Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering

Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering

Neurons which fire in a fixed temporal pattern (i.e., “cell assemblies”) are hypothesized to be a fundamental unit of neural information processing. Several methods are available for the detection of cell assemblies without a time structure. However, the systematic detection of cell assemblies with...

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Bibliographic Details
Main Authors: Keita Watanabe, Tatsuya Haga, Masami Tatsuno, David R. Euston, Tomoki Fukai
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Neuroinformatics
Subjects:
neural ensemble
neural code
behavioral information
multi-neuron recordings
data mining
place cells
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00039/full

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https://www.frontiersin.org/article/10.3389/fninf.2019.00039/full

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