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Task-driven hierarchical deep neural network models of the proprioceptive pathway
View ORCID ProfileKai J. Sandbrink, View ORCID ProfilePranav Mamidanna, Claudio Michaelis, Mackenzie Weygandt Mathis, View ORCID ProfileMatthias Bethge, View ORCID ProfileAlexander Mathis
doi: https://doi.org/10.1101/2020.05.06.081372
Kai J. Sandbrink
1The Rowland Institute at Harvard, Harvard University, Cambridge, MA USA
Pranav Mamidanna
2Institute for Theoretical Physics, Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany
3Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
Claudio Michaelis
2Institute for Theoretical Physics, Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany
4Tübingen AI Center, Tübingen, Germany
Mackenzie Weygandt Mathis
1The Rowland Institute at Harvard, Harvard University, Cambridge, MA USA
2Institute for Theoretical Physics, Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany
Matthias Bethge
2Institute for Theoretical Physics, Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany
4Tübingen AI Center, Tübingen, Germany
Alexander Mathis
1The Rowland Institute at Harvard, Harvard University, Cambridge, MA USA
2Institute for Theoretical Physics, Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany
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Posted May 26, 2020.
Task-driven hierarchical deep neural network models of the proprioceptive pathway
Kai J. Sandbrink, Pranav Mamidanna, Claudio Michaelis, Mackenzie Weygandt Mathis, Matthias Bethge, Alexander Mathis
bioRxiv 2020.05.06.081372; doi: https://doi.org/10.1101/2020.05.06.081372
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