Journal Publications

• Ghosh, S., Chandrasekaran, V., Rohan, N. R., & Chakravarthy, V. S. (2025). Electroencephalogram (EEG) classification using a bio-inspired deep oscillatory neural network. Biomedical Signal Processing and Control, 103, 107379.
• Ghosh, S., Biswas, D., Rohan, N. R., Vijayan, S., & Chakravarthy, V. S. Modeling of Whole Brain Sleep Electroencephalogram (EEG) using Deep Oscillatory Neural Network. Frontiers in Neuroinformatics, 19, 1513374
• Bandyopadhyay, A., Ghosh, S., Biswas, D., Chakravarthy, V. S., & Bapi, R. S. (2023). A phenomenological model of whole brain dynamics using a network of neural oscillators with power-coupling. Scientific Reports, 13(1), 16935.
• Rohan, N. R., Vigneswaran, C., Ghosh, S., Rajendran, K., & Chakravarthy, V. S. (2024). Deep Oscillatory Neural Network. arXiv preprint arXiv:2405.03725.
• Ghosh, S., Chakravarthy, S., & Raja, S. (2025). Classifier-guided Deep Oscillatory Neural Networks (cDONN) for capturing both Neural Dynamics and Behavior simultaneously. bioRxiv, 2025-06
• Induja M C, Suganthi L , Geethanjali B, Sayan Ghosh, Shivam Rajaram Chaudhari, V.Srinivasa Chakravarthy, Decoding Visual Perception: EEG Classification And Image Recognition Using Deep Learning (Submitted to Pattern Recognition Letters)

Conference Proceedings

• Ghosh, S., Reddy, T. S. K., & Chakravarthy, V. S. Visualizing Visual Thought using Deep Oscillatory Neural Network, ICONIP 2024.
• Bandyopadhyay, A., Ghosh, S., Biswas, D., Surampudi, R. B., & Chakravarthy, V. S. (2022). A phenomenological deep oscillatory neural network model to capture whole brain dynamics in terms of BOLD signals. International Conference on Neural Information Processing, 160-171, Springer.
• Ghosh, S., Banerjee, A., Bakshi, K., Kumar, C. S., & Tibarewala, D. N. (2018). Key screw and Cylindrical grasp motion classification from the same hand. IEEE IEMENTech 2018.
• Sayan Ghosh, Abdul Rahman, and V Srinivasa Chakravarthy, Visualizing Visual Perception Using Deep Convolutional Neural Network. (submitted to IHCI 2025)

Posters presented

• Ghosh, S., Biswas, D., Vijayan, S., & Chakravarthy, V. S. Modeling multi-channel EEG signals for multiple sleep stages using an oscillatory neural network. Bernstein Conference 2021.
• Ghosh, S., Biswas, D., Vijayan, S., & Chakravarthy, V. S. Modeling high-dimensional EEG signals using a trainable network of neural oscillators. ACCS 2022.
• Bandyopadhyay, A., Ghosh, S., Biswas, D., Bapi, R. S., & Chakravarthy, V. S. A trainable oscillatory neural network for modeling BOLD signals. SFN 2022.
• Ghosh, S., Shaik, R. B., Ramakrishnan, S. A., Kanagamani, T., Parvaz, M. A., & Chakravarthy, V. S. Classification of Psychosis and Healthy EEG data using spectral features and MLP network. IEEE NER 2023.
• Vigneswaran, C., Rohan, N., Ghosh, S., & Chakravarthy, V. Deep Oscillatory Neural Network for solving sequential problems. ACCS 2023.

Workshop Conducted

• Rhythms in the Brain - Workshop on Deep Oscillatory Neural Network Models and Translational Applications (ACCS 2023, IIT Kanpur)