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The population tracking model: A simple, scalable statistical model for neural population data
View ORCID ProfileCian O’Donnell, J. Tiago Gonçalves, Nick Whiteley, View ORCID ProfileCarlos Portera-Cailliau, View ORCID ProfileTerrence J. Sejnowski
doi: https://doi.org/10.1101/064717
Cian O’Donnell
1Department of Computer Science, Bristol, UK
3Howard Hughes Medical Institute, La Jolla CA, USA
J. Tiago Gonçalves
4Salk Institute for Biological Studies, La Jolla CA, USA
5Departments of Neurology and Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
Nick Whiteley
2School of Mathematics, University of Bristol, Bristol, UK
Carlos Portera-Cailliau
5Departments of Neurology and Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
Terrence J. Sejnowski
3Howard Hughes Medical Institute, La Jolla CA, USA
6Division of Biological Sciences, University of California at San Diego, La Jolla, CA, USA
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Posted July 19, 2016.
The population tracking model: A simple, scalable statistical model for neural population data
Cian O’Donnell, J. Tiago Gonçalves, Nick Whiteley, Carlos Portera-Cailliau, Terrence J. Sejnowski
bioRxiv 064717; doi: https://doi.org/10.1101/064717
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