机构

• 自动化研究所 [108]

采集方式

• OAI收割 [108]

内容类型

• 期刊论文 [87]
• 学位论文 [11]
• 会议论文 [10]

发表日期

• 2024 [2]
• 2023 [9]
• 2022 [9]
• 2021 [8]
• 2020 [8]
• 2019 [5]
• 更多

学科主题

• 类脑智能 [1]

筛选

浏览/检索结果: 共108条，第1-10条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 20 作者:  Zheng, Hanle;  Zheng, Zhong;  Hu, Rui;  Xiao, Bo;  Wu, Yujie   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/21 Contrastive Correlation Preserving Replay for Online Continual Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 124-139 作者:  Yu, Da;  Zhang, Mingyi;  Li, Mantian;  Zha, Fusheng;  Zhang, Junge   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/26 Task analysis  Correlation  Knowledge transfer  Training  Memory management  Data models  Mutual information  Continual learning  catastrophic forgetting  class-incremental learning  experience replay   Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques 期刊论文  OAI收割 PSYCHIATRY RESEARCH, 2023, 卷号: 329, 页码: 12 作者:  Lou, Jing;  Liu, Kai;  Wen, Junyan;  He, Yini;  Sun, Yuqing   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/02/22 Major depressive disorder (MDD)  miR-134  Two -stage cross -scale imaging transcriptomic  analyses  Biomarkers  Multi-omics   Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 13 作者:  Pan, Wenxuan;  Zhao, Feifei;  Zeng, Yi;  Han, Bing   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 Brain-inspired neural circuit evolution for spiking neural networks 期刊论文  OAI收割 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 卷号: 120, 期号: 39, 页码: 10 作者:  Shen, Guobin;  Zhao, Dongcheng;  Dong, Yiting;  Zeng, Yi   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/21 brain-inspired  neural circuit evolution  spiking neural networks   A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot 期刊论文  OAI收割 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1209-1223 作者:  Zhang, Jinhan;  Chen, Jiahao;  Wu, Wei;  Qiao, Hong   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning   A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost 期刊论文  OAI收割 SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 34, 页码: 12 作者:  Zhang, Tielin;  Cheng, Xiang;  Jia, Shuncheng;  Li, Chengyu T.;  Poo, Mu-ming   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/11/17 An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 165, 页码: 799-808 作者:  Dong, Yiting;  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/17 Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection   Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13 作者:  Zhang, Tielin;  Wang, Qingyu;  Xu, Bo   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/11/17 Self-lateral propagation (SLP)  spatial classifica-tion  spiking neural network (SNN)  synaptic plasticity  temporal classification   Origin of the efficiency of spike timing-based neural computation for processing temporal information 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 160, 页码: 84-96 作者:  Jiang, Zhiwei;  Xu, Jiaming;  Zhang, Tielin;  Poo, Mu-ming;  Xu, Bo   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/03/20 Postsynaptic potential  Spiking neural network  Sequence learning  Temporal information processing