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  Attentional modulation of intrinsic timescales in visual cortex and spatial networks

Zeraati, R., Shi, Y.-L., Steinmetz, N., Gieselmann, M., Thiele, A., Moore, T., et al. (submitted). Attentional modulation of intrinsic timescales in visual cortex and spatial networks.

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 Creators:
Zeraati, R1, 2, Author              
Shi, Y-L, Author
Steinmetz, NA, Author
Gieselmann, MA, Author
Thiele, A, Author
Moore, T, Author
Levina, A1, 2, Author              
Engel, TA, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Neural activity fluctuates endogenously on timescales varying across the neocortex. The variation in these intrinsic timescales relates to the functional specialization of cortical areas and their involvement in the temporal integration of information. Yet, it is unknown whether the timescales can adjust rapidly and selectively to the demands of a cognitive task. We measured intrinsic timescales of local spiking activity within columns of area V4 while monkeys performed spatial attention tasks. The ongoing spiking activity unfolded across at least two distinct timescales—fast and slow—and the slow timescale increased when monkeys attended to the receptive fields location. A recurrent network model shows that multiple timescales in local dynamics arise from spatial connectivity mimicking vertical and horizontal interactions in visual cortex and that slow timescales increase with the efficacy of recurrent interactions. Our results reveal that targeted neural populations integrate information over variable timescales following the demands of a cognitive task and propose an underlying network mechanism.

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 Dates: 2021-05
 Publication Status: Submitted
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1101/2021.05.17.444537
 Degree: -

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