Article Information
History
- April 13, 2020.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Author Information
- Pratik S. Sachdeva1,2,3,*,
- Jesse A. Livezey1,3,
- Maximilian E. Dougherty3,
- Bon-Mi Gu4,
- Joshua D. Berke4,5 and
- Kristofer E. Bouchard1,3,6,7
- 1Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, California, USA
- 2Department of Physics, University of California, Berkeley, Berkeley, California, USA
- 3Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- 4Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- 5Department of Psychiatry; Neuroscience Graduate Program; Kavli Institute for Fundamental Neuroscience; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
- 6Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- 7Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA
- ↵* Corresponding author; email: pratik.sachdeva{at}berkeley.edu
Posted April 13, 2020.
Accurate inference in parametric models reshapes neuroscientific interpretation and improves data-driven discovery
