Literature DB >> 35589841

Emergent reliability in sensory cortical coding and inter-area communication.

Sadegh Ebrahimi1,2,3,4, Jérôme Lecoq5,6,7,8, Oleg Rumyantsev5,6,9, Tugce Tasci5,6,10, Yanping Zhang5,6,11, Cristina Irimia5,6,7, Jane Li5,7, Surya Ganguli5,9, Mark J Schnitzer12,13,14,15,16.   

Abstract

Reliable sensory discrimination must arise from high-fidelity neural representations and communication between brain areas. However, how neocortical sensory processing overcomes the substantial variability of neuronal sensory responses remains undetermined1-6. Here we imaged neuronal activity in eight neocortical areas concurrently and over five days in mice performing a visual discrimination task, yielding longitudinal recordings of more than 21,000 neurons. Analyses revealed a sequence of events across the neocortex starting from a resting state, to early stages of perception, and through the formation of a task response. At rest, the neocortex had one pattern of functional connections, identified through sets of areas that shared activity cofluctuations7,8. Within about 200 ms after the onset of the sensory stimulus, such connections rearranged, with different areas sharing cofluctuations and task-related information. During this short-lived state (approximately 300 ms duration), both inter-area sensory data transmission and the redundancy of sensory encoding peaked, reflecting a transient increase in correlated fluctuations among task-related neurons. By around 0.5 s after stimulus onset, the visual representation reached a more stable form, the structure of which was robust to the prominent, day-to-day variations in the responses of individual cells. About 1 s into stimulus presentation, a global fluctuation mode conveyed the upcoming response of the mouse to every area examined and was orthogonal to modes carrying sensory data. Overall, the neocortex supports sensory performance through brief elevations in sensory coding redundancy near the start of perception, neural population codes that are robust to cellular variability, and widespread inter-area fluctuation modes that transmit sensory data and task responses in non-interfering channels.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35589841     DOI: 10.1038/s41586-022-04724-y

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  60 in total

Review 1.  Neuronal variability: noise or part of the signal?

Authors:  Richard B Stein; E Roderich Gossen; Kelvin E Jones
Journal:  Nat Rev Neurosci       Date:  2005-05       Impact factor: 34.870

2.  Resting-state functional connectivity reflects structural connectivity in the default mode network.

Authors:  Michael D Greicius; Kaustubh Supekar; Vinod Menon; Robert F Dougherty
Journal:  Cereb Cortex       Date:  2008-04-09       Impact factor: 5.357

Review 3.  Steady or changing? Long-term monitoring of neuronal population activity.

Authors:  Henry Lütcke; David J Margolis; Fritjof Helmchen
Journal:  Trends Neurosci       Date:  2013-04-19       Impact factor: 13.837

4.  Population-Level Neural Codes Are Robust to Single-Neuron Variability from a Multidimensional Coding Perspective.

Authors:  Jorrit S Montijn; Guido T Meijer; Carien S Lansink; Cyriel M A Pennartz
Journal:  Cell Rep       Date:  2016-08-18       Impact factor: 9.423

5.  Fundamental bounds on the fidelity of sensory cortical coding.

Authors:  Oleg I Rumyantsev; Jérôme A Lecoq; Oscar Hernandez; Yanping Zhang; Joan Savall; Radosław Chrapkiewicz; Jane Li; Hongkui Zeng; Surya Ganguli; Mark J Schnitzer
Journal:  Nature       Date:  2020-03-18       Impact factor: 49.962

6.  Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex.

Authors:  Laura N Driscoll; Noah L Pettit; Matthias Minderer; Selmaan N Chettih; Christopher D Harvey
Journal:  Cell       Date:  2017-08-17       Impact factor: 41.582

7.  Correlated neuronal discharge rate and its implications for psychophysical performance.

Authors:  E Zohary; M N Shadlen; W T Newsome
Journal:  Nature       Date:  1994-07-14       Impact factor: 49.962

8.  Cortical Areas Interact through a Communication Subspace.

Authors:  João D Semedo; Amin Zandvakili; Christian K Machens; Byron M Yu; Adam Kohn
Journal:  Neuron       Date:  2019-02-12       Impact factor: 17.173

Review 9.  Noise in the nervous system.

Authors:  A Aldo Faisal; Luc P J Selen; Daniel M Wolpert
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

10.  A neuromarker of sustained attention from whole-brain functional connectivity.

Authors:  Monica D Rosenberg; Emily S Finn; Dustin Scheinost; Xenophon Papademetris; Xilin Shen; R Todd Constable; Marvin M Chun
Journal:  Nat Neurosci       Date:  2015-11-23       Impact factor: 24.884

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  1 in total

Review 1.  Angular gyrus: an anatomical case study for association cortex.

Authors:  Kathleen S Rockland
Journal:  Brain Struct Funct       Date:  2022-07-29       Impact factor: 3.748

  1 in total

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