Modeling cognition through adaptive neural synchronization: a multimodal framework using EEG, fMRI, and reinforcement learning

This work provides a novel and testable approach to modeling thinking as a biologically constrained control problem and lays the groundwork for future applications in cognitive modeling and brain-computer interfaces.

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Publication Details

Journal
Frontiers in Computational Neuroscience
Published
2025-10-16
DOI
https://doi.org/10.3389/fncom.2025.1616472
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling cognition through adaptive neural synchronization: a multimodal framework using EEG, fMRI, and reinforcement learning

Roger A. Hall, Maryam Maleki, Horace T. Crogman, Maury Jackson
Frontiers in Computational Neuroscience
Neural dynamics and brain function
article

Modeling cognition through adaptive neural synchronization: a multimodal framework using EEG, fMRI, and reinforcement learning

Roger A. Hall, Maryam Maleki, Horace T. Crogman, Maury Jackson
article en

Abstract

This work provides a novel and testable approach to modeling thinking as a biologically constrained control problem and lays the groundwork for future applications in cognitive modeling and brain-computer interfaces.

Frontiers in Computational NeuroscienceVol. 19
La Sierra University (US), California State University, Dominguez Hills (US)
California State University, Dominguez Hills
Openalex Percentile: Top 71%
Neural dynamics and brain function
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