Literature DB >> 33857423

High-precision coding in visual cortex.

Carsen Stringer1, Michalis Michaelos1, Dmitri Tsyboulski1, Sarah E Lindo1, Marius Pachitariu2.   

Abstract

Individual neurons in visual cortex provide the brain with unreliable estimates of visual features. It is not known whether the single-neuron variability is correlated across large neural populations, thus impairing the global encoding of stimuli. We recorded simultaneously from up to 50,000 neurons in mouse primary visual cortex (V1) and in higher order visual areas and measured stimulus discrimination thresholds of 0.35° and 0.37°, respectively, in an orientation decoding task. These neural thresholds were almost 100 times smaller than the behavioral discrimination thresholds reported in mice. This discrepancy could not be explained by stimulus properties or arousal states. Furthermore, behavioral variability during a sensory discrimination task could not be explained by neural variability in V1. Instead, behavior-related neural activity arose dynamically across a network of non-sensory brain areas. These results imply that perceptual discrimination in mice is limited by downstream decoders, not by neural noise in sensory representations.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  information theory; large-scale neural recordings; population coding; visual cortex

Mesh:

Year:  2021        PMID: 33857423     DOI: 10.1016/j.cell.2021.03.042

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  16 in total

Review 1.  The structures and functions of correlations in neural population codes.

Authors:  Stefano Panzeri; Monica Moroni; Houman Safaai; Christopher D Harvey
Journal:  Nat Rev Neurosci       Date:  2022-06-22       Impact factor: 38.755

Review 2.  Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity.

Authors:  Mehrdad Jazayeri; Srdjan Ostojic
Journal:  Curr Opin Neurobiol       Date:  2021-09-17       Impact factor: 7.070

3.  Selective representations of texture and motion in mouse higher visual areas.

Authors:  Yiyi Yu; Jeffrey N Stirman; Christopher R Dorsett; Spencer L Smith
Journal:  Curr Biol       Date:  2022-05-23       Impact factor: 10.900

4.  Perceptual enhancement and suppression correlate with V1 neural activity during active sensing.

Authors:  James E Niemeyer; Seth Akers-Campbell; Aaron Gregoire; Michael A Paradiso
Journal:  Curr Biol       Date:  2022-05-17       Impact factor: 10.900

5.  Remote cortical perturbation dynamically changes the network solutions to given tactile inputs in neocortical neurons.

Authors:  Leila Etemadi; Jonas M D Enander; Henrik Jörntell
Journal:  iScience       Date:  2021-12-02

6.  Rational inattention in mice.

Authors:  Nikola Grujic; Jeroen Brus; Denis Burdakov; Rafael Polania
Journal:  Sci Adv       Date:  2022-03-04       Impact factor: 14.136

7.  Synaptic Dynamics Convey Differential Sensitivity to Input Pattern Changes in Two Muscles Innervated by the Same Motor Neurons.

Authors:  Nelly Daur; Farzan Nadim; Dirk Bucher
Journal:  eNeuro       Date:  2021-11-22

8.  Motor-related signals support localization invariance for stable visual perception.

Authors:  Andrea Benucci
Journal:  PLoS Comput Biol       Date:  2022-03-14       Impact factor: 4.475

9.  Silent microscopy to explore a brain that hears butterflies' wings.

Authors:  Shin-Ichiro Terada; Masanori Matsuzaki
Journal:  Light Sci Appl       Date:  2022-05-17       Impact factor: 17.782

10.  Long-term stability of cortical ensembles.

Authors:  Jesús Pérez-Ortega; Tzitzitlini Alejandre-García; Rafael Yuste
Journal:  Elife       Date:  2021-07-30       Impact factor: 8.140

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