Use este identificador para citar ou linkar para este item: https://repositorio.ufrn.br/jspui/handle/1/6252
Título: Detecting cell assemblies in large neuronal populations
Autor(es): Lopes-dos-Santos, Vitor
Ribeiro, Sidarta
Tort, Adriano
Palavras-chave: Cell assemblies;Principal component analysis;Independent component;Assembly vectors
Data do documento: Jul-2013
Editor: Elsevier
Citação: LOPES-DOS-SANTOS, Vitor; RIBEIRO, Sidarta; TORT, Adriano B. L. Detecting cell assemblies in large neuronal populations. Journal of Neuroscience Methods, 2013. DOI:
Abstract: Recent progress in the technology for single unit recordings has given the neuroscientific community theopportunity to record the spiking activity of large neuronal populations. At the same pace, statistical andmathematical tools were developed to deal with high-dimensional datasets typical of such recordings.A major line of research investigates the functional role of subsets of neurons with significant co-firingbehavior: the Hebbian cell assemblies. Here we review three linear methods for the detection of cellassemblies in large neuronal populations that rely on principal and independent component analysis.Based on their performance in spike train simulations, we propose a modified framework that incorpo-rates multiple features of these previous methods. We apply the new framework to actual single unitrecordings and show the existence of cell assemblies in the rat hippocampus, which typically oscillate attheta frequencies and couple to different phases of the underlying field rhythm
URI: http://repositorio.ufrn.br:8080/jspui/handle/1/6252
ISSN: 0165-0270
Aparece nas coleções:ICe - Artigos publicados em periódicos

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