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Decoding Prediction Errors in the Brain: A Laminar Neural Mass Model Approach
This post presents a new modeling study by our team and collaborators that uncovers the neural mechanisms behind prediction error evaluation and precision weighting in the brain. Using a biophysically grounded Laminar Neural Mass Model (LaNMM), the work offers a plausible implementation of predictive coding principles through cross-frequency coupling across cortical layers.
Sep 106 min read
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