Analysis of complex neural circuits with nonlinear multidimensional hidden state models

Analysis of complex neural circuits with nonlinear multidimensional hidden state models

A universal need in understanding complex networks is the identification of individual information channels and their mutual interactions under different conditions. In neuroscience, our premier example, networks made up of billions of nodes dynamically interact to bring about thought and action. Gr...

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Bibliographic Details
Main Authors: Altshuler, Alex, Sholes, Jacquelyn E. C., Friedman, Alexander, Slocum, Joshua Foster, Tyulmankov, Danil, Gibb, Leif G., Ruangwises, Suthee, Shi, Qinru, Toro Arana, Sebastian, Beck, Dirk W., Graybiel, Ann M
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: National Academy of Sciences (U.S.) 2016
Online Access:http://hdl.handle.net/1721.1/106154
https://orcid.org/0000-0003-1913-1396
https://orcid.org/0000-0002-4326-7720

Internet

http://hdl.handle.net/1721.1/106154
https://orcid.org/0000-0003-1913-1396
https://orcid.org/0000-0002-4326-7720

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