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Neural networks / Computational neuroscience / Nervous system / Neural coding / Visual cortex / Neuron / Single-unit recording / Pyramidal cell / Temporal coding / Neuroscience / Biology / Mind


Neural Networs, 14(6-7), [removed], 2001 Face identification using one spike per neuron: resistance to image degradations Arnaud Delorme* and Simon J. Thorpe Centre de Recherche Cerveau & Cognition UMR 5549, 133, route de
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Document Date: 2003-11-04 14:52:11


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City

Amsterdam / London / Brussels / New York / New-York / Paris / /

Company

Science U S A / Plenum Press / ICANN / Imperial College Press / Hertz / AT&T Cambridge Laboratories / /

Country

France / /

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IndustryTerm

visual processing / feed-forward networks / ray-tracing algorithm / neural network / statistical networks / automatic feed-forward processing / spike-based processing / object processing / neural networks / large networks / image processing tasks / feed-forward processing / feed-forward processing strategy / neural systems / software package / face processing / last processing stage / be produced using essentially automatic feed-forward processing / /

MarketIndex

set 400 / /

OperatingSystem

Macintosh / /

Organization

Royal Society of London / Institut National de Recherche / National Academy / Delorme* and Simon J. Thorpe Centre / /

Person

Celebrini / Albright / Spike / Van Rullen / Arnaud Delorme / Vidyasagar / Simon J. Thorpe Centre de Recherche / /

Position

model / feed-forward / pure feed-forward / Stochastic Model for Human Face Identification / essentially automatic feed-forward / biologist / T. D. / /

Product

SpikeNet / /

ProvinceOrState

Ontario / /

PublishedMedium

Proceedings of the Royal Society / Journal of Neuroscience / Journal of Cognitive Neuroscience / /

Technology

neuroscience / neural network / artificial intelligence / simulation / image processing / ray-tracing algorithm / flash / Parallel processing / /

URL

http /

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