| Neural interactome: Interactive simulation of a neuronal system J Kim, W Leahy, E Shlizerman Frontiers in computational neuroscience 13, 8, 2019 | 37 | 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 | 35 | 2018 |
| Modular integration of neural connectomics, dynamics and biomechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans J Kim, JT Florman, JA Santos, MJ Alkema, E Shlizerman arXiv preprint arXiv:2504.18073, 2025 | 14 | 2025 |
| Deep reinforcement learning for neural control J Kim, E Shlizerman arXiv preprint arXiv:2006.07352, 2020 | 6 | 2020 |
| Generation of biophysical neuron model parameters from recorded electrophysiological responses J Kim, M Peng, S Chen, Q Liu, E Shlizerman eLife 13, RP95607, 2025 | 1 | 2025 |
| 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 |