MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks.

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Title: MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks.
Authors: Codol O; Western Institute for Neuroscience, University of Western Ontario, Ontario, Canada.; Department of Psychology, University of Western Ontario, Ontario, Canada., Michaels JA; Western Institute for Neuroscience, University of Western Ontario, Ontario, Canada.; Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, University of Western Ontario, Ontario, Canada.; Robarts Research Institute, University of Western Ontario, Ontario, Canada., Kashefi M; Western Institute for Neuroscience, University of Western Ontario, Ontario, Canada.; Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, University of Western Ontario, Ontario, Canada.; Robarts Research Institute, University of Western Ontario, Ontario, Canada., Pruszynski JA; Western Institute for Neuroscience, University of Western Ontario, Ontario, Canada.; Department of Psychology, University of Western Ontario, Ontario, Canada.; Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, University of Western Ontario, Ontario, Canada.; Robarts Research Institute, University of Western Ontario, Ontario, Canada., Gribble PL; Western Institute for Neuroscience, University of Western Ontario, Ontario, Canada.; Department of Psychology, University of Western Ontario, Ontario, Canada.; Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, University of Western Ontario, Ontario, Canada.
Source: ELife [Elife] 2024 Jul 30; Vol. 12. Date of Electronic Publication: 2024 Jul 30.
Publication Type: Journal Article
Journal Info: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2050-084X
DOI:10.7554/eLife.88591