How prediction errors shape perception, attention, and motivation
SourceFrontiers in Psychology, 3, (2012), article 548
Article / Letter to editor
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PI Group Motivational & Cognitive Control
SW OZ DCC AI
PI Group Predictive Brain
Frontiers in Psychology
Subject180 000 Predictive Brain; Cognitive artificial intelligence
Prediction errors (PE) are a central notion in theoretical models of reinforcement learning, perceptual inference, decision-making and cognition, and prediction error signals have been reported across a wide range of brain regions and experimental paradigms. Here, we will make an attempt to see the forest for the trees and consider the commonalities and differences of reported PE signals in light of recent suggestions that the computation of PE forms a fundamental mode of brain function. We discuss where different types of PE are encoded, how they are generated, and the different functional roles they fulfill. We suggest that while encoding of PE is a common computation across brain regions, the content and function of these error signals can be very different and are determined by the afferent and efferent connections within the neural circuitry in which they arise.
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