Tracking recurrence of correlation structure in neuronal recordings

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• 作者：Samuel A. Neymotin^a ; ^{samn@neurosim.downstate.edu} ; Zoe N. Talbot^d ; ^e ; Jeeyune Q. Jung^f ; André ; A. Fenton^a ; ^d ; William W. Lytton^a ; ^b ; ^c ; ^f
• 关键词：Correlation structure ; Temporal recurrence ; Multiscale analysis ; Neuronal ensembles ; Local field potentials
• 刊名：Journal of Neuroscience Methods
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：275
• 期：Complete
• 页码：1-9
• 全文大小：4875 K
• 卷排序：275

文摘

PCo, a multiscale method, determines the recurrence of neural correlation structure. PCo operates at multiple temporal and spatial scales without dimensional reduction. PCo detects different place cell ensemble states which represent the environment. PCo reveals anomalous brain states in field potentials from an animal epilepsy model.