Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales

Cerebral Cortex
Michael OkunKenneth D Harris

Abstract

Cortical activity is organized across multiple spatial and temporal scales. Most research on the dynamics of neuronal spiking is concerned with timescales of 1 ms-1 s, and little is known about spiking dynamics on timescales of tens of seconds and minutes. Here, we used frequency domain analyses to study the structure of individual neurons' spiking activity and its coupling to local population rate and to arousal level across 0.01-100 Hz frequency range. In mouse medial prefrontal cortex, the spiking dynamics of individual neurons could be quantitatively captured by a combination of interspike interval and firing rate power spectrum distributions. The relative strength of coherence with local population often differed across timescales: a neuron strongly coupled to population rate on fast timescales could be weakly coupled on slow timescales, and vice versa. On slow but not fast timescales, a substantial proportion of neurons showed firing anticorrelated with the population. Infraslow firing rate changes were largely determined by arousal rather than by local factors, which could explain the timescale dependence of individual neurons' population coupling strength. These observations demonstrate how neurons simultaneously partak...Continue Reading

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Citations

Aug 21, 2020·Proceedings of the National Academy of Sciences of the United States of America·Ryan V RautMarcus E Raichle
Jan 12, 2021·The Journal of Physiology·Patrycja Orlowska-FeuerRiccardo Storchi
Feb 16, 2021·Frontiers in Psychiatry·Jennifer A Ross, Elisabeth J Van Bockstaele
Jul 16, 2021·PLoS Biology·Qingguang ZhangPatrick J Drew
Jul 23, 2021·Science Advances·Ryan V RautMarcus E Raichle
Jul 20, 2021·The European Journal of Neuroscience·Stephen WhitmarshCatherine Tallon-Baudry

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Software Mentioned

Klustaviewa
Kilosort
xcorr
Chronux toolbox
SpikeDetekt
Chronux
OpenEphys
MATLAB
KlustaKwik

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