A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals. - Dipayan Biswas; Sooryakiran Pallikkulath; V. Srinivasa Chakravarthy (Frontiers Comput. Neurosci., 2021)

A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal. - Anirban Bandyopadhyay; Sayan Ghosh; Dipayan Biswas; Raju Surampudi Bapi; V. Srinivasa Chakravarthy (ICONIP (2), 2022)

Modeling the tonotopic map using a two-dimensional array of neural oscillators. - Dipayan Biswas; V. Srinivasa Chakravarthy; Asit Sharad Tarsode (Frontiers Comput. Neurosci., 2022)

Identification of Visual Objects in Lecture Videos with Color and Keypoints Analysis. - Dipayan Biswas; Shishir K. Shah; Jaspal Subhlok (ISM, 2023)

Coupled Memristor Oscillators for Neuromorphic Locomotion Control: Modeling and Analysis. - Akhil Bonagiri; Dipayan Biswas; V. Srinivasa Chakravarthy (IEEE Trans. Neural Networks Learn. Syst., 2024)

Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network. - Sayan Ghosh; Dipayan Biswas; Nurani Rajagopal Rohan; Sujith Vijayan; V. Srinivasa Chakravarthy (Frontiers Neuroinformatics, 2025)

Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos. - Dipayan Biswas; Shishir Shah 001; Jaspal Subhlok (CoRR, 2025)

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment. - Dipayan Biswas; Shishir Shah 001; Jaspal Subhlok (CoRR, 2025)