Intrinsic neuronal dynamics predict distinct functional roles during working memory

D. F. Wasmuht, E. Spaak, T. J. Buschman, E. K. Miller and M. G. Stokes ()
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D. F. Wasmuht: University of Oxford
E. Spaak: University of Oxford
T. J. Buschman: Princeton Neuroscience Institute and Department of Psychology
E. K. Miller: Massachusetts Institute of Technology
M. G. Stokes: University of Oxford

Nature Communications, 2018, vol. 9, issue 1, 1-13

Abstract: 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.

Date: 2018
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DOI: 10.1038/s41467-018-05961-4

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