Attention is more than prediction precision

Howard Bowman, Marco Filetti, Brad Wyble, Christian Olivers

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)206-8
Number of pages3
JournalBehavioral and Brain Sciences
Volume36
Issue number3
DOIs
Publication statusPublished - Jun 2013

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