%0 Journal Article %1 Pouget:2000 %A Pouget, Alexandre %A Dyan, Teter %A Zemel, Richard %D 2000 %J Nature Reviews Neuroscience %K basis bayes codes; decoding; function; likelihood; maxmum population representation; %P 125-132 %T Information Processing with population codes %V 1 %X Information is encoded in the brain by populations or clusters of cells, rather than by single cells. This encoding strategy is known as population coding. Here we review the standard use of population codes for encoding and decoding information, and consider how population codes can be used to support neural computations such as noise removal and nonlinear mapping. More radical ideas about how population codes may directly represent information about stimulus uncertainty are also discussed.

@article{Pouget:2000, abstract = {Information is encoded in the brain by populations or clusters of cells, rather than by single cells. This encoding strategy is known as population coding. Here we review the standard use of population codes for encoding and decoding information, and consider how population codes can be used to support neural computations such as noise removal and nonlinear mapping. More radical ideas about how population codes may directly represent information about stimulus uncertainty are also discussed.}, added-at = {2009-06-26T15:25:19.000+0200}, author = {Pouget, Alexandre and Dyan, Teter and Zemel, Richard}, biburl = {https://www.bibsonomy.org/bibtex/2cd5e5ae2aba5568f2e80e8bff96a4791/butz}, comment = {Informationen können durch population codes als Wahrscheinlichkeitsfunktion dargestellt werden. Rauschen kann durch einfache attraktor netze reduziert werden.}, description = {diverse cognitive systems bib}, interhash = {87757e58a91f47683b1363f4641c5548}, intrahash = {cd5e5ae2aba5568f2e80e8bff96a4791}, journal = {Nature Reviews Neuroscience}, keywords = {basis bayes codes; decoding; function; likelihood; maxmum population representation;}, month = Nov, owner = {martin}, pages = {125-132}, timestamp = {2009-06-26T15:25:50.000+0200}, title = {Information Processing with population codes}, volume = 1, year = 2000 }