Attention promotes the neural encoding of prediction errors

PLoS Biology
Cooper A SmoutJason B Mattingley

Abstract

The encoding of sensory information in the human brain is thought to be optimised by two principal processes: 'prediction' uses stored information to guide the interpretation of forthcoming sensory events, and 'attention' prioritizes these events according to their behavioural relevance. Despite the ubiquitous contributions of attention and prediction to various aspects of perception and cognition, it remains unknown how they interact to modulate information processing in the brain. A recent extension of predictive coding theory suggests that attention optimises the expected precision of predictions by modulating the synaptic gain of prediction error units. Because prediction errors code for the difference between predictions and sensory signals, this model would suggest that attention increases the selectivity for mismatch information in the neural response to a surprising stimulus. Alternative predictive coding models propose that attention increases the activity of prediction (or 'representation') neurons and would therefore suggest that attention and prediction synergistically modulate selectivity for 'feature information' in the brain. Here, we applied forward encoding models to neural activity recorded via electroencephal...Continue Reading

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Citations

Jan 18, 2020·Annals of the New York Academy of Sciences·Dirk van Moorselaar, Heleen A Slagter
Jul 11, 2019·PLoS Biology·Cooper A SmoutJason B Mattingley
Oct 23, 2019·Frontiers in Psychology·D Eric Chamberlin
Jul 23, 2020·Cell Reports·Ehsan KheradpezhouhEhsan Arabzadeh
Mar 24, 2021·Psychological Research·Deborah J Serrien, Michiel M Spapé

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