| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 503 | 2023 |
| CARLsim 4: An open source library for large scale, biologically detailed spiking neural network simulation using heterogeneous clusters TS Chou, HJ Kashyap, J Xing, S Listopad, EL Rounds, M Beyeler, N Dutt, ... 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 107 | 2018 |
| Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation J Xing, T Nagata, K Chen, X Zou, E Neftci, JL Krichmar Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021 | 40 | 2021 |
| Spike trains encoding and threshold rescaling method for deep spiking neural networks Y Xu, H Tang, J Xing, H Li 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017 | 30 | 2017 |
| Neurorobots as a means toward neuroethology and explainable AI K Chen, T Hwu, HJ Kashyap, JL Krichmar, K Stewart, J Xing, X Zou Frontiers in Neurorobotics 14, 570308, 2020 | 26 | 2020 |
| CARLsim 6: an open source library for large-scale, biologically detailed spiking neural network simulation L Niedermeier, K Chen, J Xing, A Das, J Kopsick, E Scott, N Sutton, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-10, 2022 | 24 | 2022 |
| Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization J Xing, T Nagata, X Zou, E Neftci, JL Krichmar Neural Networks 161, 228-241, 2023 | 13* | 2023 |
| Robust resting-state dynamics in a large-scale spiking neural network model of area CA3 in the mouse hippocampus JD Kopsick, C Tecuatl, K Moradi, SM Attili, HJ Kashyap, J Xing, K Chen, ... Cognitive Computation 15 (4), 1190-1210, 2023 | 12 | 2023 |
| Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation J Xing, X Zou, JL Krichmar 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 12 | 2020 |
| Linking global top-down views to first-person views in the brain J Xing, ER Chrastil, DA Nitz, JL Krichmar Proceedings of the National Academy of Sciences 119 (45), e2202024119, 2022 | 2 | 2022 |
| Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning J Xing, X Zou, PK Pilly, NA Ketz, JL Krichmar International Conference on Simulation of Adaptive Behavior, 115-126, 2022 | 1 | 2022 |
| Understanding the Brain Using Machine Learning and Enhancing Machine Learning With Neuroscience J Xing University of California, Irvine, 2023 | | 2023 |
| Uncertainty Aware Model Integration on Reinforcement Learning T Nagata, J Xing, T Kumazawa, E Neftci 2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022 | | 2022 |
Jeff KrichmarProfessor of Cognitive Sciences, Professor of Computer Science, University of California, IrvineVerified email at uci.edu
