Neural interactome: Interactive simulation of a neuronal system J Kim, W Leahy, E Shlizerman Frontiers in computational neuroscience 13, 8, 2019 | 28 | 2019 |
Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans H Liu, J Kim, E Shlizerman Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018 | 23 | 2018 |
Whole integration of neural connectomics, dynamics and bio-mechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans J Kim, JA Santos, MJ Alkema, E Shlizerman bioRxiv, 724328, 2019 | 11 | 2019 |
Deep reinforcement learning for neural control J Kim, E Shlizerman arXiv preprint arXiv:2006.07352, 2020 | 2 | 2020 |
ElectroPhysiomeGAN: Generation of Biophysical Neuron Model Parameters from Recorded Electrophysiological Responses J Kim, Q Liu, E Shlizerman bioRxiv, 2023.12. 19.572452, 2023 | | 2023 |
C. elegans Nervous System Model Reveals a XOR-Gate Mechanism Mediating Oxygen Sensation J Kim, E Shlizerman Computational Systems and Neuroscience (COSYNE) 2021, 2021 | | 2021 |
Deep Reinforcement Learning of Extra-synaptic Control in C. elegans Chemosensory Response J Kim, E Shlizerman Computational Systems and Neuroscience (COSYNE) 2020, 2020 | | 2020 |