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City New York / Cambridge / / Company MIT Press / Plenum Press / SpikeNet Technology / THE VISUAL SYSTEM USING NETWORKS / Simtec Electronics / / Event Business Partnership / / IndustryTerm bridge chip / visual processing / sensory systems / processor / layer feed-forward network / neuron network / supervised learning algorithm / large neuronal networks / connection technology / neural networks / biological systems / real time / large networks / parallel digital hardware / real-time performance / particular processor / artificial neural networks / low cost parallel computer hardware / machine vision systems / image processing systems / local processing / even low cost multiprocessor hardware / artificial systems / Conventional neural networks / real-time simulation / biological visual systems / neural network / interprocessor communications / biological vision systems / multiprocessor hardware / image processing / visual processing stage / control systems / electronics / multi-processor hardware / large scale processing architectures / face detection network / strict law / bridge chips / / MarketIndex set 3000 / / Organization ON-centre / MIT / Eye Image OFF-Centre Units 90° Face / Off-centre / W. Paquier Centre / / Person Rufin van Rullen / Van Rullen / R. Van Rullen / / Position Editor / Bishop / representative / / ProvinceOrState Massachusetts / / Technology Neuroscience / low-power StrongARM processor / RAM / IMAGE COMPRESSION / Flash Memory chip / fast Ethernet / particular processor / Ethernet connection technology / simulation system / image processing / PCI bridge chip / Ethernet / separate processor / machine vision / neural network / supervised learning algorithm / SDRAM / simulation / VIA protocol / second generation PCI bridge chips / Gigabit Ethernet / local processor / / URL http /
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IEEE International Symposium on Circuits and Systems, 2000, 4, [removed]REVERSE ENGINEERING OF THE VISUAL SYSTEM USING NETWORKS OF SPIKING NEURONS S.J. Thorpe, A. Delorme, R. Van Rullen, W. Paquier Centre de Recherche Ce