Motion, Not Masking, Provides the Medium for Feature Attribution

Author:

Breitmeyer Bruno G.12,Herzog Michael H.3,Öǧmen Haluk24

Affiliation:

1. Department of Psychology, University of Houston

2. Center for NeuroEngineering and Cognitive Science, University of Houston

3. École Polytechnique Fédérate de Lausanne (ÉPFL); and

4. Department of Electrical & Computer Engineering, University of Houston

Abstract

Understanding the dynamics of how separate features combine to form holistic object representations is a central problem in visual cognition. Feature attribution (also known as feature transposition and feature inheritance) refers to the later of two stimuli expressing the features belonging to the earlier one. Both visual masking and apparent motion are implicated in feature attribution. We found that when apparent motion occurs without masking, it correlates positively with feature attribution. Moreover, when apparent motion occurs with masking, feature attribution remains positively correlated with apparent motion after the contribution of masking is factored out, but does not correlate with masking after the contribution of apparent motion is similarly factored out. Hence, motion processes on their own provide the effective medium for feature attribution. Our results clarify the dynamics of feature binding in the formation of integral and unitary object representations in human vision.

Publisher

SAGE Publications

Subject

General Psychology

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. What have we learned from two decades of object-substitution masking? Time to update: Object individuation prevails over substitution.;Journal of Experimental Psychology: Human Perception and Performance;2017

2. Retinotopy of visual masking and non-retinotopic perception during masking;Attention, Perception, & Psychophysics;2015-03-14

3. Invisibility and interpretation;Frontiers in Psychology;2014-09-17

4. Backward position shift in apparent motion;Journal of Vision;2014-01-21

5. Visual Masking;Visual Masking;2014

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