Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains

DOI10.1162/NECO.2009.12-08-928zbMath1186.62133arXiv0808.3511OpenAlexW2118722497WikidataQ51774682 ScholiaQ51774682MaRDI QIDQ3556791

P. S. Sastry, K. P. Unnikrishnan

Publication date: 26 April 2010

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

Full work available at URL: https://arxiv.org/abs/0808.3511

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)

Related Items (3)

Discovering injective episodes with general partial orders ⋮ Statistical significance of episodes with general partial orders ⋮ Neuronal Spike Train Analysis Using Gaussian Process Models

Cites Work

• A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains

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