What is it about?
The mammalian visual cortex exhibits significant neuronal activation in response to signals associated with self-generated movements. This study investigates the computational significance of such signals for visual perception, demonstrating that they may act to stabilize perception during eye movements.
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Why is it important?
Why are signals related to self-generated movements activating neurons in visual cortical areas? Utilizing CNNs as simplified mechanistic models of the "hybridized" ventral and dorsal visual streams, we showed these models can use movement signals, co-propagating with visual inputs, to robustly recognize objects--a key feature in visual stability, together with the suppression of motion perception (not examined here and to be addressed in future work with dynamical models).
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This page is a summary of: Motor-related signals support localization invariance for stable visual perception, PLoS Computational Biology, March 2022, PLOS, DOI: 10.1371/journal.pcbi.1009928.
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