Spike-triggered neural characterization

Odelia Schwartz; Jonathan W. Pillow; Nicole C. Rust; Eero P. Simoncelli

doi:10.1167/6.4.13

Spike-triggered neural characterization

Odelia Schwartz, Jonathan W. Pillow, Nicole C. Rust, Eero P. Simoncelli

Research output: Contribution to journal › Article › peer-review

311 Scopus citations

Abstract

Response properties of sensory neurons are commonly described using receptive fields. This description may be formalized in a model that operates with a small set of linear filters whose outputs are nonlinearly combined to determine the instantaneous firing rate. Spike-triggered average and covariance analyses can be used to estimate the filters and nonlinear combination rule from extracellular experimental data. We describe this methodology, demonstrating it with simulated model neuron examples that emphasize practical issues that arise in experimental situations.

Original language	English (US)
Article number	13
Pages (from-to)	484-507
Number of pages	24
Journal	Journal of vision
Volume	6
Issue number	4
DOIs	https://doi.org/10.1167/6.4.13
State	Published - Jul 17 2006
Externally published	Yes

All Science Journal Classification (ASJC) codes

Sensory Systems
Ophthalmology

Keywords

Characterization
Neural response
Nonlinear
Receptive field
Reverse correlation
Spike-triggered analysis

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10.1167/6.4.13

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AU - Rust, Nicole C.

AU - Simoncelli, Eero P.

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AB - Response properties of sensory neurons are commonly described using receptive fields. This description may be formalized in a model that operates with a small set of linear filters whose outputs are nonlinearly combined to determine the instantaneous firing rate. Spike-triggered average and covariance analyses can be used to estimate the filters and nonlinear combination rule from extracellular experimental data. We describe this methodology, demonstrating it with simulated model neuron examples that emphasize practical issues that arise in experimental situations.

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KW - Receptive field

KW - Reverse correlation

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Spike-triggered neural characterization

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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