Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network

Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network

This study presents a general trainable network of Hopf oscillators to model high-dimensional electroencephalogram (EEG) signals across different sleep stages. The proposed architecture consists of two main components: a layer of interconnected oscillators and a complex-valued feed-forward network d...

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Bibliographic Details
Main Authors: Sayan Ghosh, Dipayan Biswas, N. R. Rohan, Sujith Vijayan, V. Srinivasa Chakravarthy
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Neuroinformatics
Subjects:
EEG
Hopf oscillator
sleep stages modeling
large scale brain dynamics
biomedical signal analysis
Hopf oscillator model
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2025.1513374/full
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