NIH HPC News & Announcements
Biowulf 20th anniversary seminar series: Romain Quentin and Leonardo Claudino (Leonardo Cohen's Lab, NINDS)
Date: 14 May 2019 15:05:05
From: "Ulloa Perez, Antonio "
The Biowulf 20th anniversary seminar series continues with:
Decoding Time-resolved Neural Representations of Working Memory and Motor Learning
Romain Quentin and Leonardo Claudino
(Leonardo Cohen's Lab, NINDS)
Bldg 50, Rm 1227
Thursday, May 23, 2019, 10-11am
This talk will be videocast at https://videocast.nih.gov/summary.asp?live=33130
Abstract:
Unprecedented progress in machine learning have recently revolutionized many sectors of our society like self-driving cars. Over the last few years, we implemented multivariate analytical approaches (MVPA) of magnetoencephalographic activity (MEG) to track the information encoded in the brain (e.g. memory content) during performance of working memory and motor learning tasks. We first decoded the memory content and its selection process during a working memory task. Evidence is presented in favor of a role for the ventrolateral prefrontal cortex in the selection rather than the maintenance of working memory content. Our results show that the memory content was transformed from the initial visual encoding into a different and transiently reactivated memory representation in a posterior brain network. Second, we recorded MEG activity during a motor learning task. Behavioral analysis showed that a large proportion of early motor skill learning occur during small time windows of rest during the practice session. MVPA analyses show that during these rest periods, the brain replays at a faster rate the sequence of the events it just learned. The amount of replay predicted the magnitude of this form of rapid consolidation in early skill learning. Multivariate analyses applied to time-resolved MEG neural signal opens a unique window to study how mental representations are dynamically manipulated and transformed in the brain.
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