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Related Experiment Video

Updated: Jun 10, 2025

Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Large-scale interactions in predictive processing: oscillatory versus transient dynamics.

Martin Vinck¹, Cem Uran¹, Jarrod R Dowdall²

¹Ernst Strüngmann Institute (ESI) for Neuroscience, in Cooperation with the Max Planck Society, 60528 Frankfurt am Main, Germany; Donders Centre for Neuroscience, Department of Neurophysics, Radboud University, 6525 Nijmegen, The Netherlands.

Trends in Cognitive Sciences

|October 18, 2024

Summary

This summary is machine-generated.

Neural dynamics, including aperiodic transients and oscillations, play distinct roles in sensory inference. Oscillations may stabilize representations, while transients facilitate rapid inference, challenging classic predictive coding theories.

Keywords:

alpha beta classical hierarchical predictive coding dendritic hierarchical predictive coding dynamics efficient coding feedback feedforward gamma hierarchy oscillations plasticity predictive coding predictive processing rhythms synchronization

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Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Sensory inference relies on interactions between feedforward and feedback pathways.
Neural dynamics, specifically aperiodic transients and oscillations, are proposed to mediate these interactions.
Classic hierarchical predictive coding (HPC) offers a framework for understanding these processes.

Purpose of the Study:

To explore the distinct contributions of aperiodic transients and oscillations to sensory inference.
To evaluate the role of gamma and alpha/beta rhythms in classic HPC.
To propose alternative models for neural dynamics in predictive processing.

Main Methods:

Theoretical evaluation of existing models.
Formulation of alternative functional models for neural dynamics.
Discussion of biologically plausible alternatives to classic HPC.

Main Results:

Critique of the theory assigning specific rhythms (gamma, alpha/beta) to feedforward and feedback communication in HPC.
Proposal of a model where aperiodic transients support rapid inference, and oscillations stabilize representations and aid plasticity.
Explanation of oscillation dependence on predictability via dendritic HPC.

Conclusions:

Aperiodic transients and oscillations have differentiated roles in sensory inference and predictive processing.
Alternative models offer a more nuanced understanding of neural dynamics beyond classic HPC.
Dendritic HPC provides a potential explanation for the predictability dependence of oscillations.