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Related Experiment Video

Updated: Jun 15, 2026

Corticospinal Excitability Modulation During Action Observation

Corticospinal Excitability Modulation During Action Observation

Published on: December 31, 2013

Striatal prediction error modulates cortical coupling.

Hanneke E M den Ouden¹, Jean Daunizeau, Jonathan Roiser

¹Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom. h.denouden@donders.ru.nl

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|March 6, 2010

Summary

This summary is machine-generated.

Learned probabilities shape brain responses. This study shows how prediction errors in the striatum tune cortical networks, improving motor responses and providing evidence for learning theories.

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Learned probabilities influence perception and motor control.
Predictive coding theories emphasize the role of prediction errors in learning and behavior.

Purpose of the Study:

Investigate how learned predictions about visual stimuli affect motor responses.
Examine the neural mechanisms underlying prediction error-based learning and adaptation.

Main Methods:

Functional magnetic resonance imaging (fMRI) in healthy volunteers.
Computational modeling, including hierarchical Bayesian learning and nonlinear dynamic causal modeling.
Behavioral tasks involving discrimination of differentially predicted visual stimuli.

Main Results:

Behavioral performance (speed and accuracy) improved with stimulus predictability.
Striatal prediction errors were found to modulate functional coupling in cortical networks.
The degree of striatal prediction error activity influenced visuomotor connections and premotor activity.

Conclusions:

Striatal prediction errors play a key role in tuning cortical networks during learning.
Findings support learning theories that highlight prediction error-dependent plasticity.
Provides empirical evidence for the role of prediction errors in adaptive behavior and learning.