Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure

Temporally ordered multi-neuron patterns likely encode information in the brain. We introduce an unsupervised method, SPOTDisClust (Spike Pattern Optimal Transport Dissimilarity Clustering), for their detection from high-dimensional neural ensembles. SPOTDisClust measures similarity between two ense...

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Detalles Bibliográficos
Autores principales: Grossberger, Lukas, Battaglia, Francesco P., Vinck, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051652/
https://www.ncbi.nlm.nih.gov/pubmed/29979681
http://dx.doi.org/10.1371/journal.pcbi.1006283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051652/
https://www.ncbi.nlm.nih.gov/pubmed/29979681
http://dx.doi.org/10.1371/journal.pcbi.1006283

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