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Multivariate functional neuroimaging analyses reveal that strength-dependent face expectations are represented in
Helen Blank1, Arjen Alink2, Christian Büchel2
1Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany. h.blank@uke.de.
Communications Biology
|February 1, 2023
Summary
The human brain represents expectation strength in face-sensitive areas, not just sensory input. This finding supports predictive processing theories by showing how higher-level brain regions weigh prior expectations.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
Background:
- Perception integrates prior expectations with sensory input.
- The neural representation of expectation strength remains unclear.
- Prior precision may be encoded in higher-level sensory areas.
Purpose of the Study:
- To investigate how the human brain represents the strength of prior expectations.
- To determine if expectation strength is encoded with expected content in face-sensitive regions.
- To test hierarchical predictive processing theories.
Main Methods:
- Multivariate functional magnetic resonance imaging (fMRI) analyses.
- Participants associated scene images with faces of varying predicted probabilities (low, intermediate, high).
- Analysis of response pattern similarity in face-sensitive brain regions.
Main Results:
- Anticipation increased response pattern similarity in the anterior temporal lobe for expected faces.
- Unexpected faces elicited increased activity in prediction error networks (caudate, insula).
- Strength-dependent face expectations are represented in higher-level face-identity areas.
Conclusions:
- Higher-level sensory regions represent weighted priors, supporting hierarchical predictive processing.
- Expectation strength is neurally encoded within face-identity processing areas.
- Findings elucidate the neural mechanisms of active inference in perception.
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