Attention is more than prediction precision
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Updated: May 11, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Howard Bowman1, Marco Filetti, Brad Wyble
1Centre for Cognitive Neuroscience and Cognitive Systems, and School of Computing, University of Kent at Canterbury, Kent CT2 7NF, United Kingdom. H.Bowman@kent.ac.uk
Abstract:
A cornerstone of the target article is that, in a predictive coding framework, attention can be modelled by weighting prediction error with a measure of precision. We argue that this is not a complete explanation, especially in the light of ERP (event-related potentials) data showing large evoked responses for frequently presented target stimuli, which thus are predicted.
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