Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States. - Zhe Chen 001; Sujith Vijayan; Riccardo Barbieri; Matthew A. Wilson; Emery N. Brown (Neural Comput., 2009)

Assessing neuronal interactions of cell assemblies during general anesthesia. - Zhe Chen 001; Sujith Vijayan; ShiNung Ching; Greg Hale; Francisco J. Flores; Matthew A. Wilson; Emery N. Brown (EMBC, 2011)

System identification for sleep-mediated, stimulation-enhanced memory consolidation. - Kyle Q. Lepage; Sujith Vijayan (ACSSC, 2017)

A comparative study of motor imagery based BCI classifiers on EEG and iEEG data. - Naresh Nagabushan; Taber Fisher; Giovanni Malaty; Mark Witcher; Sujith Vijayan (GlobalSIP, 2019)

Temporal learning of bottom-up connections via spatially nonspecific top-down inputs. - Jung Hoon Lee; Mean-Hwan Kim; Sujith Vijayan (Neurocomputing, 2020)

Analysis of functional neural codes of deep learning models. - Jung Hoon Lee; Sujith Vijayan (CoRR, 2022)

Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study. - Jung Hoon Lee; Joji Tsunada; Sujith Vijayan; Yale E. Cohen (Frontiers Comput. Neurosci., 2022)

Having Second Thoughts? Let's hear it. - Jung Hoon Lee; Sujith Vijayan (CoRR, 2023)

Searching for internal symbols underlying deep learning. - Jung H. Lee; Sujith Vijayan (CoRR, 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)

Two out of Three (ToT): using self-consistency to make robust predictions. - Jung Hoon Lee; Sujith Vijayan (CoRR, 2025)

Spiking Neural Network: a low power solution for physical layer authentication. - Jung Hoon Lee; Sujith Vijayan (CoRR, 2025)

A Nonlinear MPC Framework for Loco-Manipulation of Quadrupedal Robots with Non-Negligible Manipulator Dynamics. - Ruturaj Sambhus; Kapi Ketan Mehta; Ali MirMohammad Sadeghi; Basit Muhammad Imran; Jeeseop Kim; Taizoon Chunawala; Vittorio Pastore; Sujith Vijayan; Kaveh Akbari Hamed (CoRR, 2025)