Journal article
Timing in predictive coding: The roles of task relevance and global probability
CS Sherwell, MI Garrido, R Cunnington
Journal of Cognitive Neuroscience | MIT PRESS | Published : 2017
DOI: 10.1162/jocn_a_01085
Abstract
Predictive coding models of attention propose that attention and prediction operate synergistically to optimize perception, as reflected in interactive effects on early sensory neural responses. It is yet unclear whether attention and prediction based on the temporal attributes of expected events operate in a similar fashion. We investigated how attention and prediction based on timing interact by manipulating the task relevance and a priori probability of auditory stimulus onset timing within a go/no-go task while recording EEG. Preparatory activity, as indexed via the contingent negative variation, reflected temporally specific anticipation as a function of both attention and prediction. H..
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Awarded by Australian Research Council
Funding Acknowledgements
CSS and RC received funding of the ARC Science of Learning Research Centre. MIG acknowledges an Australian Research Council (ARC) Discovery Early Carrer Researcher Award (DE130101393) and a University of Queensland Fellowship (2016000071).