The spatial structure of a nonlinear receptive field.

Abstract:

:Understanding a sensory system implies the ability to predict responses to a variety of inputs from a common model. In the retina, this includes predicting how the integration of signals across visual space shapes the outputs of retinal ganglion cells. Existing models of this process generalize poorly to predict responses to new stimuli. This failure arises in part from properties of the ganglion cell response that are not well captured by standard receptive-field mapping techniques: nonlinear spatial integration and fine-scale heterogeneities in spatial sampling. Here we characterize a ganglion cell's spatial receptive field using a mechanistic model based on measurements of the physiological properties and connectivity of only the primary excitatory circuitry of the retina. The resulting simplified circuit model successfully predicts ganglion-cell responses to a variety of spatial patterns and thus provides a direct correspondence between circuit connectivity and retinal output.

journal_name

Nat Neurosci

journal_title

Nature neuroscience

authors

Schwartz GW,Okawa H,Dunn FA,Morgan JL,Kerschensteiner D,Wong RO,Rieke F

doi

10.1038/nn.3225

subject

Has Abstract

pub_date

2012-11-01 00:00:00

pages

1572-80

issue

11

eissn

1097-6256

issn

1546-1726

pii

nn.3225

journal_volume

15

pub_type

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