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Mapping nonlinear receptive field structure in primate retina at single cone resolution.

dc.contributor.author Freeman, Jeremy
dc.contributor.author Field, Greg D
dc.contributor.author Li, Peter H
dc.contributor.author Greschner, Martin
dc.contributor.author Gunning, Deborah E
dc.contributor.author Mathieson, Keith
dc.contributor.author Sher, Alexander
dc.contributor.author Litke, Alan M
dc.contributor.author Paninski, Liam
dc.contributor.author Simoncelli, Eero P
dc.contributor.author Chichilnisky, EJ
dc.date.accessioned 2018-05-01T13:36:34Z
dc.date.available 2018-05-01T13:36:34Z
dc.date.issued 2015-10-30
dc.identifier.issn 2050-084X
dc.identifier.issn 2050-084X
dc.identifier.uri https://hdl.handle.net/10161/16628
dc.description.abstract The function of a neural circuit is shaped by the computations performed by its interneurons, which in many cases are not easily accessible to experimental investigation. Here, we elucidate the transformation of visual signals flowing from the input to the output of the primate retina, using a combination of large-scale multi-electrode recordings from an identified ganglion cell type, visual stimulation targeted at individual cone photoreceptors, and a hierarchical computational model. The results reveal nonlinear subunits in the circuity of OFF midget ganglion cells, which subserve high-resolution vision. The model explains light responses to a variety of stimuli more accurately than a linear model, including stimuli targeted to cones within and across subunits. The recovered model components are consistent with known anatomical organization of midget bipolar interneurons. These results reveal the spatial structure of linear and nonlinear encoding, at the resolution of single cells and at the scale of complete circuits.
dc.language eng
dc.publisher eLife Sciences Publications, Ltd
dc.relation.ispartof eLife
dc.relation.isversionof 10.7554/elife.05241
dc.subject Neurons
dc.subject Retina
dc.subject Animals
dc.subject Macaca
dc.subject Photic Stimulation
dc.subject Models, Neurological
dc.subject Computer Simulation
dc.subject Retinal Cone Photoreceptor Cells
dc.subject Neuroanatomical Tract-Tracing Techniques
dc.title Mapping nonlinear receptive field structure in primate retina at single cone resolution.
dc.type Journal article
duke.contributor.id Field, Greg D|0663656
dc.date.updated 2018-05-01T13:36:32Z
pubs.issue OCTOBER2015
pubs.organisational-group School of Medicine
pubs.organisational-group Duke
pubs.organisational-group Biomedical Engineering
pubs.organisational-group Pratt School of Engineering
pubs.organisational-group Neurobiology
pubs.organisational-group Basic Science Departments
pubs.organisational-group Duke Institute for Brain Sciences
pubs.organisational-group University Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.publication-status Published
pubs.volume 4


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