Literature DB >> 11395773

Retinal ganglion cells act largely as independent encoders.

S Nirenberg1, S M Carcieri, A L Jacobs, P E Latham.   

Abstract

Correlated firing among neurons is widespread in the visual system. Neighbouring neurons, in areas from retina to cortex, tend to fire together more often than would be expected by chance. The importance of this correlated firing for encoding visual information is unclear and controversial. Here we examine its importance in the retina. We present the retina with natural stimuli and record the responses of its output cells, the ganglion cells. We then use information theoretic techniques to measure the amount of information about the stimuli that can be obtained from the cells under two conditions: when their correlated firing is taken into account, and when their correlated firing is ignored. We find that more than 90% of the information about the stimuli can be obtained from the cells when their correlated firing is ignored. This indicates that ganglion cells act largely independently to encode information, which greatly simplifies the problem of decoding their activity.

Mesh:

Year:  2001        PMID: 11395773     DOI: 10.1038/35079612

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  87 in total

1.  Stimulus encoding and feature extraction by multiple sensory neurons.

Authors:  Rüdiger Krahe; Gabriel Kreiman; Fabrizio Gabbiani; Christof Koch; Walter Metzner
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

2.  Decoding spike trains instant by instant using order statistics and the mixture-of-Poissons model.

Authors:  Matthew C Wiener; Barry J Richmond
Journal:  J Neurosci       Date:  2003-03-15       Impact factor: 6.167

3.  Decoding neuronal spike trains: how important are correlations?

Authors:  Sheila Nirenberg; Peter E Latham
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-29       Impact factor: 11.205

4.  Optimal stimulus coding by neural populations using rate codes.

Authors:  Don H Johnson; Will Ray
Journal:  J Comput Neurosci       Date:  2004 Mar-Apr       Impact factor: 1.621

5.  Synergy, redundancy, and independence in population codes.

Authors:  Elad Schneidman; William Bialek; Michael J Berry
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

6.  Neural population structures and consequences for neural coding.

Authors:  Don H Johnson
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

7.  The use of decoding to analyze the contribution to the information of the correlations between the firing of simultaneously recorded neurons.

Authors:  Leonardo Franco; Edmund T Rolls; Nikolaos C Aggelopoulos; Alessandro Treves
Journal:  Exp Brain Res       Date:  2004-01-13       Impact factor: 1.972

8.  Impact of noise on retinal coding of visual signals.

Authors:  Christopher L Passaglia; John B Troy
Journal:  J Neurophysiol       Date:  2004-04-07       Impact factor: 2.714

9.  Neural coding properties based on spike timing and pattern correlation of retinal ganglion cells.

Authors:  Han-Yan Gong; Ying-Ying Zhang; Pei-Ji Liang; Pu-Ming Zhang
Journal:  Cogn Neurodyn       Date:  2010-06-29       Impact factor: 5.082

10.  Correlated firing among major ganglion cell types in primate retina.

Authors:  Martin Greschner; Jonathon Shlens; Constantina Bakolitsa; Greg D Field; Jeffrey L Gauthier; Lauren H Jepson; Alexander Sher; Alan M Litke; E J Chichilnisky
Journal:  J Physiol       Date:  2010-10-04       Impact factor: 5.182

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.