Literature DB >> 17928442

Recent history of stimulus speeds affects the speed tuning of neurons in area MT.

Anja Schlack1, Bart Krekelberg, Thomas D Albright.   

Abstract

Visual motion processing plays a key role in enabling primates' successful interaction with their dynamic environments. Although in natural environments the speed of visual stimuli continuously varies, speed tuning of neurons in the prototypical motion area MT has traditionally been assessed with stimuli that moved at constant speeds. We investigated whether the representation of speed in a continuously varying stimulus context differs from the representation of constant speeds. We recorded from individual MT neurons of fixating macaques while stimuli moved either at a constant speed or in a linearly accelerating or decelerating manner. We found clear speed tuning even when the stimulus consisted of visual motion with gradual speed changes. There were, however, important differences with the speed tuning as measured with constant stimuli: the stimulus context affected neuronal preferred speed as well as the associated tuning width of the speed tuning curves. These acceleration-dependent changes in response lead to an accurate representation of the acceleration of these stimuli in the MT cells. To elucidate the mechanistic basis of this signal, we constructed a stochastic firing rate model based on the constant speed response profiles. This model incorporated each cell's speed tuning and response adaptation dynamics and accurately predicted the response to constant speeds as well as accelerating and decelerating stimuli. Because the response of the model neurons had no explicit acceleration dependence, we conclude that speed-dependent adaptation creates a strong influence of temporal context on the MT response and thereby results in the representation of acceleration signals.

Mesh:

Year:  2007        PMID: 17928442      PMCID: PMC6672851          DOI: 10.1523/JNEUROSCI.3165-07.2007

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


  28 in total

1.  Optimal visual-vestibular integration under conditions of conflicting intersensory motion profiles.

Authors:  John S Butler; Jennifer L Campos; Heinrich H Bülthoff
Journal:  Exp Brain Res       Date:  2014-11-02       Impact factor: 1.972

2.  Aging affects the neural representation of speed in Macaque area MT.

Authors:  Yun Yang; Jie Zhang; Zhen Liang; Guangxing Li; Yongchang Wang; Yuanye Ma; Yifeng Zhou; Audie G Leventhal
Journal:  Cereb Cortex       Date:  2008-11-26       Impact factor: 5.357

3.  Adaptive estimation of three-dimensional structure in the human brain.

Authors:  Tim J Preston; Zoe Kourtzi; Andrew E Welchman
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

4.  Similar adaptation effects in primary visual cortex and area MT of the macaque monkey under matched stimulus conditions.

Authors:  Carlyn A Patterson; Jacob Duijnhouwer; Stephanie C Wissig; Bart Krekelberg; Adam Kohn
Journal:  J Neurophysiol       Date:  2013-12-26       Impact factor: 2.714

5.  Neural mechanisms of speed perception: transparent motion.

Authors:  Bart Krekelberg; Richard J A van Wezel
Journal:  J Neurophysiol       Date:  2013-08-07       Impact factor: 2.714

6.  Neural representation of motion-in-depth in area MT.

Authors:  Takahisa M Sanada; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2014-11-19       Impact factor: 6.167

7.  Heading perception depends on time-varying evolution of optic flow.

Authors:  Charlie S Burlingham; David J Heeger
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-16       Impact factor: 11.205

8.  Transcranial Alternating Current Stimulation Attenuates Neuronal Adaptation.

Authors:  Kohitij Kar; Jacob Duijnhouwer; Bart Krekelberg
Journal:  J Neurosci       Date:  2017-01-30       Impact factor: 6.167

9.  Aperture extent and stimulus speed affect the perception of visual acceleration.

Authors:  Alexandra S Mueller; Esther G González; Chris McNorgan; Martin J Steinbach; Brian Timney
Journal:  Exp Brain Res       Date:  2016-11-19       Impact factor: 1.972

10.  Incorporating prediction in models for two-dimensional smooth pursuit.

Authors:  John F Soechting; Hrishikesh M Rao; John Z Juveli
Journal:  PLoS One       Date:  2010-09-03       Impact factor: 3.240

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