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Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling Approach

2025-03-19

Abstract excerpt

Predictive coding frameworks suggest that neural computations rely on hierarchical error minimization, where sensory signals are evaluated against internal model predictions. However, the neural implementation of this inference process remains unclear. We propose that cross-frequency coupling (CFC) furnishes a fundamental mechanism for this form of inference. We first demonstrate that our previously described Lami...

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Literature Corpus work
10451474-39da-5bde-ad5a-629a6f16dc88
DOI
10.1101/2025.03.19.644090
Open publication

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Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling ApproachDOI 10.1101/2025.03.19.644090
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