A Dynamical Systems Perspective on Flexible Motor Timing.

Autor: Remington ED; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; These authors contributed equally to this work., Egger SW; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; These authors contributed equally to this work., Narain D; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Netherlands Institute for Neuroscience, Amsterdam, BA 1105, The Netherlands; Erasmus Medical Center, Rotterdam, The Netherlands., Wang J; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Bioengineering, University of Missouri, Columbia, MO 65201, USA., Jazayeri M; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: mjaz@mit.edu.
Jazyk: angličtina
Zdroj: Trends in cognitive sciences [Trends Cogn Sci] 2018 Oct; Vol. 22 (10), pp. 938-952.
DOI: 10.1016/j.tics.2018.07.010
Abstrakt: A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We adopt a dynamical systems perspective and outline how temporal flexibility in such a system can be achieved through manipulations of inputs and initial conditions. We then review evidence from experiments in nonhuman primates that support this interpretation. Finally, we explore the broader utility and limitations of the dynamical systems perspective as a general framework for addressing open questions related to the temporal control of movements, as well as in the domains of learning and sequence generation.
(Copyright © 2018 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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