Journal of Vision - Spike-triggered neural characterization, by Schwartz, Pillow, Rust, & Simoncelli

Volume 6, Number 4, Article 13, Pages 484-507

doi:10.1167/6.4.13

http://journalofvision.org/6/4/13/

ISSN 1534-7362

Spike-triggered neural characterization

Odelia Schwartz	Howard Hughes Medical Institute and The Salk Intitute, La Jolla, CA, USA
Jonathan W. Pillow	Gatsby Computational Neuroscience Unit, University College London, London, UK
Nicole C. Rust	Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
Eero P. Simoncelli	Howard Hughes Medical Institute and Center for Neural Science, New York University, New York, NY, USA

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.

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History

Received September 4, 2005; published July 17, 2006

Citation

Schwartz, O., Pillow, J. W., Rust, N. C., & Simoncelli, E. P. (2006). Spike-triggered neural characterization. Journal of Vision, 6(4):13, 484-507, http://journalofvision.org/6/4/13/, doi:10.1167/6.4.13.

Keywords

spike-triggered analysis, characterization, neural response, receptive field, reverse correlation, nonlinear

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