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Brain Oscillations and Predictive Processing

Juliana Yordanova, Vasil Kolev, R. Kirov

Front. Psychology October 17, 2012 DOI: 10.3389/fpsyg.2012.00416 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Commentary Peer reviewed
Measures Mismatch negativity (MMN), error-related negativity (ERN), feedback-related negativity (FRN)
Key points Argues that the target article's hierarchical generative model requires neurophysiologic evidence of separate neural mechanisms for top-down predictions and bottom-up prediction error. Proposes that mismatch negativity, error-related negativity, and feedback-related negativity serve as candidate markers of prediction-error comparison in the sensory, action/performance, and cognitive domains, respectively.

Abstract

The hierarchical generative model presented in the target article is based on theoretical and computational grounds. However, providing neurophysiologic evidence for the presence of distinct neural mechanisms mediating top-down predictions and bottom-up transmission of prediction error is critical for model validity. In human cognitive electrophysiology, several event-related potentials (ERPs) are related to the mechanisms of comparing incoming with expected events. These are the mismatch negativity (MMN), error-related negativity (ERN), and feedback-related negativity (FRN) operating basically in the sensory, action/performance, and cognitive domains, respectively.

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