Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics

DOI10.1162/089976602753284473zbMath0988.92005OpenAlexW2164453743WikidataQ77362584 ScholiaQ77362584MaRDI QIDQ2775815

Stefan Rotter, Ad Aertsen, R. Gütig

Publication date: 2 July 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976602753284473

zbMATH Keywords

count distributionneural codingstest power curvesunitary-event analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)

Related Items (4)

Information-Geometric Measure for Neural Spikes ⋮ Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue ⋮ Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count ⋮ Data based identification and prediction of nonlinear and complex dynamical systems

Cites Work

• On the significance of correlations among neuronal spike trains

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