Journal article

Bayesian Mapping Reveals That Attention Boosts Neural Responses to Predicted and Unpredicted Stimuli

Marta I Garrido, Elise G Rowe, Veronika Halasz, Jason B Mattingley

Cerebral Cortex | OXFORD UNIV PRESS INC | Published : 2018

Abstract

Predictive coding posits that the human brain continually monitors the environment for regularities and detects inconsistencies. It is unclear, however, what effect attention has on expectation processes, as there have been relatively few studies and the results of these have yielded contradictory findings. Here, we employed Bayesian model comparison to adjudicate between 2 alternative computational models. The "Opposition" model states that attention boosts neural responses equally to predicted and unpredicted stimuli, whereas the "Interaction" model assumes that attentional boosting of neural signals depends on the level of predictability. We designed a novel, audiospatial attention task t..

View full abstract

Grants

Awarded by Australian Research Council (ARC)


Awarded by University of Queensland Fellowship


Awarded by ARC Australian Laureate Fellowship


Awarded by ARC Centre of Excellence for Integrative Brain Function (ARC Centre)


Awarded by ARC Special Research Initiative-Science of Learning Research Centre


Funding Acknowledgements

Australian Research Council (ARC) Discovery Early Career Researcher Award (DE130101393) and a University of Queensland Fellowship (2016000071) to M.I.G., an ARC Australian Laureate Fellowship (FL110100103) to J.B.M., the ARC Centre of Excellence for Integrative Brain Function (ARC Centre Grant CE140100007) to M.I.G. and J.B.M., and an ARC Special Research Initiative-Science of Learning Research Centre (SR120300015) to J.B.M.