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...
Main Authors: | , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
National Academy of Sciences (U.S.)
2016
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Online Access: | http://hdl.handle.net/1721.1/106154 https://orcid.org/0000-0003-1913-1396 https://orcid.org/0000-0002-4326-7720 |