Literature DB >> 26924437

Multiplicative and Additive Modulation of Neuronal Tuning with Population Activity Affects Encoded Information.

Iñigo Arandia-Romero1, Seiji Tanabe2, Jan Drugowitsch3, Adam Kohn2, Rubén Moreno-Bote4.   

Abstract

Numerous studies have shown that neuronal responses are modulated by stimulus properties and also by the state of the local network. However, little is known about how activity fluctuations of neuronal populations modulate the sensory tuning of cells and affect their encoded information. We found that fluctuations in ongoing and stimulus-evoked population activity in primate visual cortex modulate the tuning of neurons in a multiplicative and additive manner. While distributed on a continuum, neurons with stronger multiplicative effects tended to have less additive modulation and vice versa. The information encoded by multiplicatively modulated neurons increased with greater population activity, while that of additively modulated neurons decreased. These effects offset each other so that population activity had little effect on total information. Our results thus suggest that intrinsic activity fluctuations may act as a "traffic light" that determines which subset of neurons is most informative.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26924437      PMCID: PMC5129626          DOI: 10.1016/j.neuron.2016.01.044

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


  39 in total

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Authors:  Adam Kohn; Matthew A Smith
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Authors:  Wei Ji Ma; Jeffrey M Beck; Peter E Latham; Alexandre Pouget
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5.  Reinforcement learning in populations of spiking neurons.

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6.  Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.

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Journal:  Neuron       Date:  2009-09-24       Impact factor: 17.173

Review 7.  Measuring and interpreting neuronal correlations.

Authors:  Marlene R Cohen; Adam Kohn
Journal:  Nat Neurosci       Date:  2011-06-27       Impact factor: 24.884

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9.  Spatial and temporal scales of neuronal correlation in primary visual cortex.

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Journal:  J Neurosci       Date:  2008-11-26       Impact factor: 6.167

10.  Reward expectation differentially modulates attentional behavior and activity in visual area V4.

Authors:  Jalal K Baruni; Brian Lau; C Daniel Salzman
Journal:  Nat Neurosci       Date:  2015-10-19       Impact factor: 24.884

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  29 in total

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3.  Frequency-separated principal component analysis of cortical population activity.

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Review 6.  Linking V1 Activity to Behavior.

Authors:  Eyal Seidemann; Wilson S Geisler
Journal:  Annu Rev Vis Sci       Date:  2018-07-05       Impact factor: 6.422

7.  Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models.

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Journal:  Neuron Behav Data Anal Theory       Date:  2019-04-27

8.  Assessing the Impacts of Correlated Variability with Dissociated Timescales.

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9.  The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior.

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Journal:  J Neurosci       Date:  2019-11-21       Impact factor: 6.167

10.  Segregation of Visual Response Properties in the Mouse Superior Colliculus and Their Modulation during Locomotion.

Authors:  Shinya Ito; David A Feldheim; Alan M Litke
Journal:  J Neurosci       Date:  2017-07-31       Impact factor: 6.167

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