Spike-triggered neural characterization.

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.

• Publication year

  2006

• Venue

  Journal of Vision

• Publication date

  2006-07-17

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1167/6.4.13PMID 16889482
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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