Theory of Mind: A Neural Prediction Problem

TitleTheory of Mind: A Neural Prediction Problem
Publication TypeJournal Article
Year of Publication2013
AuthorsKoster-Hale, J., & Saxe R.
JournalNeuron
Volume79
Issue5
Pagination836 - 848
Date Published09/2013
ISSN08966273
Abstract

Predictive coding posits that neural systems make forward-looking predictions about incoming information. Neural signals contain information not about the currently perceived stimulus, but about the difference between the observed and the predicted stimulus. We propose to extend the predictive coding framework from high-level sensory processing to the more abstract domain of theory of mind; that is, to inferences about others’ goals, thoughts, and personalities. We review evidence that, across brain regions, neural responses to depictions of human behavior, from biological motion to trait descriptions, exhibit a key signature of predictive coding: reduced activity to predictable stimuli. We discuss how future experiments could distinguish predictive coding from alternative explanations of this response profile. This framework may provide an important new window on the neural computations underlying theory of mind.

URLhttps://linkinghub.elsevier.com/retrieve/pii/S089662731300754X
DOI10.1016/j.neuron.2013.08.020
Short TitleNeuron

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