Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States

Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States

UP and DOWN states, the periodic fluctuations between increased and decreased spiking activity of a neuronal population, are a fundamental feature of cortical circuits. Understanding UP-DOWN state dynamics is important for understanding how these circuits represent and transmit information in the br...

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Bibliographic Details
Main Authors: Chen, Zhe, Vijayan, Sujith, Barbieri, Riccardo, Wilson, Matthew A., Brown, Emery N.
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: MIT Press 2012
Online Access:http://hdl.handle.net/1721.1/70846
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0002-6166-448X
https://orcid.org/0000-0001-7149-3584

Internet

http://hdl.handle.net/1721.1/70846
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0002-6166-448X
https://orcid.org/0000-0001-7149-3584

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