Literature DB >> 27427459

Bottom-Up and Top-Down Input Augment the Variability of Cortical Neurons.

Camille Gómez-Laberge1,2, Alexandra Smolyanskaya1, Jonathan J Nassi1, Gabriel Kreiman2, Richard T Born1,3.   

Abstract

Neurons in the cerebral cortex respond inconsistently to a repeated sensory stimulus, yet they underlie our stable sensory experiences. Although the nature of this variability is unknown, its ubiquity has encouraged the general view that each cell produces random spike patterns that noisily represent its response rate. In contrast, here we show that reversibly inactivating distant sources of either bottom-up or top-down input to cortical visual areas in the alert primate reduces both the spike train irregularity and the trial-to-trial variability of single neurons. A simple model in which a fraction of the pre-synaptic input is silenced can reproduce this reduction in variability, provided that there exist temporal correlations primarily within, but not between, excitatory and inhibitory input pools. A large component of the variability of cortical neurons may therefore arise from synchronous input produced by signals arriving from multiple sources.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27427459      PMCID: PMC5149417          DOI: 10.1016/j.neuron.2016.06.028

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  35 in total

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3.  Measurement of variability dynamics in cortical spike trains.

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Review 4.  Refractoriness and neural precision.

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Authors:  Alexandra Smolyanskaya; Ralf M Haefner; Stephen G Lomber; Richard T Born
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9.  A weighted and directed interareal connectivity matrix for macaque cerebral cortex.

Authors:  N T Markov; M M Ercsey-Ravasz; A R Ribeiro Gomes; C Lamy; L Magrou; J Vezoli; P Misery; A Falchier; R Quilodran; M A Gariel; J Sallet; R Gamanut; C Huissoud; S Clavagnier; P Giroud; D Sappey-Marinier; P Barone; C Dehay; Z Toroczkai; K Knoblauch; D C Van Essen; H Kennedy
Journal:  Cereb Cortex       Date:  2012-09-25       Impact factor: 5.357

10.  Corticocortical feedback increases the spatial extent of normalization.

Authors:  Jonathan J Nassi; Camille Gómez-Laberge; Gabriel Kreiman; Richard T Born
Journal:  Front Syst Neurosci       Date:  2014-05-30
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Review 3.  Large-scale neural recordings call for new insights to link brain and behavior.

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4.  Disruption of cortical network activity by the general anaesthetic isoflurane.

Authors:  H Hentschke; A Raz; B M Krause; C A Murphy; M I Banks
Journal:  Br J Anaesth       Date:  2017-10-01       Impact factor: 9.166

Review 5.  Illusions, Delusions, and Your Backwards Bayesian Brain: A Biased Visual Perspective.

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6.  Coupled variability in primary sensory areas and the hippocampus during spontaneous activity.

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7.  Axon Collaterals and Brain States.

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8.  Binocular visual experience drives the maturation of response variability and reliability in the visual cortex.

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9.  Stimulus presentation can enhance spiking irregularity across subcortical and cortical regions.

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Journal:  PLoS Comput Biol       Date:  2022-07-05       Impact factor: 4.779

10.  Impact of functional synapse clusters on neuronal response selectivity.

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Journal:  Nat Commun       Date:  2020-03-16       Impact factor: 14.919

  10 in total

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