| Document Date: 2012-03-07 07:41:35
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City Cambridge / / Company Neural Systems / Pulsed Neural Networks / Artificial Neural Networks / MIT Press / ICANN / Winner-Take-All Networks / C Bartolozzi / / / Event Business Partnership / / Facility Center of Excellence Bielefeld University / Bielefeld University / Johns Hopkins University / Institute of Neuroinformatics University / / IndustryTerm conventional electronic systems / sensory processing / attractor network / sensory systems / overall network / pulse-coded communications infrastructure / individual sWTA networks / neuromorphic chips / neuromorphic asynchronous spiking systems / Real-time inference / real-time using networks / sWTA network / data using networks / software implementations / distributed electronic hardware / input networks / large networks / prodigious feats using networks / communication protocol / real-time data integration / incorrect solution / attractor networks / asynchronous infrastructure / multi-chip address-event systems / neuromorphic systems / neuromorphic network / suboptimal solution / robotic systems / neuromorphic electronic systems / electronic systems / generic processing / sWTA networks / / Organization MIT / Neuroinformatics University of Zurich / Bielefeld University / Johns Hopkins University / European Union / Excellence Bielefeld University / / Person Daniel Sonnleithner / Elisabetta Chicca / Rodney Douglas / Matthew Cook / J. M. Beck / Dane Corneil / / Position feed-forward / C. Bishop / Eds / / ProgrammingLanguage R / / PublishedMedium Current Opinion / Nature Reviews Neuroscience / Nature Neuroscience / / Technology Neuroscience / FPGA / RAM / Chip The WTA2D chip / WTA2D chip / neural network / communication protocol / IF2D chip / Cognitive Interaction Technology / The WTA2D chip / same chip / /
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Real-time inference in a VLSI spiking neural network Dane Corneil∗ , Daniel Sonnleithner∗ , Emre Neftci∗ , Elisabetta Chicca† , Matthew Cook∗ , Giacomo Indiveri∗ , Rodney Douglas∗ ∗ Institute of Neuroinfo