Internal models of sensorimotor integration regulate cortical dynamics
Name
nihms-1537671.pdf
Description
Accepted version
Size
2.41 MB
Format
Adobe PDF
Checksum (MD5)
bbde11ded0b374068181200429222d08
Author(s)
Egger, Seth W
Remington, Evan D
Chang, Chia-Jung
Jazayeri, Mehrdad
Date Issued
2019
Journal
Nature Neuroscience
Publisher
Springer Science and Business Media LLC
Version
Author's final manuscript
Abstract
© 2019, The Author(s), under exclusive licence to Springer Nature America, Inc. Sensorimotor control during overt movements is characterized in terms of three building blocks: a controller, a simulator and a state estimator. We asked whether the same framework could explain the control of internal states in the absence of movements. Recently, it was shown that the brain controls the timing of future movements by adjusting an internal speed command. We trained monkeys in a novel task in which the speed command had to be dynamically controlled based on the timing of a sequence of flashes. Recordings from the frontal cortex provided evidence that the brain updates the internal speed command after each flash based on the error between the timing of the flash and the anticipated timing of the flash derived from a simulated motor plan. These findings suggest that cognitive control of internal states may be understood in terms of the same computational principles as motor control.
MIT Department
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/S41593-019-0500-6
