Author

Sayan Ghosh

Indian Institute of Technology MadrasORCID 0000-0002-7325-4349Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:electrophysiology· 2 Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

V. Srinivasa ChakravarthyiD· 2 shared Dipayan Biswas· 1 shared Sapna Raja· 1 shared Sujith VijayaniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioengineering

V. Srinivasa ChakravarthyORCID

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3 papers

Recent·Most cited

Classifier-guided Deep Oscillatory Neural Networks (cDONN) for capturing both Neural Dynamics and Behavior simultaneously

Sayan Ghosh, Sapna Raja, V. Srinivasa Chakravarthy

This paper introduces cDONN, a neural network that generates EEG signals and classifies behavior simultaneously, showing high fidelity in synthesized EEG data.

Biomedical Signal Processing and Control · Aug 4, 2026Peer-reviewedBioengineering

Deep Coupled Kuramoto Oscillatory Neural Network (DcKONN): A Biologically Inspired Deep Neural Model for EEG Signal Analysis

This paper introduces DcKONN, a deep neural network inspired by biological oscillatory dynamics, and shows it achieves competitive classification accuracy on EEG signals.

bioRxiv · Sep 26, 2025 · PreprintBioengineering

Modeling of whole brain Electroencephalogram (EEG) in a spatially organized oscillatory network

Sayan Ghosh, Dipayan Biswas, Sujith Vijayan, V. Srinivasa Chakravarthy

This study models EEG signals using a Hopf oscillator network with spatial organization, achieving accurate signal reconstruction and spectral properties.

bioRxiv · Jul 16, 2023 · PreprintNeuroscience