An analytically tractable model of neural population activity in the presence 
of common input explains high-order correlations and entropy

Bethge, M

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An analytically tractable model of neural population activity in the presence of common input explains high-order correlations and entropy

Bethge, M. (2010). An analytically tractable model of neural population activity in the presence of common input explains high-order correlations and entropy. Talk presented at CIN Systems Neuroscience Retreat. Reutlingen, Germany. 2010-10-29.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-AD70-D Version Permalink: https://hdl.handle.net/21.11116/0000-0002-AD76-7

Genre: Talk

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https://www.cin.uni-tuebingen.de/fileadmin/content/05_News_%26_Events/Conferences/Conference_101029_2nd_CIN_Retreat_2010.pdf (Table of contents) Open Access status unknown

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Creators:
Bethge, M^{1, 2}, Author

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1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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Dates: Published Online: 2010-10-29

Publication Status: Published online

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Title: CIN Systems Neuroscience Retreat

Place of Event: Reutlingen, Germany

Start-/End Date: 2010-10-29

Invited: Yes

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