Motor planning flexibly optimizes performance under uncertainty about task goals

Autor: Aaron L. Wong, Adrian M. Haith
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/ncomms14624
Popis: It is thought that, when goals are uncertain, actions are generated by averaging multiple possible movement plans. Here the authors show that movement planning under uncertainty instead varies flexibly depending on the speed of the movement in order to maximize success.
Databáze: Directory of Open Access Journals