2024
DOI: 10.1101/2024.05.24.595714
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Electroencephalogram (EEG) Classification using a bio-inspired Deep Oscillatory Neural Network

Sayan Ghosh,
C. Vigneswaran,
NR Rohan
et al.

Abstract: In this paper, we propose two models of oscillatory neural networks - the Deep Oscillatory Neural Network (DONN) and a convolutional variation of it named Oscillatory Convolutional Neural Network (OCNN) – and apply the models to a variety of problems involving the classification and prediction of Electroencephalogram (EEG) signals. Deep neural networks applied to signal processing problems will have to incorporate various architectural features to remember the history of the input signals e.g., loops between t… Show more

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