Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Marion Forano"'
Autor:
Marion Forano, David W Franklin
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008373 (2020)
The timescales of adaptation to novel dynamics are well explained by a dual-rate model with slow and fast states. This model can predict interference, savings and spontaneous recovery, but cannot account for adaptation to multiple tasks, as each new
Externí odkaz:
https://doaj.org/article/b2e5ba2fa34b4b909118dfb4f548da61
Publikováno v:
Journal of neurophysiology. 126(5)
Switching between motor tasks requires accurate adjustments for changes in dynamics (grasping a cup) or sensorimotor transformations (moving a computer mouse). Dual-adaptation studies have investigated how learning of context-dependent dynamics or tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d994ad44ce92f079cf6a3e9d1765d49b
https://pubmed.ncbi.nlm.nih.gov/34550024
https://pubmed.ncbi.nlm.nih.gov/34550024
Switching between motor tasks requires accurate adjustments for changes in dynamics (grasping a cup) or sensorimotor transformations (moving a computer mouse). Dual-adaptation studies have investigated how learning of context-dependent dynamics or tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f91f3b1c237a8b325cd2dd64a17876d1
https://doi.org/10.1101/2021.04.09.439164
https://doi.org/10.1101/2021.04.09.439164
Autor:
David W. Franklin, Marion Forano
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 10, p e1008373 (2020)
PLoS Computational Biology, Vol 16, Iss 10, p e1008373 (2020)
The timescales of adaptation to novel dynamics are well explained by a dual-rate model with slow and fast states. This model can predict interference, savings and spontaneous recovery, but cannot account for adaptation to multiple tasks, as each new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2c06e8bd84c9a02d80fb699011d643
https://pubmed.ncbi.nlm.nih.gov/33075047
https://pubmed.ncbi.nlm.nih.gov/33075047