Theory of mind: a neural prediction problem.

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.

journal_name

Neuron

journal_title

Neuron

authors

Koster-Hale J,Saxe R

doi

10.1016/j.neuron.2013.08.020

subject

Has Abstract

pub_date

2013-09-04 00:00:00

pages

836-48

issue

5

eissn

0896-6273

issn

1097-4199

pii

S0896-6273(13)00754-X

journal_volume

79

pub_type

杂志文章,评审

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