather-interesting exploratory-data-analysis nudge-targets consider:representation consider:performance-measures</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:18c34c6afc3d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:multiobjective-optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:metaheuristics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exploratory-data-analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:representation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:performance-measures"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1503.05384">
    <title>[1503.05384] Self-assembly of DNA-functionalized colloids</title>
    <dc:date>2016-03-27T15:11:41+00:00</dc:date>
    <link>http://arxiv.org/abs/1503.05384</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Colloidal particles grafted with single-stranded DNA (ssDNA) chains can self-assemble into a number of different crystalline structures, where hybridization of the ssDNA chains creates links between colloids stabilizing their structure. Depending on the geometry and the size of the particles, the grafting density of the ssDNA chains, and the length and choice of DNA sequences, a number of different crystalline structures can be fabricated. However, understanding how these factors contribute synergistically to the self-assembly process of DNA-functionalized nano- or micro-sized particles remains an intensive field of research. Moreover, the fabrication of long-range structures due to kinetic bottlenecks in the self-assembly are additional challenges. Here, we discuss the most recent advances from theory and experiment with particular focus put on recent simulation studies.
]]></description>
<dc:subject>nanotechnology self-assembly genetic-algorithm simulation biologically-inspired rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:57bfb0b83393/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanotechnology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-assembly"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:genetic-algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1511.07707">
    <title>[1511.07707] Bioinspired interfacial materials with enhanced drop mobility: From fundamentals to multifunctional applications</title>
    <dc:date>2016-03-26T23:11:24+00:00</dc:date>
    <link>http://arxiv.org/abs/1511.07707</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The development of bio-inspired interfacial materials with enhanced drop mobility that mimic the innate functionalities of nature will have significant impact on the energy, environment and global healthcare. In spite of extensive progress, the state of the art of interfacial materials have not reached the level of maturity sufficient for industrial applications in terms of scalability, stability and reliability, which are complicated by their operating environments and lack of facile approaches to exquisitely control the local structural texture and chemical composition at multiple length scales. In this review, we focus on the recent advances in the fundamental understanding as well as practical applications of bio-inspired interfacial materials, with an emphasis on the drop impact induced bouncing and coalescence induced jumping behaviors. We also suggest our own perspectives on how to catalyze new discoveries and to foster technological adoption to move this exciting area forward.
]]></description>
<dc:subject>materials-science metamaterials biologically-inspired nanotechnology rather-interesting physics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:da3bd9631042/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:materials-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:metamaterials"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanotechnology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:physics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1512.01161">
    <title>[1512.01161] Artificial membranes biomimicking pit vipers' thermal sensing</title>
    <dc:date>2016-03-26T14:56:55+00:00</dc:date>
    <link>http://arxiv.org/abs/1512.01161</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Artificial membranes that are sensitive to temperature are needed in robotics to augment interactions with humans and the environment, and in bioengineering to improve prosthetic limbs. Existing flexible sensors achieved sensitivities of <100 mK, albeit within narrow (<5 K) temperature ranges. Other flexible devices, working in wider temperature ranges, exhibit orders of magnitude poorer responses. However, much more versatile and temperature sensitive membranes are found in animals such as pit vipers, whose pit membranes have the highest sensitivity in nature and are used to locate warm-blooded preys at distance. Here, we show that pectin films mimic the sensing mechanism of pit membranes and parallel their record performance. These films map temperature on surfaces with a sensitivity of <10 mK in a wide temperature range (40 K) and detect warm bodies at distance.
]]></description>
<dc:subject>biological-engineering biologically-inspired materials-science engineering-design rather-interesting sensors nanotechnology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:48bf7e186d11/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:materials-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sensors"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanotechnology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1504.03871">
    <title>[1504.03871] Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition</title>
    <dc:date>2015-05-29T10:56:18+00:00</dc:date>
    <link>http://arxiv.org/abs/1504.03871</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Retinal image of surrounding objects varies tremendously due to the changes in position, size, pose, illumination condition, background context, occlusion, noise, and nonrigid deformations. But despite these huge variations, our visual system is able to invariantly recognize any object in just a fraction of a second. To date, various computational models have been proposed to mimic the hierarchical processing of the ventral visual pathway, with limited success. Here, we show that combining a biologically inspired network architecture with a biologically inspired learning rule significantly improves the models' performance when facing challenging object recognition problems. Our model is an asynchronous feedforward spiking neural network. When the network is presented with natural images, the neurons in the entry layers detect edges, and the most activated ones fire first, while neurons in higher layers are equipped with spike timing-dependent plasticity. These neurons progressively become selective to intermediate complexity visual features appropriate for object categorization, as demonstrated using the 3D Object dataset provided by Savarese et al. at CVGLab, Stanford University. The model reached 96% categorization accuracy, which corresponds to two to three times fewer errors than the previous state-of-the-art, demonstrating that it is able to accurately recognize different instances of multiple object classes in various appearance conditions (different views, scales, tilts, and backgrounds). Several statistical analysis techniques are used to show that our model extracts class specific and highly informative features.
]]></description>
<dc:subject>image-segmentation face-recognition soft-computing biologically-inspired algorithms machine-learning nudge-targets feature-construction</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:079817a56675/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:image-segmentation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:face-recognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:soft-computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:feature-construction"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1403.0697">
    <title>[1403.0697] Aggregation and Segregation of Confined Active Particles</title>
    <dc:date>2015-01-19T11:42:39+00:00</dc:date>
    <link>http://arxiv.org/abs/1403.0697</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We simulate a model of self-propelled disks with soft repulsive interactions confined to a box in two dimensions. For small rotational diffusion rates, monodisperse disks spontaneously accumulate at the walls. At low densities, interaction forces between particles are strongly inhomogeneous, and a simple model predicts how these inhomogeneities alter the equation of state. At higher densities, collective effects become important. We observe signatures of a jamming transition at a packing fraction ϕ∼0.88, which is also the jamming point for non-active athermal monodisperse disks. At this ϕ, the system develops a critical finite active speed necessary for wall aggregation. At packing fractions above ϕ∼0.6, the pressure decreases with increasing density, suggesting that strong interactions between particles are affecting the equation of state well below the jamming transition. A mixture of bidisperse disks segregates in the absence of any adhesion, identifying a new mechanism that could contribute to cell sorting in embryonic development.
]]></description>
<dc:subject>active-matter self-organization pattern-formation nudge-targets biologically-inspired emergent-design</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:b3d6b61ea357/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:active-matter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1411.0784">
    <title>[1411.0784] Logic gates and complex dynamics in a hexagonal cellular automaton: the Spiral rule</title>
    <dc:date>2014-12-31T21:17:48+00:00</dc:date>
    <link>http://arxiv.org/abs/1411.0784</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In previous works, hexagonal cellular automata (CA) have been studied as a variation of the famous Game of Life CA, mainly for spiral phenomena simulations; where the most interesting constructions are related to the Belousov-Zhabotinsky reaction. In this paper, we analyse a special kind of hexagonal CA, {\it Spiral rule}. Such automaton shows a non-trivial complex behaviour related to discrete models of reaction-diffusion chemical media, dominated by spiral guns which easily emerge from random initial conditions. The computing capabilities of this automaton are shown by means of logic gates. These are defined by collisions between mobile localizations. Also, an extended classification of complex self-localisation patterns is presented, including some self-organised patterns.
]]></description>
<dc:subject>cellular-automata self-organization computer-science biologically-inspired complexology nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:b0ca128f0438/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cellular-automata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:computer-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1408.3351">
    <title>[1408.3351] Universal Computation with Arbitrary Polyomino Tiles in Non-Cooperative Self-Assembly</title>
    <dc:date>2014-11-07T14:12:40+00:00</dc:date>
    <link>http://arxiv.org/abs/1408.3351</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In this paper we explore the power of geometry to overcome the limitations of non-cooperative self-assembly. We define a generalization of the abstract Tile Assembly Model (aTAM), such that a tile system consists of a collection of polyomino tiles, the Polyomino Tile Assembly Model (polyTAM), and investigate the computational powers of polyTAM systems at temperature 1, where attachment among tiles occurs without glue cooperation. Systems composed of the unit-square tiles of the aTAM at temperature 1 are believed to be incapable of Turing universal computation (while cooperative systems, with temperature > 1, are able). As our main result, we prove that for any polyomino P of size 3 or greater, there exists a temperature-1 polyTAM system containing only shape-P tiles that is computationally universal. Our proof leverages the geometric properties of these larger (relative to the aTAM) tiles and their abilities to effectively utilize geometric blocking of particular growth paths of assemblies, while allowing others to complete. 
To round out our main result, we provide strong evidence that size-1 (i.e. aTAM tiles) and size-2 polyomino systems are unlikely to be computationally universal by showing that such systems are incapable of geometric bit-reading, which is a technique common to all currently known temperature-1 computationally universal systems. We further show that larger polyominoes with a limited number of binding positions are unlikely to be computationally universal, as they are only as powerful as temperature-1 aTAM systems. Finally, we connect our work with other work on domino self-assembly to show that temperature-1 assembly with at least 2 distinct shapes, regardless of the shapes or their sizes, allows for universal computation.
]]></description>
<dc:subject>computer-science self-assembly universality nonstandard-computational-models biologically-inspired information-theory engineering-design artificial-life rather-interesting nudge-targets consider:as-a-substrate</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ac2ce37b4a59/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:computer-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-assembly"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:universality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nonstandard-computational-models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:information-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:as-a-substrate"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1310.0917">
    <title>[1310.0917] On the Optical Role of Randomness for Structured Surfaces</title>
    <dc:date>2013-12-04T12:36:20+00:00</dc:date>
    <link>http://arxiv.org/abs/1310.0917</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[It has been known for years how random height variations of a repeated nano-scale structure can give rise to smooth angular color variations instead of the well-known diffraction pattern experienced if no randomization is present. However, until now there has not been published any papers giving an in-depth mathematical explanation on the mechanisms behind and how to design the randomness for a given application. This paper presents a mathematical framework for analyzing these random variations -- rigorously as well as intuitively.
]]></description>
<dc:subject>nanotechnology metamaterials materials-science physics optics biologically-inspired nudge-targets engineering-design</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:81d81bbcdfcb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanotechnology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:metamaterials"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:materials-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:physics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:optics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1309.6273">
    <title>[1309.6273] Precision and reproducibility of macroscopic developmental patterns</title>
    <dc:date>2013-10-21T12:38:04+00:00</dc:date>
    <link>http://arxiv.org/abs/1309.6273</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Developmental processes in multicellular organisms occur far from equilibrium, yet produce complex patterns with astonishing reproducibility. We measure the precision and reproducibility of bilaterally symmetric fly wings across the natural range of genetic and environmental conditions and find that wing patterns are specified with identical spatial precision and are reproducible to within a single cell width. The early fly embryo operates at a similar degree of reproducibility, suggesting that the overall spatial precision of morphogenesis in Drosophila performs at the single cell level, arguably the physical limit of what a biological system can achieve.
]]></description>
<dc:subject>developmental-biology emergence biological-engineering complex-systems biologically-inspired nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:2429ec6dee27/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:developmental-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complex-systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1309.4283">
    <title>[1309.4283] Neuromorphic Learning towards Nano Second Precision</title>
    <dc:date>2013-09-22T19:51:00+00:00</dc:date>
    <link>http://arxiv.org/abs/1309.4283</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival times of sound signals are shifted between both ears. In order to deter- mine these interaural time differences, the phase difference of the signals is measured. We implemented this biologically inspired network on a neuromorphic hardware system and demonstrate spike-timing dependent plasticity on an analog, highly accelerated hardware substrate. Our neuromorphic implementation enables the resolution of time differences of less than 50 ns. On-chip Hebbian learning mechanisms select inputs from a pool of neurons which code for the same sound frequency. Hence, noise caused by different synaptic delays across these inputs is reduced. Furthermore, learning compensates for variations on neuronal and synaptic parameters caused by device mismatch intrinsic to the neuromorphic substrate.
]]></description>
<dc:subject>neural-networks biologically-inspired learning-by-doing signal-processing nudge-targets algorithms experiment</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:6604534c400d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning-by-doing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:signal-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1309.2969">
    <title>[1309.2969] Lift and wakes of flying snakes</title>
    <dc:date>2013-09-16T21:56:51+00:00</dc:date>
    <link>http://arxiv.org/abs/1309.2969</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Flying snakes use a unique method of aerial locomotion: they jump from tree branches, flatten their bodies and undulate through the air to produce a glide. The shape of their body cross-section during the glide plays an important role in generating lift. This paper presents a computational investigation of the aerodynamics of the cross-sectional shape. We performed two-dimensional simulations of incompressible flow past the anatomically correct cross-section of the species Chrysopelea paradisi, showing that a significant enhancement in lift appears at an angle of attack of 35 degrees, above Reynolds numbers 2000. Previous experiments on physical models also obtained an increased lift, at the same angle of attack. The flow is inherently three-dimensional in physical experiments, due to fluid instabilities, and it is thus intriguing that the enhanced lift appears also in the two-dimensional simulations. The simulations point to the lift enhancement arising from the early separation of the boundary layer on the dorsal surface of the snake profile, without stall. The separated shear layer rolls up and interacts with secondary vorticity in the near-wake, inducing the primary vortex to remain closer to the body and thus cause enhanced suction, resulting in higher lift.
]]></description>
<dc:subject>biological-engineering modeling simulation aeronautics biologically-inspired FLYING-SNAKES</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:1e7a73a57c24/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:modeling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:aeronautics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:FLYING-SNAKES"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1305.7072">
    <title>[1305.7072] Guided self-assembly of magnetic beads for biomedical applications</title>
    <dc:date>2013-06-07T11:56:30+00:00</dc:date>
    <link>http://arxiv.org/abs/1305.7072</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Micromagnetic beads are widely used in biomedical applications for cell separation, drug delivery, and hypothermia cancer treatment. Here we propose to use self-organized magnetic bead structures which accumulate on fixed magnetic seeding points to isolate circulating tumor cells. The analysis of circulating tumor cells is an emerging tool for cancer biology research and clinical cancer management including the detection, diagnosis and monitoring of cancer. Microfluidic chips for isolating circulating tumor cells use either affinity, size or density capturing methods. We combine multiphysics simulation techniques to understand the microscopic behavior of magnetic beads interacting with Nickel accumulation points used in lab-on-chip technologies. Our proposed chip technology offers the possibility to combine affinity and size capturing with special antibody-coated bead arrangements using a magnetic gradient field created by Neodymium Iron Boron permanent magnets. The multiscale simulation environment combines magnetic field computation, fluid dynamics and discrete particle dynamics.
]]></description>
<dc:subject>self-organization medical-technology biologically-inspired cell-sorting microfluidics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:08f22ddd6919/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:medical-technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cell-sorting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:microfluidics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1301.4190">
    <title>[1301.4190] Phyllotaxis, Pushed Pattern-Forming Fronts and Optimal Packing</title>
    <dc:date>2013-04-26T22:15:27+00:00</dc:date>
    <link>http://arxiv.org/abs/1301.4190</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We demonstrate that the pattern forming partial differential equation derived from the auxin distribution model proposed by Meyerowitz, Traas and others gives rise to all spiral phyllotaxis properties observed on plants. We show how the advancing pushed pattern front chooses spiral families enumerated by Fibonacci sequences with all attendant self similar properties and connect the results with the optimal packing based algorithms previously used to explain phyllotaxis. Our results allow us to make experimentally testable predictions.
]]></description>
<dc:subject>pattern-formation phyllotaxis self-organization dynamical-systems nudge-targets biological-engineering biologically-inspired</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8bd01b0317f4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:phyllotaxis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:dynamical-systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biological-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1304.2174">
    <title>[1304.2174] Epigenetic Tracking: a Model for Multicellular Biology</title>
    <dc:date>2013-04-21T15:30:47+00:00</dc:date>
    <link>http://arxiv.org/abs/1304.2174</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Epigenetic Tracking is a model of systems of biological cells, able to generate arbitrary 3-dimensional cellular structures of any kind and complexity (in terms of shape, number of cells, etc.) starting from a single cell. If we interpret such structures as a metaphor for biological organisms, we can conclude that this model has the potential to reproduce the complexity typical of living beings. It can be shown how the model is able to mimic a simplified version of key biological phenomena such as development, the presence of junk DNA, the phenomenon of ageing and the process of carcinogenesis. The model links properties and behaviour of genes and cells to properties and behaviour of the organism, describing and interpreting the said phenomena with a unified framework: for this reason, we think it can be proposed as a model for multicellular biology. The material contained in this paper is not new: the model and its implications have been described previously. The objective of this work is to present the different aspects of the theory with a unified approach. The paper is divided into six parts: the first part is the introduction; the second part describes the cellular model; the third part is dedicated to the evo-devo process and transposable elements; the fourth part deals with junk DNA and ageing; the fifth part explores the topic of cancer; the sixth part draws the conclusions.]]></description>
<dc:subject>artificial-life generative-systems biologically-inspired emergent-design nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:9e4ba012d29e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:generative-systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1303.4969">
    <title>[1303.4969] Computation of the Travelling Salesman Problem by a Shrinking Blob</title>
    <dc:date>2013-04-08T19:30:00+00:00</dc:date>
    <link>http://arxiv.org/abs/1303.4969</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The Travelling Salesman Problem (TSP) is a well known and challenging combinatorial optimisation problem. Its computational intractability has attracted a number of heuristic approaches to generate satisfactory, if not optimal, candidate solutions. In this paper we demonstrate a simple unconventional computation method to approximate the Euclidean TSP using a virtual material approach. The morphological adaptation behaviour of the material emerges from the low-level interactions of a population of particles moving within a diffusive lattice. A `blob' of this material is placed over a set of data points projected into the lattice, representing TSP city locations, and the blob is reduced in size over time. As the blob shrinks it morphologically adapts to the configuration of the cities. The shrinkage process automatically stops when the blob no longer completely covers all cities. By manually tracing the perimeter of the blob a path between cities is elicited corresponding to a TSP tour. Over 6 runs on 20 randomly generated datasets of 20 cities this simple and unguided method found tours with a mean best tour length of 1.04, mean average tour length of 1.07 and mean worst tour length of 1.09 when expressed as a fraction of the minimal tour computed by an exact TSP solver. We examine the insertion mechanism by which the blob constructs a tour, note some properties and limitations of its performance, and discuss the relationship between the blob TSP and proximity graphs which group points on the plane. The method is notable for its simplicity and the spatially represented mechanical mode of its operation. We discuss similarities between this method and previously suggested models of human performance on the TSP and suggest possibilities for further improvement.]]></description>
<dc:subject>metaheuristics biologically-inspired algorithms traveling-salesman operations-research nudge-targets no-free-lunch-in-action</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ca8409537fde/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:metaheuristics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:traveling-salesman"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:operations-research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:no-free-lunch-in-action"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1302.7051">
    <title>[1302.7051] Polyploidy and Discontinuous Heredity Effect on Evolutionary Multi-Objective Optimization</title>
    <dc:date>2013-03-31T11:45:15+00:00</dc:date>
    <link>http://arxiv.org/abs/1302.7051</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This paper examines the effect of mimicking discontinuous heredity caused by carrying more than one chromosome in some living organisms cells in Evolutionary Multi-Objective Optimization algorithms. In this representation, the phenotype may not fully reflect the genotype. By doing so we are mimicking living organisms inheritance mechanism, where traits may be silently carried for many generations to reappear later. Representations with different number of chromosomes in each solution vector are tested on different benchmark problems with high number of decision variables and objectives. A comparison with Non-Dominated Sorting Genetic Algorithm-II is done on all problems.]]></description>
<dc:subject>toy-problems biologically-inspired multiobjective-optimization algorithms nudge-targets more-complicated-than-they-think</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:abe64f4bd036/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:toy-problems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:multiobjective-optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:more-complicated-than-they-think"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/html/1211.3476v1">
    <title>EPTCS 100: Membrane Computing and Biologically Inspired Process Calculi</title>
    <dc:date>2013-03-24T20:44:56+00:00</dc:date>
    <link>http://arxiv.org/html/1211.3476v1</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This EPTCS issue contains the papers presented at the 6th Membrane Computing and Biologically Inspired Process Calculi (MeCBIC), a satellite workshop of the 23rd International Conference on Concurrency Theory (CONCUR) held on 8th September 2012 in Newcastle upon Tyne.

The modelling and the analysis of biological systems has attracted the interest of several research communities. The notion of compartments appears in rule-based formalisms as membrane computing, and in several process calculi (bio-ambients, brane calculi, etc.). Multiset rewriting appears both in membrane computing and Petri nets. A cross fertilization of various research areas leads to deeper investigations of the relations between these related formalisms, trying also to understand their similarities and differences. MeCBIC started as an workshop devoted to membrane computing and biologically inspired process calculi. In the last years, it also attracted papers dealing with (bio-inspired) Petri nets, emphasizing the links between Petri nets and membrane systems. Membrane computing deals with the computational properties, making use of automata, formal languages, and complexity results. Petri nets are used to model and analyse several biological systems by using advanced software tools. Certain process calculi, such as mobile ambients and brane calculi, describe the compartments and their interactions, emphasizing on behaviour equivalences and stochastic aspects.]]></description>
<dc:subject>membrane-computing proceedings workshop soft-computing nudge-targets biologically-inspired</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:378c3f13d374/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:membrane-computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:proceedings"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:workshop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:soft-computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1206.0461">
    <title>[1206.0461] Geometric Mechanics of Curved Crease Origami</title>
    <dc:date>2012-08-04T01:02:04+00:00</dc:date>
    <link>http://arxiv.org/abs/1206.0461</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Folding a sheet of paper along a curve can lead to structures seen in decorative art and utilitarian packing boxes. Here we present a theory for the simplest such structure: an annular circular strip that is folded along a central circular curve to form a three-dimensional buckled structure driven by geometrical frustration. We quantify this shape in terms of the radius of the circle, the dihedral angle of the fold and the mechanical properties of the sheet of paper and the fold itself. When the sheet is isometrically deformed everywhere except along the fold itself, stiff folds result in creases with constant curvature and oscillatory torsion. However, relatively softer folds inherit the broken symmetry of the buckled shape with oscillatory curvature and torsion. Our asymptotic analysis of the isometrically deformed state is corroborated by numerical simulations which allow us to generalize our analysis to study multiply folded structures."]]></description>
<dc:subject>origami kinematics topology folding-algorithms biologically-inspired beautiful nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:b57fa57f01b5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:origami"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:kinematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:topology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:folding-algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:beautiful"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1203.1067">
    <title>[1203.1067] Cortical free association dynamics: distinct phases of a latching network</title>
    <dc:date>2012-03-12T00:57:51+00:00</dc:date>
    <link>http://arxiv.org/abs/1203.1067</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["... The occurrence and duration of latching dynamics is found through simulations to depend critically on the strength of local attractor states, expressed in the Potts model by a parameter w. Here we describe with simulations and then analytically the boundaries between distinct phases of no latching, of transient and sustained latching, deriving a phase diagram in the plane w-T, where T parametrizes thermal noise effects. Implications for real cortical dynamics are briefly reviewed in the conclusions."]]></description>
<dc:subject>neural-networks biologically-inspired dynamical-systems emergent-design nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:dbf7067d758d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:dynamical-systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1201.5440">
    <title>[1201.5440] Self-assembly of anisotropic soft particles in two dimensions</title>
    <dc:date>2012-01-27T13:37:26+00:00</dc:date>
    <link>http://arxiv.org/abs/1201.5440</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The self assembly of core-corona discs interacting via anisotropic potentials is investigated using Monte Carlo computer simulations. A minimal interaction potential that incorporates anisotropy in a simple way is introduced. It consists in a core-corona architecture in which the center of the core is shifted with respect to the center of the corona. Anisotropy can thus be tuned by progressively shifting the position of the core. Despite its simplicity, the system self organize in a rich variety of structures including stripes, triangular and rectangular lattices, and unusual plastic crystals. Our results indicate that the amount of anisotropy does not alter the lattice spacing and only influences the type of clustering (stripes, micells, etc.) of the individual particles."]]></description>
<dc:subject>self-assembly biologically-inspired simulation pattern-formation condensed-matter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a69592e63de5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-assembly"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:condensed-matter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1011.2861">
    <title>[1011.2861] A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems</title>
    <dc:date>2011-08-25T11:19:46+00:00</dc:date>
    <link>http://arxiv.org/abs/1011.2861</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 million programmable and dynamic synapses that is currently under development, and we sketch the conceptual challenges that arise from taking this platform into operation. More specifically, we aim at the establishment of this neuromorphic system as a flexible and neuroscientifically valuable modeling tool that can be used by non-hardware-experts. We consider various functional aspects to be crucial for this purpose, and we introduce a consistent workflow with detailed descriptions of all involved modules that implement the suggested steps: The integration of the hardware interface into the simulator-independent model description language PyNN; a fully automated translation between the PyNN domain and appropriate hardware configurations; an executable specification of the future neuromorphic system that can be seamlessly integrated into this biology-to-hardware mapping process as a test bench for all software layers and possible hardware design modifications; an evaluation scheme that deploys models from a dedicated benchmark library, compares the results generated by virtual or prototype hardware devices with reference software simulations and analyzes the differences. The integration of these components into one hardware-software workflow provides an ecosystem for ongoing preparative studies that support the hardware design process and represents the basis for the maturity of the model-to-hardware mapping software. The functionality and flexibility of the latter is proven with a variety of experimental results."]]></description>
<dc:subject>neural-networks biologically-inspired electronics emergent-design nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:373bb0380986/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:electronics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mashable.com/2011/05/18/video-spaceshiptwos-first-feather-glide/?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+Mashable+%28Mashable%29">
    <title>Video: SpaceShipTwo's First</title>
    <dc:date>2011-05-19T11:55:05+00:00</dc:date>
    <link>http://mashable.com/2011/05/18/video-spaceshiptwos-first-feather-glide/?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+Mashable+%28Mashable%29</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The feathering maneuver rotates the wing tips upward, slowing down the craft and allowing it to reenter the atmosphere from any angle without requiring the absolutely precise reentry angles of the Space Shuttle, which returns to Earth at orbital speeds of 16,000 mph."]]></description>
<dc:subject>spaceflight aeronautics engineering-design biologically-inspired aerodynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e145f9270b94/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:spaceflight"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:aeronautics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:aerodynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1006.5008">
    <title>[1006.5008] Detecting Danger: The Dendritic Cell Algorithm</title>
    <dc:date>2010-07-04T00:36:12+00:00</dc:date>
    <link>http://arxiv.org/abs/1006.5008</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The Dendritic Cell Algorithm (DCA) is inspired by the function of the dendritic cells of the human immune system. In nature, dendritic cells are the intrusion detection agents of the human body, policing the tissue and organs for potential invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process was facilitated through close collaboration with laboratory- based immunologists, who performed bespoke experiments, the results of which are used as an integral part of this algorithm. The DCA is a population based algorithm, with each agent in the system represented as an 'artificial DC'. Each DC has the ability to combine multiple data streams and can add context to data suspected as anomalous.…"
]]></description>
<dc:subject>metaheuristics agent-based biologically-inspired</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:39171dea16f0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:metaheuristics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1005.2815">
    <title>[1005.2815] Evolving Genes to Balance a Pole</title>
    <dc:date>2010-05-18T12:03:06+00:00</dc:date>
    <link>http://arxiv.org/abs/1005.2815</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The results obtained show that there is a clear computational potential within the model; it should therefore be possible to use other similar models as basis for EC techniques.

The adaptation of such models to EC is not straightforward. As these are mostly complex systems, a thorough comprehension of their exact dynamics is often not possible. The choice of how to encode inputs and outputs is also not a simple issue, and can greatly influence their computational potential."
]]></description>
<dc:subject>gene-regulatory-networks GRN biologically-inspired computing adaptive-control evolutionary-algorithms nudge-targets</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d2c624c581d9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:gene-regulatory-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:GRN"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:adaptive-control"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.whalepower.com/drupal/?q=node/2">
    <title>Applications | Whalepower</title>
    <dc:date>2008-08-09T11:49:39+00:00</dc:date>
    <link>http://www.whalepower.com/drupal/?q=node/2</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>nudge wind-power turbines aeronautics design engineering biologically-inspired</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7170efc03aae/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:turbines"/>
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</item>
<item rdf:about="http://www.mae.cornell.edu/lipson/">
    <title>Hod Lipson</title>
    <dc:date>2008-03-20T12:17:14+00:00</dc:date>
    <link>http://www.mae.cornell.edu/lipson/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We were talking about the Uncanny Valley a few days ago, and I was reminded of Hod's dreaming spider robots, twitching in their sleep.
]]></description>
<dc:subject>robotics genetic-programming evolutionary-algorithms machine-learning biology biologically-inspired engineering design autonomous</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:40c26b3ea263/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:genetic-programming"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
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</item>
<item rdf:about="http://scienceblogs.com/grrlscientist/2008/01/flight_of_the_microrobotic_fly.php">
    <title>Living the Scientific Life (Scientist, Interrupted): Flight of the Microrobotic Fly</title>
    <dc:date>2008-01-06T12:48:45+00:00</dc:date>
    <link>http://scienceblogs.com/grrlscientist/2008/01/flight_of_the_microrobotic_fly.php</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[And then Pink Floyd plays...?
]]></description>
<dc:subject>biologically-inspired robotics flight machine artificial-life piezoelectric actuators</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e5e854558cb5/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:piezoelectric"/>
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</item>
<item rdf:about="http://www.pnas.org/cgi/content/abstract/104/17/6974">
    <title>Complex spatial group patterns result from different animal communication mechanisms</title>
    <dc:date>2008-01-04T14:39:59+00:00</dc:date>
    <link>http://www.pnas.org/cgi/content/abstract/104/17/6974</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>flocking artificial-life complex-systems complexology pattern-formation exploration algorithms biologically-inspired</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f1ae619a74da/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complex-systems"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exploration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
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</item>
<item rdf:about="http://www.saso-conference.org/">
    <title>www.saso-conference.org</title>
    <dc:date>2007-12-03T14:43:15+00:00</dc:date>
    <link>http://www.saso-conference.org/</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>conferences adaptation machine-learning artificial-life multiagent-systems agents agent-based evolutionary-algorithms biologically-inspired emergence</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f71356661c36/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergence"/>
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</item>
<item rdf:about="http://projects.csail.mit.edu/saso2007/index.html">
    <title>SASO 2007: Home Page</title>
    <dc:date>2007-12-03T14:42:18+00:00</dc:date>
    <link>http://projects.csail.mit.edu/saso2007/index.html</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>conferences adaptation machine-learning artificial-life multiagent-systems agents agent-based evolutionary-algorithms biologically-inspired emergence</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:c225443910b1/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:adaptation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:multiagent-systems"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biologically-inspired"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergence"/>
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</item>
<item rdf:about="http://www.ecogeek.org/content/view/1165/">
    <title>Flying Manta Ray Blimp is Extremely Awesome | EcoGeek | Comment, November, Written, Video, Would</title>
    <dc:date>2007-11-22T21:37:39+00:00</dc:date>
    <link>http://www.ecogeek.org/content/view/1165/</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>autonomous biologically-inspired design engineering airship biomorphic blimp lighter-than-air</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:85301d6d229b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:autonomous"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:airship"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:blimp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:lighter-than-air"/>
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</item>
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