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Spiking Neural Network for Ultralow-Latency and High-Accurate Object Detection 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 10.1109/TNNLS.2024.3372613
作者:  Jinye Qu;  Zeyu Gao;  Tielin Zhang;  Yanfeng Lu;  Huajin Tang;  Hong Qiao
Adobe PDF(2939Kb)  |  收藏  |  浏览/下载：16/8  |  提交时间：2024/06/06
Transformer-based Spiking Neural Networks for Multimodal Audio-Visual Classification 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2023, 页码: DOI 10.1109/TCDS.2023.3327081
作者:  Guo LY(郭凌月);  Zeyu Gao;  Jinye Qu;  Suiwu Zheng;  Runhao Jiang;  Yanfeng Lu;  Hong Qiao
Adobe PDF(3922Kb)  |  收藏  |  浏览/下载：20/6  |  提交时间：2024/05/28
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:  Wang, Xiaona;  Chen, Jiahao;  Qiao, Hong
Adobe PDF(2080Kb)  |  收藏  |  浏览/下载：129/8  |  提交时间：2023/03/20
Muscles  Recurrent neural networks  Mathematical models  Bio-inspired control  Robot kinematics  Tendons  Musculoskeletal system  Biologically inspired control  motor cortex  movement preparation  musculoskeletal system  recurrent neural network (RNN)  
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2018, 卷号: 10, 期号: 4, 页码: 1153 - 1164
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong;  Ji, Yidao
浏览  |  Adobe PDF(2073Kb)  |  收藏  |  浏览/下载：225/70  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning 期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong;  Amir Hussain
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：342/14  |  提交时间：2020/06/09
Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics