Role of motion-based prediction in motion extrapolation

Role of motion-based prediction in motion extrapolation
Role of motion-based prediction in motion extrapolation. We show here the results of simulation of the motion-based prediction compared to velocity prediction (no position prediction). These models were tested for a dot moving in a straight trajectory but blanked (as given by the vertical bars) whether at the early stage (top panel) or in the late phase (bottom panel). This shows that compared to a control (condition with no blank), the system simply resumes the convergence to the veridical position at reappearance of the dot. In motion-based prediction, the systems catches up the trajectory and recovers more quickly to the response with no blank.

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All material (c) L. Perrinet. Please check the copyright notice.


This work was supported by the FACETS ITN project (EU funding, grant number 237955), a 'Marie-Curie Initial Training Network'.


TagYear13 TagMotion TagBrainScales TagBayes TagFacetsItn TagPublicationsArticles TagMotionParticles

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