Quantifying Synchronization in a Biologically Inspired Neural Network. - Pranav Mahajan; Advait Rane; Swapna Sasi; Basabdatta Sen Bhattacharya (IJCNN, 2021)

Bayesian Optimisation for a Biologically Inspired Population Neural Network. - Mahak Kothari; Swapna Sasi; Jun Chen 009; Elham Zareian; Basabdatta Sen Bhattacharya (CoRR, 2021)

Optimising hyperparameter search in a visual thalamocortical pathway model. - Swapna Sasi; Taher Yunus Lilywala; Basabdatta Sen Bhattacharya (IJCNN, 2022)

Phase entrainment by periodic stimuli in silico: A quantitative study. - Swapna Sasi; Basabdatta Sen Bhattacharya (Neurocomputing, 2022)

In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model. - Swapna Sasi; Basabdatta Sen Bhattacharya (ICANN (2), 2023)

Neural mass modelling of brain stimulation to Alleviate Schizophrenia biomarkers in brain rhythms. - Swapna Sasi; Basabdatta Sen Bhattacharya; Vanteemar S. Sreeraj; Ganesan Venkatasubramanian (Comput. Biol. Medicine, 2025)