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Detecting Multineuronal Temporal Patterns in Parallel Spike Trains
We present a non-parametric and computationally efficient method that detects spatiotemporal firing patterns and pattern sequences in parallel spike trains and tests whether the observed numbers of repeating patterns and sequences on a given timescale are significantly different from those expected...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Research Foundation
2012
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3357495/ https://ncbi.nlm.nih.gov/pubmed/22661942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2012.00018 |
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