A sparse matrix factorization algorithm for extracting co-activating neurons from large-scale recordings
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
Ensembles learned using EnsemblePursuit from recordings in V1 have Gabor receptive fields.
Some ensembles are well explained by behavior PC's extracted from mouse orofacial movies.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size EnsemblePursuit-0.0.3-py3-none-any.whl (18.1 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size EnsemblePursuit-0.0.3.tar.gz (5.0 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for EnsemblePursuit-0.0.3-py3-none-any.whl