Literature DB >> 8570603

Multineuronal codes in retinal signaling.

M Meister1.   

Abstract

The visual world is presented to the brain through patterns of action potentials in the population of optic nerve fibers. Single-neuron recordings show that each retinal ganglion cell has a spatially restricted receptive field, a limited integration time, and a characteristic spectral sensitivity. Collectively, these response properties define the visual message conveyed by that neuron's action potentials. Since the size of the optic nerve is strictly constrained, one expects the retina to generate a highly efficient representation of the visual scene. By contrast, the receptive fields of nearby ganglion cells often overlap, suggesting great redundancy among the retinal output signals. Recent multineuron recordings may help resolve this paradox. They reveal concerted firing patterns among ganglion cells, in which small groups of nearby neurons fire synchronously with delays of only a few milliseconds. As there are many more such firing patterns than ganglion cells, such a distributed code might allow the retina to compress a large number of distinct visual messages into a small number of optic nerve fibers. This paper will review the evidence for a distributed coding scheme in the retinal output. The performance limits of such codes are analyzed with simple examples, illustrating that they allow a powerful trade-off between spatial and temporal resolution.

Mesh:

Year:  1996        PMID: 8570603      PMCID: PMC40099          DOI: 10.1073/pnas.93.2.609

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  22 in total

1.  Lateral geniculate relay of slowly conducting retinal afferents to cat visual cortex.

Authors:  B G Cleland; W R Levick; R Morstyn; H G Wagner
Journal:  J Physiol       Date:  1976-02       Impact factor: 5.182

2.  Cell ratios in the thalamo-cortical visual system of macaca mulatta.

Authors:  K CHOW; J S BLUM; R A BLUM
Journal:  J Comp Neurol       Date:  1950-04       Impact factor: 3.215

3.  Quantitative analysis of retinal ganglion cell classifications.

Authors:  S Hochstein; R M Shapley
Journal:  J Physiol       Date:  1976-11       Impact factor: 5.182

4.  Overlap of receptive field centers and representation of the visual field in the cat's optic tract.

Authors:  B Fischer
Journal:  Vision Res       Date:  1973-11       Impact factor: 1.886

5.  Correlated firing of cat retinal ganglion cells. I. Spontaneously active inputs to X- and Y-cells.

Authors:  D N Mastronarde
Journal:  J Neurophysiol       Date:  1983-02       Impact factor: 2.714

6.  Correlated firing of cat retinal ganglion cells. II. Responses of X- and Y-cells to single quantal events.

Authors:  D N Mastronarde
Journal:  J Neurophysiol       Date:  1983-02       Impact factor: 2.714

7.  Size, scatter and coverage of ganglion cell receptive field centres in the cat retina.

Authors:  L Peichl; H Wässle
Journal:  J Physiol       Date:  1979-06       Impact factor: 5.182

8.  Statistical dependence between neighboring retinal ganglion cells in goldfish.

Authors:  D W Arnett
Journal:  Exp Brain Res       Date:  1978-05-12       Impact factor: 1.972

9.  Spatial configurations for visual hyperacuity.

Authors:  G Westheimer; S P McKee
Journal:  Vision Res       Date:  1977       Impact factor: 1.886

10.  Maintained activity of cat retinal ganglion cells.

Authors:  R W Rodieck
Journal:  J Neurophysiol       Date:  1967-09       Impact factor: 2.714

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  40 in total

1.  Noise shaping in populations of coupled model neurons.

Authors:  D J Mar; C C Chow; W Gerstner; R W Adams; J J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

2.  Neuronal interactions improve cortical population coding of movement direction.

Authors:  E M Maynard; N G Hatsopoulos; C L Ojakangas; B D Acuna; J N Sanes; R A Normann; J P Donoghue
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

3.  Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1.

Authors:  William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

4.  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

5.  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

6.  Spikes with short inter-spike intervals in frog retinal ganglion cells are more correlated with their adjacent neurons' activities.

Authors:  Wen-Zhong Liu; Ru-Jia Yan; Wei Jing; Hai-Qing Gong; Pei-Ji Liang
Journal:  Protein Cell       Date:  2011-10-06       Impact factor: 14.870

7.  Light increases the gap junctional coupling of retinal ganglion cells.

Authors:  Edward H Hu; Feng Pan; Béla Völgyi; Stewart A Bloomfield
Journal:  J Physiol       Date:  2010-11-01       Impact factor: 5.182

8.  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

9.  Can the theory of "whitening" explain the center-surround properties of retinal ganglion cell receptive fields?

Authors:  Daniel J Graham; Damon M Chandler; David J Field
Journal:  Vision Res       Date:  2006-06-16       Impact factor: 1.886

10.  Neural variability, detection thresholds, and information transmission in the vestibular system.

Authors:  Soroush G Sadeghi; Maurice J Chacron; Michael C Taylor; Kathleen E Cullen
Journal:  J Neurosci       Date:  2007-01-24       Impact factor: 6.167

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