| Phase entrainment by periodic stimuli in silico: a quantitative study S Sasi, BS Bhattacharya Neurocomputing 469, 273-288, 2022 | 2 | 2022 |
| In silico effects of synaptic connections in the visual thalamocortical pathway S Sasi, B Sen Bhattacharya Frontiers in Medical Technology, 20, 2022 | 1 | 2022 |
| Quantifying Synchronization in a Biologically Inspired Neural Network P Mahajan, A Rane, S Sasi, BS Bhattacharya 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 1 | 2021 |
| In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model S Sasi, B Sen Bhattacharya International Conference on Artificial Neural Networks, 385-396, 2023 | | 2023 |
| Optimising hyperparameter search in a visual thalamocortical pathway model S Sasi, TY Lilywala, BS Bhattacharya 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | | 2022 |
| Bayesian Optimisation for a Biologically Inspired Population Neural Network M Kothari, S Sasi, J Chen, E Zareian, BS Bhattacharya arXiv preprint arXiv:2104.05989, 2021 | | 2021 |
| Study of the thalamocortical dynamics in the visual pathway using in silico model S Sasi, BS Bhattacharya Bernstein Conference 2021, http://doi.org/10.12751/nncn.bc2021.p029, 2021 | | 2021 |
| Phase Synchronisation in a thalamocortical neural mass model P Mahajan, AP Rane, S Sasi, BS Bhattacharya Bernstein Conference 2020, http://doi.org/10.12751/nncn.bc2020.0191, 2020 | | 2020 |
