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Reconstructing Natural Visual Scenes From Spike Times

contributor authorLazar, Aurel /A/.
contributor authorYiyin Zhou
date accessioned2020-03-13T00:20:29Z
date available2020-03-13T00:20:29Z
date issued2014
identifier issn0018-9219
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1143121?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleReconstructing Natural Visual Scenes From Spike Times
typeJournal Paper
contenttypeMetadata Only
identifier padid8325718
subject keywordsdigital signal processing chips
subject keywordsgraphics processing units
subject keywordsneural nets
subject keywordsparallel processing
subject keywordsBSG
subject keywordsDSP
subject keywordsGPU
subject keywordsI/O analysis
subject keywordsNyquist region
subject keywordsPRC manifold
subject keywordsaxon hillock level
subject keywordsbiophysical spike generators
subject keywordsdecoding algorithm
subject keywordsdendritic stimulus processors
subject keywordsgeneralized sampling
subject keywordsgraphical processing units
subject keywordsinput/output analysis
subject keywordsintrinsic noise sources
subject keywordsnatural visual scene reconstruction
subject keywordsneural circuit architectures
subject keywordsneural encoding
subject keywordsneural encoding circuits
subject keywordsneuron active dendritic tree
subject keywordsneuron m
identifier doi10.1109/JPROC.2014.2346465
journal titleProceedings of the IEEE
journal volume102
journal issue10
filesize2254208
citations0


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