Limits of population coding
dc.citation.bibtexName | inproceedings | en_US |
dc.citation.conferenceName | Computational Neuroscience Meeting | en_US |
dc.contributor.author | Johnson, Don | en_US |
dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
dc.date.accessioned | 2007-10-31T00:48:01Z | |
dc.date.available | 2007-10-31T00:48:01Z | |
dc.date.issued | 2003-07-20 | en |
dc.date.modified | 2003-02-16 | en_US |
dc.date.note | 2003-02-16 | en_US |
dc.date.submitted | 2003-07-20 | en_US |
dc.description | Conference Paper | en_US |
dc.description.abstract | To understand whether the population response expresses information better than the aggregate of the individual responses, the sum of the individual contributions is frequently used as a baseline against which to assess the population's coding capabilities. Using information processing theory, we show that this baseline is illusory: the independent baseline case is theoretically impossible to apply consistently to any population. Instead, we use as a baseline the noncooperative population, in which each neuron processes a common input independently of the others. Using the information transfer ratio, the ratio of Kullback-Leibler distances evaluated at a population's input and output to measure a population's coding ability, we show that cooperative populations can perform either better or worse than this baseline. Furthermore, we show that population coding is effective only when each neuron poorly codes information when considered out of context of the population. | en_US |
dc.description.sponsorship | National Science Foundation | en_US |
dc.description.sponsorship | National Institute of Mental Health | en_US |
dc.identifier.citation | D. Johnson, "Limits of population coding," 2003. | |
dc.identifier.uri | https://hdl.handle.net/1911/19978 | |
dc.language.iso | eng | |
dc.subject | population coding | * |
dc.subject | information processing theory | * |
dc.subject | neural information processing | * |
dc.subject.keyword | population coding | en_US |
dc.subject.keyword | information processing theory | en_US |
dc.subject.keyword | neural information processing | en_US |
dc.subject.other | Information Processing | en_US |
dc.title | Limits of population coding | en_US |
dc.type | Conference paper | |
dc.type.dcmi | Text |
Files
Original bundle
1 - 1 of 1