Literature DB >> 15483122

A population decoding framework for motion aftereffects on smooth pursuit eye movements.

Justin L Gardner1, Stefanie N Tokiyama, Stephen G Lisberger.   

Abstract

Both perceptual and motor systems must decode visual information from the distributed activity of large populations of cortical neurons. We have sought a common framework for understanding decoding strategies for visually guided movement and perception by asking whether the strong motion aftereffects seen in the perceptual domain lead to similar expressions in motor output. We found that motion adaptation indeed has strong sequelae in the direction and speed of smooth pursuit eye movements. After adaptation with a stimulus that moves in a given direction for 7 sec, the direction of pursuit is repelled from the direction of pursuit targets that move within 90 degrees of the adapting direction. The speed of pursuit decreases for targets that move at the direction and speed of the adapting stimulus and is repelled from the adapting speed in the sense that the decrease either becomes greater or smaller (eventually turning to an increase) when tracking targets move slower or faster than the adapting speed. The effects of adaptation are spatially specific and fixed to the retinal location of the adapting stimulus. The magnitude of adaptation of pursuit speed and direction is uncorrelated, suggesting that the two parameters are decoded independently. Computer simulation of motion adaptation in the middle temporal visual area (MT) shows that vector-averaging decoding of the population response in MT can account for the effects of adaptation on the direction of pursuit. Our results suggest a unified framework for thinking, in terms of population decoding, about motion adaptation for both perception and action.

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Year:  2004        PMID: 15483122      PMCID: PMC2551318          DOI: 10.1523/JNEUROSCI.0337-04.2004

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  55 in total

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Authors:  S G Lisberger
Journal:  J Neurophysiol       Date:  1998-04       Impact factor: 2.714

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Journal:  Nature       Date:  1988-03-24       Impact factor: 49.962

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Journal:  Vision Res       Date:  1994-05       Impact factor: 1.886

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Authors:  T D Albright
Journal:  J Neurophysiol       Date:  1984-12       Impact factor: 2.714

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Authors:  P Hammond; G S Mouat; A T Smith
Journal:  Exp Brain Res       Date:  1985       Impact factor: 1.972

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Authors:  A T Smith
Journal:  Vision Res       Date:  1985       Impact factor: 1.886

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Journal:  Vision Res       Date:  1985       Impact factor: 1.886

9.  The movement aftereffect and a distribution-shift model for coding the direction of visual movement.

Authors:  G Mather
Journal:  Perception       Date:  1980       Impact factor: 1.490

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Authors:  R von der Heydt; P Hänny; C Adorjani
Journal:  Arch Ital Biol       Date:  1978-09       Impact factor: 1.000

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  11 in total

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Authors:  Masakatsu Taki; Kenichiro Miura; Hiromitsu Tabata; Yasuo Hisa; Kenji Kawano
Journal:  Exp Brain Res       Date:  2006-06-09       Impact factor: 1.972

2.  Relationship between adapted neural population responses in MT and motion adaptation in speed and direction of smooth-pursuit eye movements.

Authors:  Jin Yang; Stephen G Lisberger
Journal:  J Neurophysiol       Date:  2009-02-18       Impact factor: 2.714

3.  The effects of prolonged viewing of motion on short-latency ocular following responses.

Authors:  Masakatsu Taki; Kenichiro Miura; Hiromitsu Tabata; Yasuo Hisa; Kenji Kawano
Journal:  Exp Brain Res       Date:  2009-03-24       Impact factor: 1.972

4.  Different time scales of motion integration for anticipatory smooth pursuit and perceptual adaptation.

Authors:  Gerrit W Maus; Elena Potapchuk; Scott N J Watamaniuk; Stephen J Heinen
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Review 5.  Re-examining selective adaptation: Fatiguing feature detectors, or distributional learning?

Authors:  Dave F Kleinschmidt; T Florian Jaeger
Journal:  Psychon Bull Rev       Date:  2016-06

6.  Dynamics of population response to changes of motion direction in primary visual cortex.

Authors:  Wei Wu; Paul H Tiesinga; Thomas R Tucker; Stephen R Mitroff; David Fitzpatrick
Journal:  J Neurosci       Date:  2011-09-07       Impact factor: 6.167

7.  Decoding of MSTd population activity accounts for variations in the precision of heading perception.

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8.  Storage of an oculomotor motion aftereffect.

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Journal:  Vision Res       Date:  2007-01-18       Impact factor: 1.886

9.  Visual motion aftereffects arise from a cascade of two isomorphic adaptation mechanisms.

Authors:  Alan A Stocker; Eero P Simoncelli
Journal:  J Vis       Date:  2009-08-24       Impact factor: 2.240

10.  Adaptation maintains population homeostasis in primary visual cortex.

Authors:  Andrea Benucci; Aman B Saleem; Matteo Carandini
Journal:  Nat Neurosci       Date:  2013-04-21       Impact factor: 24.884

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