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 Neuroscijournal_title
Nature neuroscienceauthors
Schwartz GW,Okawa H,Dunn FA,Morgan JL,Kerschensteiner D,Wong RO,Rieke Fdoi
10.1038/nn.3225subject
Has Abstractpub_date
2012-11-01 00:00:00pages
1572-80issue
11eissn
1097-6256issn
1546-1726pii
nn.3225journal_volume
15pub_type
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