Literature DB >> 2288894

Cone receptive field in cat retina computed from microcircuitry.

R G Smith1, P Sterling.   

Abstract

The receptive-field profile of the cone in cat-retina was computed. The computation was based on (1) the known anatomical circuit connecting cones via narrow-field bipolar cells to the on-beta ganglion cell; (2) the known physiological receptive-field profile of the on-beta (X) cell at the corresponding eccentricity; and (3) a model in which the beta receptive field arises by linear superposition of cone receptive fields. The computed cone receptive field has a center/surround organization with a center almost as broad as that of the beta cell center. The cone surround is comparably broad to that of the beta cell but somewhat lower in peak amplitude. The problems to which the center/surround receptive field are the solution, namely, signal compression and noise reduction, apparently must be solved before the first synapse of the visual pathway.

Mesh:

Year:  1990        PMID: 2288894     DOI: 10.1017/s0952523800000572

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  4 in total

1.  The influence of different retinal subcircuits on the nonlinearity of ganglion cell behavior.

Authors:  Matthias H Hennig; Klaus Funke; Florentin Wörgötter
Journal:  J Neurosci       Date:  2002-10-01       Impact factor: 6.167

2.  Computational model of the on-alpha ganglion cell receptive field based on bipolar cell circuitry.

Authors:  M A Freed; R G Smith; P Sterling
Journal:  Proc Natl Acad Sci U S A       Date:  1992-01-01       Impact factor: 11.205

3.  Ideal observer analysis of signal quality in retinal circuits.

Authors:  Robert G Smith; Narender K Dhingra
Journal:  Prog Retin Eye Res       Date:  2009-05-13       Impact factor: 21.198

4.  Role of the mouse retinal photoreceptor ribbon synapse in visual motion processing for optokinetic responses.

Authors:  Yuko Sugita; Fumiyuki Araki; Taro Chaya; Kenji Kawano; Takahisa Furukawa; Kenichiro Miura
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

  4 in total

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