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  Beyond GLMs: A generative mixture modeling approach to neural system identification

Bethge, M. (2013). Beyond GLMs: A generative mixture modeling approach to neural system identification. Talk presented at Columbia University: Workshop on Quantifying Structure in Large Neural Datasets. New York, NY, USA.

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 Creators:
Bethge, M1, 2, Author              
Affiliations:
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: 2013-10-16
 Publication Status: Published in print
 Pages: -
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Title: Columbia University: Workshop on Quantifying Structure in Large Neural Datasets
Place of Event: New York, NY, USA
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Invited: Yes

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