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The brain uses invariant dynamics to generalize outputs across movements
View ORCID ProfileVivek R. Athalye, View ORCID ProfilePreeya Khanna, Suraj Gowda, View ORCID ProfileAmy L. Orsborn, Rui M. Costa, Jose M. Carmena
doi: https://doi.org/10.1101/2021.08.27.457931
Vivek R. Athalye
1Zuckerman Mind Brain Behavior Institute, Departments of Neuroscience and Neurology, Columbia University; New York, NY, USA
Preeya Khanna
2Department of Neurology, University of California, San Francisco; San Francisco, CA, USA
Suraj Gowda
4Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Berkeley, CA, USA
Amy L. Orsborn
3Departments of Bioengineering, Electrical and Computer Engineering, University of Washington, Seattle; Seattle, WA, USA
Rui M. Costa
1Zuckerman Mind Brain Behavior Institute, Departments of Neuroscience and Neurology, Columbia University; New York, NY, USA
Jose M. Carmena
4Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Berkeley, CA, USA
5Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA, USA
6UC Berkeley-UCSF Joint Graduate Program in Bioengineering, University of California, Berkeley; Berkeley, CA, USA
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Posted August 28, 2021.
The brain uses invariant dynamics to generalize outputs across movements
Vivek R. Athalye, Preeya Khanna, Suraj Gowda, Amy L. Orsborn, Rui M. Costa, Jose M. Carmena
bioRxiv 2021.08.27.457931; doi: https://doi.org/10.1101/2021.08.27.457931
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