Literature DB >> 15882648

Redundancy in the population code of the retina.

Jason L Puchalla1, Elad Schneidman, Robert A Harris, Michael J Berry.   

Abstract

We have explored the manner in which the population of retinal ganglion cells collectively represent the visual world. Ganglion cells in the salamander were recorded simultaneously with a multielectrode array during stimulation with both artificial and natural visual stimuli, and the mutual information that single cells and pairs of cells conveyed about the stimulus was estimated. We found significant redundancy between cells spaced as far as 500 mum apart. When we used standard methods for defining functional types, only ON-type and OFF-type cells emerged as truly independent information channels. Although the average redundancy between nearby cell pairs was moderate, each ganglion cell shared information with many neighbors, so that visual information was represented approximately 10-fold within the ganglion cell population. This high degree of retinal redundancy suggests that design principles beyond coding efficiency may be important at the population level.

Mesh:

Year:  2005        PMID: 15882648     DOI: 10.1016/j.neuron.2005.03.026

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  88 in total

1.  Decorrelation and efficient coding by retinal ganglion cells.

Authors:  Xaq Pitkow; Markus Meister
Journal:  Nat Neurosci       Date:  2012-03-11       Impact factor: 24.884

2.  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

3.  Low error discrimination using a correlated population code.

Authors:  Greg Schwartz; Jakob Macke; Dario Amodei; Hanlin Tang; Michael J Berry
Journal:  J Neurophysiol       Date:  2012-04-25       Impact factor: 2.714

4.  Optimal population coding by noisy spiking neurons.

Authors:  Gasper Tkacik; Jason S Prentice; Vijay Balasubramanian; Elad Schneidman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-26       Impact factor: 11.205

5.  "Yes! We're all individuals!": redundancy in neuronal circuits.

Authors:  Timothy E Holy
Journal:  Nat Neurosci       Date:  2010-11       Impact factor: 24.884

6.  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

7.  Weak pairwise correlations imply strongly correlated network states in a neural population.

Authors:  Elad Schneidman; Michael J Berry; Ronen Segev; William Bialek
Journal:  Nature       Date:  2006-04-09       Impact factor: 49.962

8.  How much the eye tells the brain.

Authors:  Kristin Koch; Judith McLean; Ronen Segev; Michael A Freed; Michael J Berry; Vijay Balasubramanian; Peter Sterling
Journal:  Curr Biol       Date:  2006-07-25       Impact factor: 10.834

9.  Differential responses to high-frequency electrical stimulation in ON and OFF retinal ganglion cells.

Authors:  Perry Twyford; Changsi Cai; Shelley Fried
Journal:  J Neural Eng       Date:  2014-02-21       Impact factor: 5.379

10.  Balancing the Robustness and Efficiency of Odor Representations during Learning.

Authors:  Monica W Chu; Wankun L Li; Takaki Komiyama
Journal:  Neuron       Date:  2016-09-22       Impact factor: 17.173

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