Motion extrapolation: evidence for an internal representation of motion during transient absence of stimulus

M Aliakbari Khoei, G S Masson, L U Perrinet

Institute Neuroscience de la Timone, Aix-Marseille University - CNRS, France
Contact: mina.aliakbari-khoei@univ-amu.fr

During normal viewing, the continuous stream of visual input is regularly interrupted, for instance by blinks of the eye. Despite these frequents blanks, the visual system is able to maintain continuous representation of motion, for instance by maintaining the movement of the eye such as to stabilize the image of an object. This ability suggests the existence of a generic neural mechanism of motion extrapolation to deal with fragmented inputs. In this study, we have modeled how the visual system may extrapolate the trajectory of an object during a blank using motion-based prediction. This implies that using a prior on the coherency of motion, the system may integrate previous motion information even in the absence of stimulus. Unlike most of previous modeling studies, we have considered position of motion as an important piece of sensory information in synergy with velocity information. In that perspective, we have studied the role of prediction in position and velocity separately and together. We found that an internal representation of position and velocity of motion during absence of sensory input helps quick recovery of tracking after reappearance of stimulus. This recovery is slower and less accurate when prediction is only inferred in the velocity domain.

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