Literature DB >> 12678580

Nulling the motion aftereffect with dynamic random-dot stimuli: limitations and implications.

Eric Castet1, David R T Keeble, Frans A J Verstraten.   

Abstract

We used biased random-dot dynamic test stimuli to measure the strength of the motion aftereffect (MAE) to evaluate the usefulness of this technique as a measure of motion adaptation strength. The stimuli consisted of noise dots whose individual directions were random and of signal dots moving in a unique direction. All dots moved at the same speed. For each condition, the nulling percentage (percentage of signal dots needed to perceptually null the MAE) was scaled with respect to the coherence threshold (percentage needed to perceive the coherent motion of signal dots without prior adaptation). The increase of these scaled values with the density of dots in the test stimulus suggests that MAE strength is underestimated when measured with low densities. We show that previous reports of high nulling percentages at slow speeds do not reflect strong MAEs, but are actually due to spatio-temporal aliasing, which dramatically increases coherence thresholds. We further show that MAE strength at slow speed increases with eccentricity. These findings are consistent with the idea that using this dynamic test stimulus preferentially reveals the adaptation of a population of high-speed motion units whose activity is independent of adapted low-speed motion units.

Mesh:

Year:  2002        PMID: 12678580     DOI: 10.1167/2.4.3

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  7 in total

Review 1.  A review of visual aftereffects in schizophrenia.

Authors:  Katharine N Thakkar; Steven M Silverstein; Jan W Brascamp
Journal:  Neurosci Biobehav Rev       Date:  2019-03-30       Impact factor: 8.989

2.  Transcranial alternating current stimulation attenuates visual motion adaptation.

Authors:  Kohitij Kar; Bart Krekelberg
Journal:  J Neurosci       Date:  2014-05-21       Impact factor: 6.167

3.  Perceptual learning reconfigures the effects of visual adaptation.

Authors:  David P McGovern; Neil W Roach; Ben S Webb
Journal:  J Neurosci       Date:  2012-09-26       Impact factor: 6.167

Review 4.  The motion aftereffect reloaded.

Authors:  George Mather; Andrea Pavan; Gianluca Campana; Clara Casco
Journal:  Trends Cogn Sci       Date:  2008-10-24       Impact factor: 20.229

5.  Eye-specific pattern-motion signals support the perception of three-dimensional motion.

Authors:  Sung Jun Joo; Devon A Greer; Lawrence K Cormack; Alexander C Huk
Journal:  J Vis       Date:  2019-04-01       Impact factor: 2.240

6.  Dynamics of contrast adaptation in central and peripheral vision.

Authors:  Yi Gao; Michael A Webster; Fang Jiang
Journal:  J Vis       Date:  2019-06-03       Impact factor: 2.240

7.  Habituation of visual adaptation.

Authors:  Xue Dong; Yi Gao; Lili Lv; Min Bao
Journal:  Sci Rep       Date:  2016-01-07       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.