Work

Toward characterizion of the complete visual signal in a patch of retina

Year: 2010

Type: article

Abstract: I'll describe our recent efforts to characterize the spiking responses of a complete network of ON and OFF parasol ganglion cells in a small patch of primate retina, using a general linear model that consists of: (1) a linear receptive field that operates on the stimulus; (2) a feedback filter that captures the effects of the neuron's own spike history; (3) a set of cross-coupling filters that capture the effects of spiking in neighboring cells; and (4) an output nonlinearity that converts the total input to an instantaneous probability of spiking. The model is closely related to the more biophysically realistic integrate-and-fire model, and can exhibit a wide array of biologically relevant dynamical behaviors, such as refractoriness, spike rate adaptation, and bursting. We have applied the model to simultaneously-recorded responses of groups of macaque ON and OFF parasol retinal ganglion cells, stimulated with a 120-Hz spatiotemporal binary white noise stimulus. We find that the model accurately describes the stimulus-driven response (PSTH), and reproduces both the autocorrelations and pairwise cross-correlations of multi-cell responses. Finally, we show that the model can be used to map functional connectivity, providing a complete description of the identity, direction and form of functionally significant connections between cells.

Source: Journal of Vision

DOI: 10.1167/6.13.2

Authors: E. P. Simoncelli, J. W. Pillow, J. Shlens, L. Paninski, E. J. Chichilnisky

Institutions: New York University, Gatsby Computational Neuroscience Unit, University College London, Salk Institute for Biological Studies, Columbia University

Language: English

Topic: Visual perception and processing mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,850

OpenAlex ID: W2047149804

FWCI:

Cites:

Cited by: 3

Related to: 10