Jeff Krichmar
University of California, Irvine
H-index: 43
North America-United States
Top articles of Jeff Krichmar
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Understanding and improving optimization in predictive coding networks | Proceedings of the AAAI Conference on Artificial Intelligence | Nicholas Alonso Jeffrey Krichmar Emre Neftci | 2024/3/24 |
A Rapid Adapting and Continual Learning Spiking Neural Network Path Planning Algorithm for Mobile Robots | arXiv preprint arXiv:2404.15524 | Harrison Espino Robert Bain Jeffrey L Krichmar | 2024/4/23 |
An Integrated Toolbox for Creating Neuromorphic Edge Applications | arXiv preprint arXiv:2404.08726 | Lars Niedermeier Jeffrey L Krichmar | 2024/4/12 |
NeuSB: A scalable interconnect architecture for spiking neuromorphic hardware | IEEE Transactions on Emerging Topics in Computing | Adarsha Balaji Phu Khanh Huynh Francky Catthoor Nikil D Dutt Jeffrey L Krichmar | 2023/1/26 |
What can computer vision learn from visual neuroscience? Introduction to the special issue | Biological Cybernetics | Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li | 2023/10 |
Evaluation of the toyota human support robot (HSR) for social interaction and learning | International journal of technology, knowledge and society | Veronica Ahumada-Newhart Hirak J Kashyap Tiffany Hwu Yi Tian Lara Mirzakhanian | 2023 |
Robust resting-state dynamics in a large-scale spiking neural network model of area CA3 in the mouse hippocampus | Cognitive Computation | Jeffrey D Kopsick Carolina Tecuatl Keivan Moradi Sarojini M Attili Hirak J Kashyap | 2023/7 |
Importance of path planning variability: A simulation study | Topics in Cognitive Science | Jeffrey L. Krichmar Chuanxiuyue He | 2023 |
Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner | Harrison Espino Robert Bain Jeffrey L Krichmar | 2023/6/18 | |
Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations | Lars Niedermeier Jeffrey L Krichmar | 2023/6/18 | |
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization | Neural Networks | Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci Jeffrey L Krichmar | 2023/4/1 |
8 Neurorobotic Navigation | Tiffany J Hwu Jeffrey L Krichmar | 2022 | |
III NEUROROBOT APPLICATIONS | Tiffany J Hwu Jeffrey L Krichmar | 2022 | |
Biological underpinnings for lifelong learning machines | Dhireesha Kudithipudi Mario Aguilar-Simon Jonathan Babb Maxim Bazhenov Douglas Blackiston | 2022/3 | |
Design principles for neurorobotics | Frontiers in Neurorobotics | Jeffrey L Krichmar Tiffany J Hwu | 2022/5/25 |
Linking global top-down views to first-person views in the brain | Proceedings of the National Academy of Sciences | Jinwei Xing Elizabeth R Chrastil Douglas A Nitz Jeffrey L Krichmar | 2022/11/8 |
6 Neurorobot Design Principles 2: Adaptive Behavior, a Change for the Better | Tiffany J Hwu Jeffrey L Krichmar | 2022 | |
4 Reinforcement Learning and Prediction | Tiffany J Hwu Jeffrey L Krichmar | 2022 | |
IEEE Transactions on Cognitive and Developmental Systems | YAOCHU JIN HUSSEIN ABBASS GUILLEM ALENYA ALBERT ALI SALAH AMIR ALY | 2021 | |
Policy distillation with selective input gradient regularization for efficient interpretability | arXiv preprint arXiv:2205.08685 | Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci Jeffrey L Krichmar | 2022/5/18 |
