Frontiers in Psychology | |
Comparing random dot motion in MATLAB vs. Inquisit Millisecond | |
article | |
Kimia C. Yaghoubi1  Sarah Kabbara1  Sara Arian1  Hadi Kobaissi1  Megan A. K. Peters2  Aaron R. Seitz1  | |
[1] Perception and Learning Laboratory, Department of Psychology, University of California;Cognitive and Neural Computation Laboratory, Department of Cognitive Sciences, University of California;Center for the Neurobiology of Learning and Memory, University of California | |
关键词: Motion Perception; random dot motion; direction estimation; intra-platform validity; inter-platform validity; COVID-19; | |
DOI : 10.3389/fpsyg.2022.1035518 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Frontiers | |
【 摘 要 】
Random Dot Motion (RDM) displays refer to clouds of independently moving dots that can be parametrically manipulated to provide a perception of the overall cloud moving coherently in a specified direction of motion. As a well-studied probe of motion perception, RDMs have been widely employed to understand underlying neural mechanisms of motion perception, perceptual decision-making, and perceptual learning, among other processes. Despite their wide use, RDM stimuli implementation is highly dependent on the parameters and the generation algorithm of the stimuli; both can greatly influence behavioral performance on RDM tasks. With the advent of the COVID pandemic and an increased need for more accessible platforms, we aimed to validate a novel RDM paradigm on Inquisit Millisecond, a platform for the online administration of cognitive and neuropsychological tests and assessments. We directly compared, in the same participants using the same display, a novel RDM paradigm on both Inquisit Millisecond and MATLAB with Psychtoolbox. We found that psychometric functions of Coherence largely match between Inquisit Millisecond and MATLAB, as do the effects of Duration. These data demonstrate that the Millisecond RDM provides data largely consistent with those previously found in laboratory-based systems, and the present findings can serve as a reference point for expected thresholds for when these procedures are used remotely on different platforms.
【 授权许可】
CC BY
【 预 览 】
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RO202307160004955ZK.pdf | 1111KB | download |