Literature DB >> 23023292

More is not always better: adaptive gain control explains dissociation between perception and action.

Claudio Simoncini1, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson.   

Abstract

Moving objects generate motion information at different scales, which are processed in the visual system with a bank of spatiotemporal frequency channels. It is not known how the brain pools this information to reconstruct object speed and whether this pooling is generic or adaptive; that is, dependent on the behavioral task. We used rich textured motion stimuli of varying bandwidths to decipher how the human visual motion system computes object speed in different behavioral contexts. We found that, although a simple visuomotor behavior such as short-latency ocular following responses takes advantage of the full distribution of motion signals, perceptual speed discrimination is impaired for stimuli with large bandwidths. Such opposite dependencies can be explained by an adaptive gain control mechanism in which the divisive normalization pool is adjusted to meet the different constraints of perception and action.

Entities:  

Mesh:

Year:  2012        PMID: 23023292     DOI: 10.1038/nn.3229

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  47 in total

1.  Mechanisms of visual motion detection.

Authors:  P R Schrater; D C Knill; E P Simoncelli
Journal:  Nat Neurosci       Date:  2000-01       Impact factor: 24.884

2.  Parallel motion processing for the initiation of short-latency ocular following in humans.

Authors:  Guillaume S Masson; Eric Castet
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

3.  Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception.

Authors:  Paula Sanz Leon; Ivo Vanzetta; Guillaume S Masson; Laurent U Perrinet
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

4.  Optimal representation of sensory information by neural populations.

Authors:  Mehrdad Jazayeri; J Anthony Movshon
Journal:  Nat Neurosci       Date:  2006-04-16       Impact factor: 24.884

5.  Dynamics of distributed 1D and 2D motion representations for short-latency ocular following.

Authors:  Frédéric V Barthélemy; Laurent U Perrinet; Eric Castet; Guillaume S Masson
Journal:  Vision Res       Date:  2008-01-25       Impact factor: 1.886

6.  Vision-for-perception and vision-for-action: which model is compatible with the available psychophysical and neuropsychological data?

Authors:  Thomas Schenk; Volker Franz; Nicola Bruno
Journal:  Vision Res       Date:  2011-02-15       Impact factor: 1.886

7.  Coding of image contrast in central visual pathways of the macaque monkey.

Authors:  G Sclar; J H Maunsell; P Lennie
Journal:  Vision Res       Date:  1990       Impact factor: 1.886

8.  Short-latency ocular following responses of monkey. I. Dependence on temporospatial properties of visual input.

Authors:  F A Miles; K Kawano; L M Optican
Journal:  J Neurophysiol       Date:  1986-11       Impact factor: 2.714

Review 9.  Normalization as a canonical neural computation.

Authors:  Matteo Carandini; David J Heeger
Journal:  Nat Rev Neurosci       Date:  2011-11-23       Impact factor: 34.870

10.  A normalization model of multisensory integration.

Authors:  Tomokazu Ohshiro; Dora E Angelaki; Gregory C DeAngelis
Journal:  Nat Neurosci       Date:  2011-05-08       Impact factor: 24.884

View more
  26 in total

1.  Binocular summation for reflexive eye movements.

Authors:  Christian Quaia; Lance M Optican; Bruce G Cumming
Journal:  J Vis       Date:  2018-04-01       Impact factor: 2.240

2.  Shared sensory estimates for human motion perception and pursuit eye movements.

Authors:  Trishna Mukherjee; Matthew Battifarano; Claudio Simoncini; Leslie C Osborne
Journal:  J Neurosci       Date:  2015-06-03       Impact factor: 6.167

3.  Perceptual learning modifies untrained pursuit eye movements.

Authors:  Sarit F A Szpiro; Miriam Spering; Marisa Carrasco
Journal:  J Vis       Date:  2014-07-07       Impact factor: 2.240

4.  Modularity in the motion system: independent oculomotor and perceptual processing of brief moving stimuli.

Authors:  Davis M Glasser; Duje Tadin
Journal:  J Vis       Date:  2014-03-24       Impact factor: 2.240

5.  Suppression and Contrast Normalization in Motion Processing.

Authors:  Christian Quaia; Lance M Optican; Bruce G Cumming
Journal:  J Neurosci       Date:  2017-10-10       Impact factor: 6.167

6.  Binocular Summation for Reflexive Eye Movements: A Potential Diagnostic Tool for Stereodeficiencies.

Authors:  Christian Quaia; Edmond J FitzGibbon; Lance M Optican; Bruce G Cumming
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-12-03       Impact factor: 4.799

7.  Context effects on smooth pursuit and manual interception of a disappearing target.

Authors:  Philipp Kreyenmeier; Jolande Fooken; Miriam Spering
Journal:  J Neurophysiol       Date:  2017-05-17       Impact factor: 2.714

Review 8.  Acting without seeing: eye movements reveal visual processing without awareness.

Authors:  Miriam Spering; Marisa Carrasco
Journal:  Trends Neurosci       Date:  2015-03-10       Impact factor: 13.837

9.  Motion Perception in the Common Marmoset.

Authors:  Shaun L Cloherty; Jacob L Yates; Dina Graf; Gregory C DeAngelis; Jude F Mitchell
Journal:  Cereb Cortex       Date:  2020-04-14       Impact factor: 5.357

10.  A Motion-from-Form Mechanism Contributes to Extracting Pattern Motion from Plaids.

Authors:  Christian Quaia; Lance M Optican; Bruce G Cumming
Journal:  J Neurosci       Date:  2016-04-06       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.