Journal
NEURON
Volume 79, Issue 5, Pages 836-848Publisher
CELL PRESS
DOI: 10.1016/j.neuron.2013.08.020
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Funding
- NSF Graduate Research Fellowship [0645960]
- NSF CAREER award [095518]
- NIH [1R01 MH096914-01A1]
- Packard Foundation
- Division Of Behavioral and Cognitive Sci
- Direct For Social, Behav & Economic Scie [0955818] Funding Source: National Science Foundation
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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.
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