Journal
NEURAL COMPUTATION
Volume 16, Issue 11, Pages 2323-2349Publisher
MIT PRESS
DOI: 10.1162/0899766041941952
Keywords
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Funding
- NIMH NIH HHS [1R01 MH64537-01] Funding Source: Medline
- NINDS NIH HHS [N01-NS-2-2346] Funding Source: Medline
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Determining the variations in response latency of one or several neurons to a stimulus is of interest in different contexts. Two common problems concern correlating latency with a particular behavior, for example, the reaction time to a stimulus, and adjusting tools for detecting synchronization between two neurons. We use two such problems to illustrate the latency testing and estimation methods developed in this article. Our test for latencies is a formal statistical test that produces a p-value. It is applicable for Poisson and non-Poisson spike trains via use of the bootstrap. Our estimation method is model free, it is fast and easy to implement, and its performance compares favorably to other methods currently available.
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