Neural Encoding and Representation of Time for Sensorimotor Control and Learning
Name
866.full.pdf
Description
Published version
Size
1.08 MB
Format
Adobe PDF
Checksum (MD5)
eb988013c4ffed65bcf35388fbf88110
Author(s)
Balasubramaniam, Ramesh
Haegens, Saskia
Jazayeri, Mehrdad
Merchant, Hugo
Sternad, Dagmar
Song, Joo-Hyun
Date Issued
2021
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Version
Final published version
Abstract
The ability to perceive and produce movements in the real world with precise timing is critical for survival in animals, including humans. However, research on sensorimotor timing has rarely considered the tight interrelation between perception, action, and cognition. In this review, we present new evidence from behavioral, computational, and neural studies in humans and nonhuman primates, suggesting a pivotal link between sensorimotor control and temporal processing, as well as describing new theoretical frameworks regarding timing in perception and action. We first discuss the link between movement coordination and interval-based timing by addressing how motor training develops accurate spatiotemporal patterns in behavior and influences the perception of temporal intervals. We then discuss how motor expertise results from establishing task-relevant neural manifolds in sensorimotor cortical areas and how the geometry and dynamics of these manifolds help reduce timing variability. We also highlight how neural dynamics in sensorimotor areas are involved in beat-based timing. These lines of research aim to extend our understanding of how timing arises from and contributes to perceptual-motor behaviors in complex environments to seamlessly interact with other cognitive processes.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1523/JNEUROSCI.1652-20.2020
