Clique topology reveals intrinsic geometric structure in neural correlations

Detecting meaningful structure in neural activity and connectivity data is challenging in the presence of hidden nonlinearities, where traditional eigenvalue-based methods may be misleading. We introduce a novel approach to matrix analysis, called clique topology, that extracts features of the data...

Full description

Saved in:

Bibliographic Details
Published in:	Proceedings of the National Academy of Sciences - PNAS Vol. 112; no. 44; pp. 13455 - 13460
Main Authors:	Giusti, Chad, Pastalkova, Eva, Curto, Carina, Itskov, Vladimir
Format:	Journal Article
Language:	English
Published:	United States 03.11.2015
Subjects:	Algorithms Animals Computer Simulation Hippocampus - cytology Hippocampus - physiology Models, Neurological Motor Activity - physiology Neural Pathways - physiology Neurophysiology - methods Pyramidal Cells - physiology Rats Sleep, REM - physiology structure of neural correlation Betti curves clique topology neural coding topological data analysis
ISSN:	1091-6490
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!