An exploratory data analysis method for identifying brain regions and frequencies of interest from large-scale neural recordings

DOI10.1007/s10827-018-0705-9zbMath1414.92157OpenAlexW2903393964WikidataQ90236126 ScholiaQ90236126MaRDI QIDQ2418229

Sridevi V. Sarma, John Gale, Macauley S. Breault, Pierre Sacré, Jorge González-Martínez

Publication date: 3 June 2019

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://orbi.uliege.be/handle/2268/235497

zbMATH Keywords

singular value decompositionexploratory data analysismultivariate neural datastereoelectroencephalography

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Related Items (1)

Editorial: Emerging techniques in statistical analysis of neural data

Cites Work

• Analysis of neural data
• A review of methods for spike sorting: the detection and classification of neural action potentials
• Matrix Algebra

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