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Trial-by-trial variability in cortical responses exhibits scaling in spatial correlations predicted from critical dynamics

Tiago L. Ribeiro, Shan Yu, Daniel A. Martin, Daniel Winkowski, View ORCID ProfilePatrick Kanold, Dante R. Chialvo, View ORCID ProfileDietmar Plenz
doi: https://doi.org/10.1101/2020.07.01.182014
Tiago L. Ribeiro
1Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
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Shan Yu
1Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
2Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
3CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China
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Daniel A. Martin
4Center for Complex Systems & Brain Sciences (CEMSC3), Instituto de Ciencias Físicas, (ICIFI) Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín (UNSAM), San Martín, (1650) Buenos Aires, Argentina
5Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, Buenos Aires, Argentina
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Daniel Winkowski
6Department of Biology, University of Maryland, College Park, MD 20742, USA
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Patrick Kanold
6Department of Biology, University of Maryland, College Park, MD 20742, USA
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Dante R. Chialvo
4Center for Complex Systems & Brain Sciences (CEMSC3), Instituto de Ciencias Físicas, (ICIFI) Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín (UNSAM), San Martín, (1650) Buenos Aires, Argentina
5Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, Buenos Aires, Argentina
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Dietmar Plenz
1Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
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  • For correspondence: plenzd@mail.nih.gov
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Abstract

Simple sensory stimuli or motor outputs engage large populations of neurons in the mammalian cortex. When stimuli or outputs repeat, the robust population response contrasts with fluctuating responses of individual neurons, known as trial-by-trial variability. To understand this apparent discrepancy, a detailed identification of the underlying spatiotemporal correlations is required. Here, we analyze spatial correlations in the instantaneous fluctuations between neurons relative to the neuronal population. Using 2-photon imaging of visual and auditory responses in primary cortices of awake mice, we show that these correlations grow linearly with the size of the observed cortical area. We extend these observations to the cortical mesoscale by analyzing local field potentials in behaving nonhuman primates. In network simulations, we demonstrate this linear growth in spatial correlation to emerge at criticality. Our findings suggest that trial-by-trial variability is a signature of critical dynamics in cortex maintaining robust, long-range spatial correlations among neurons.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 02, 2020.
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Trial-by-trial variability in cortical responses exhibits scaling in spatial correlations predicted from critical dynamics
Tiago L. Ribeiro, Shan Yu, Daniel A. Martin, Daniel Winkowski, Patrick Kanold, Dante R. Chialvo, Dietmar Plenz
bioRxiv 2020.07.01.182014; doi: https://doi.org/10.1101/2020.07.01.182014
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Trial-by-trial variability in cortical responses exhibits scaling in spatial correlations predicted from critical dynamics
Tiago L. Ribeiro, Shan Yu, Daniel A. Martin, Daniel Winkowski, Patrick Kanold, Dante R. Chialvo, Dietmar Plenz
bioRxiv 2020.07.01.182014; doi: https://doi.org/10.1101/2020.07.01.182014

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