Intrinsic neuronal dynamics predict distinct functional roles during working memory
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Author(s)
Wasmuht, D. F.
Spaak, E.
Stokes, M. G.
Buschman, Timothy J
Miller, Earl K
Date Issued
August 2018
Journal
Nature Communications
Publisher
Nature Publishing Group
Citation
Wasmuht, D. F., E. Spaak, T. J. Buschman, E. K. Miller, and M. G. Stokes. “Intrinsic Neuronal Dynamics Predict Distinct Functional Roles During Working Memory.” Nature Communications 9, no. 1 (August 29, 2018).
Version
Final published version
Abstract
Working memory (WM) is characterized by the ability to maintain stable representations over time; however, neural activity associated with WM maintenance can be highly dynamic. We explore whether complex population coding dynamics during WM relate to the intrinsic temporal properties of single neurons in lateral prefrontal cortex (lPFC), the frontal eye fields (FEF), and lateral intraparietal cortex (LIP) of two monkeys (Macaca mulatta). We find that cells with short timescales carry memory information relatively early during memory encoding in lPFC; whereas long-timescale cells play a greater role later during processing, dominating coding in the delay period. We also observe a link between functional connectivity at rest and the intrinsic timescale in FEF and LIP. Our results indicate that individual differences in the temporal processing capacity predict complex neuronal dynamics during WM, ranging from rapid dynamic encoding of stimuli to slower, but stable, maintenance of mnemonic information.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Media Laboratory
McGovern Institute for Brain Research at MIT
Picower Institute for Learning and Memory
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/s41467-018-05961-4
