中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15
作者:  Xing, Dengpeng;  Yang, Yiming;  Zhang, Tielin;  Xu, Bo
Adobe PDF(2960Kb)  |  收藏  |  浏览/下载：229/12  |  提交时间：2022/06/10
Task analysis  Robots  Force  Planning  Mathematical models  Brain modeling  Biology  Brain-inspired structure  precision physical interaction  spiking neural networks (SNNs)  
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(2904Kb)  |  收藏  |  浏览/下载：228/11  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Zhang, Tielin;  Jia, Shuncheng;  Cheng, Xiang;  Xu, Bo
收藏  |  浏览/下载：231/0  |  提交时间：2022/01/27
Neurons  Biology  Convolution  Biological neural networks  Tuning  Membrane potentials  Kernel  Biologically plausible computing  neuronal dynamics  reward propagation  spiking neural network (SNN)  
Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks 期刊论文
SCIENCE ADVANCES, 2021, 卷号: 7, 期号: 43, 页码: 11
作者:  Zhang, Tielin;  Cheng, Xiang;  Jia, Shuncheng;  Poo, Mu-Ming;  Zeng, Yi;  Xu, Bo
收藏  |  浏览/下载：226/0  |  提交时间：2021/12/28
Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15, 页码: 11
作者:  Jia, Shuncheng;  Zhang, Tielin;  Cheng, Xiang;  Liu, Hongxing;  Xu, Bo
收藏  |  浏览/下载：239/0  |  提交时间：2021/04/21
spiking neural network  neuronal plasticity  synaptic plasticity  reward propagation  sparse connections  
A Curiosity-Based Learning Method for Spiking Neural Networks 期刊论文
Frontiers in Computational Neuroscience, 2020, 卷号: 14, 期号: 14, 页码: 7
作者:  Shi, Mengting;  Zhang, Tielin;  Zeng, Yi
浏览  |  Adobe PDF(1349Kb)  |  收藏  |  浏览/下载：404/112  |  提交时间：2020/04/27
Curiosity  Spiking Neural Network  Novelty  Stdp  Voltage-driven Plasticity-centric Snn