A Dynamical Systems Perspective on Flexible Motor Timing
Name
nihms1501280.pdf
Description
Accepted version
Size
849.48 KB
Format
Adobe PDF
Checksum (MD5)
4e6adae49ade39656258f417d9734adf
Author(s)
Remington, Evan D
Egger, Seth W
Narain, Devika
Wang, Jing
Jazayeri, Mehrdad
Date Issued
2018
Journal
Trends in Cognitive Sciences
Publisher
Elsevier BV
Version
Author's final manuscript
Abstract
© 2018 Elsevier Ltd 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.
MIT Department
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.TICS.2018.07.010
