Document Detail


Coding "what" and "when" in the Archer fish retina.
MedLine Citation:
PMID:  21079682     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Traditionally, the information content of the neural response is quantified using statistics of the responses relative to stimulus onset time with the assumption that the brain uses onset time to infer stimulus identity. However, stimulus onset time must also be estimated by the brain, making the utility of such an approach questionable. How can stimulus onset be estimated from the neural responses with sufficient accuracy to ensure reliable stimulus identification? We address this question using the framework of colour coding by the archer fish retinal ganglion cell. We found that stimulus identity, "what", can be estimated from the responses of best single cells with an accuracy comparable to that of the animal's psychophysical estimation. However, to extract this information, an accurate estimation of stimulus onset is essential. We show that stimulus onset time, "when", can be estimated using a linear-nonlinear readout mechanism that requires the response of a population of 100 cells. Thus, stimulus onset time can be estimated using a relatively simple readout. However, large nerve cell populations are required to achieve sufficient accuracy.
Authors:
Genadiy Vasserman; Maoz Shamir; Avi Ben Simon; Ronen Segev
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-11-04
Journal Detail:
Title:  PLoS computational biology     Volume:  6     ISSN:  1553-7358     ISO Abbreviation:  PLoS Comput. Biol.     Publication Date:  2010  
Date Detail:
Created Date:  2010-11-16     Completed Date:  2011-03-29     Revised Date:  2013-07-03    
Medline Journal Info:
Nlm Unique ID:  101238922     Medline TA:  PLoS Comput Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e1000977     Citation Subset:  IM    
Affiliation:
Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
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MeSH Terms
Descriptor/Qualifier:
Animals
Computational Biology / methods*
Models, Animal
Perciformes / physiology*
Photic Stimulation*
Retinal Ganglion Cells / physiology*
Comments/Corrections

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