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A Neuronal Least-Action Principle for Real-Time Learning in Cortical Circuits

View ORCID ProfileWalter Senn, Dominik Dold, Akos F. Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A. Petrovici
doi: https://doi.org/10.1101/2023.03.25.534198
Walter Senn
aDepartment of Physiology, University of Bern
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  • For correspondence: senn@pyl.unibe.ch
Dominik Dold
aDepartment of Physiology, University of Bern
bKirchhoff-Institute for Physics, Heidelberg University
cEuropean Space Research and Technology Centre, European Space Agency
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Akos F. Kungl
aDepartment of Physiology, University of Bern
bKirchhoff-Institute for Physics, Heidelberg University
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Benjamin Ellenberger
aDepartment of Physiology, University of Bern
fInsel Data Science Center, University Hospital Bern
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Jakob Jordan
aDepartment of Physiology, University of Bern
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Yoshua Bengio
dMILA, University of Montreal
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João Sacramento
eDepartment of Computer Science, ETH Zurich
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Mihai A. Petrovici
aDepartment of Physiology, University of Bern
bKirchhoff-Institute for Physics, Heidelberg University
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Posted March 25, 2023.
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A Neuronal Least-Action Principle for Real-Time Learning in Cortical Circuits
Walter Senn, Dominik Dold, Akos F. Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A. Petrovici
bioRxiv 2023.03.25.534198; doi: https://doi.org/10.1101/2023.03.25.534198
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A Neuronal Least-Action Principle for Real-Time Learning in Cortical Circuits
Walter Senn, Dominik Dold, Akos F. Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A. Petrovici
bioRxiv 2023.03.25.534198; doi: https://doi.org/10.1101/2023.03.25.534198

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