Jinwei Xing

CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation

Eric O. Scott, J. Krichmar, N. Dutt, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Linking global top-down views to first-person views in the brain

Elizabeth R. Chrastil, J. Krichmar, D. Nitz, 2022, Proceedings of the National Academy of Sciences of the United States of America.

CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters

Nikil D. Dutt, Jeffrey L. Krichmar, Ting-Shuo Chou, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Neurorobots as a Means Toward Neuroethology and Explainable AI

Jeffrey L. Krichmar, Xinyun Zou, Kexin Chen, 2020, Frontiers in Neurorobotics.

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability

J. Krichmar, Xinyun Zou, E. Neftci, 2022, ArXiv.

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation pdf

Jeffrey L. Krichmar, Takashi Nagata, Emre Neftci, 2021, AAAI.

Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus

Sarojini M. Attili, G. Ascoli, J. Krichmar, 2022, Cognitive Computation.

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization

J. Krichmar, Xinyun Zou, E. Neftci, 2023, Neural Networks.

Spike trains encoding and threshold rescaling method for deep spiking neural networks

Yang Xu, Huajin Tang, Hongying Li, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning

Praveen K. Pilly, Nicholas A. Ketz, J. Krichmar, 2022, Simulation of Adaptive Behavior.

Uncertainty Aware Model Integration on Reinforcement Learning

E. Neftci, Tsutomu Kumazawa, Jinwei Xing, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).