Beyond GLMs: A generative mixture modeling approach to neural system 
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Bethge, M

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

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Bethge, M
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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http://grossmancenter.columbia.edu/workshop-2013.html
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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.

Cite as: https://hdl.handle.net/21.11116/0000-0001-58E2-D

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