Edwards, G., Vetter, P., McGruer, F., Petro, L. S. and Muckli, L. (2017) Predictive feedback to V1 dynamically updates with sensory input. Scientific Reports, 7, 16538. (doi: 10.1038/s41598-017-16093-y) (PMID:29184060) (PMCID:PMC5705713)
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Abstract
Predictive coding theories propose that the brain creates internal models of the environment to predict upcoming sensory input. Hierarchical predictive coding models of vision postulate that higher visual areas generate predictions of sensory inputs and feed them back to early visual cortex. In V1, sensory inputs that do not match the predictions lead to amplified brain activation, but does this amplification process dynamically update to new retinotopic locations with eye-movements? We investigated the effect of eye-movements in predictive feedback using functional brain imaging and eye-tracking whilst presenting an apparent motion illusion. Apparent motion induces an internal model of motion, during which sensory predictions of the illusory motion feed back to V1. We observed attenuated BOLD responses to predicted stimuli at the new post-saccadic location in V1. Therefore, pre-saccadic predictions update their retinotopic location in time for post-saccadic input, validating dynamic predictive coding theories in V1.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Robb, Dr Fiona and Petro, Dr Lucy and Vetter, Dr Petra and Edwards, Miss Grace and Muckli, Professor Lars |
Authors: | Edwards, G., Vetter, P., McGruer, F., Petro, L. S., and Muckli, L. |
College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Journal Name: | Scientific Reports |
Publisher: | Nature Research |
ISSN: | 2045-2322 |
ISSN (Online): | 2045-2322 |
Copyright Holders: | Copyright © 2017 The Authors |
First Published: | First published in Scientific Reports 7:16538 |
Publisher Policy: | Reproduced under a Creative Commons License |
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