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A sparse matrix factorization algorithm for extracting co-activating neurons from large-scale recordings

Project description

EnsemblePursuit-- a sparse matrix factorization algorithm for extracting co-activating neurons from large-scale recordings

Ensemble Pursuit is a matrix factorization algorithm that extracts sparse neural components of co-activating cells.

The matrix U is a sparse matrix (because of an L0 penalty in the cost function) that encodes which neurons belong to a component. V is an average timecourse of these neurons, e.g. component time course.

For more details see the wiki and our Statistical Analysis of Neural Data 2019 workshop poster

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Ensembles learned using EnsemblePursuit from recordings in V1 have Gabor receptive fields.

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Some ensembles are well explained by behavior PC's extracted from mouse orofacial movies.

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