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Identifying the most influential features of neural population responses for information encoding and behavior
Ramon Nogueira, Nicole E. Peltier, Akiyuki Anzai, Gregory C. DeAngelis, Julio Martínez-Trujillo, Rubén Moreno-Bote
doi: https://doi.org/10.1101/577379
Ramon Nogueira
1Center for Brain and Cognition & Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
2Center for Theoretical Neuroscience, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, New York, USA
Nicole E. Peltier
3Department of Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, New York, USA
Akiyuki Anzai
3Department of Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, New York, USA
Gregory C. DeAngelis
3Department of Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, New York, USA
Julio Martínez-Trujillo
4Robarts Research Institute and Brain and Mind Institute, Schulich School of Medicine and Dentistry, Departments of Psychiatry, Physiology and Pharmacology, Western University, London, Ontario, Canada
Rubén Moreno-Bote
1Center for Brain and Cognition & Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
5Serra Húnter Fellow Programme, Universitat Pompeu Fabra, Barcelona, Spain
Posted March 14, 2019.
Identifying the most influential features of neural population responses for information encoding and behavior
Ramon Nogueira, Nicole E. Peltier, Akiyuki Anzai, Gregory C. DeAngelis, Julio Martínez-Trujillo, Rubén Moreno-Bote
bioRxiv 577379; doi: https://doi.org/10.1101/577379
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