A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule

Published:2020-01 Issue: Volume:121 Page:387-395
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Hao Yunzhe,Huang Xuhui,Dong Meng,Xu Bo

Funder

National Natural Science Foundation of China

Beijing Brain Science Project, China

Chinese Academy of Sciences

NVIDIA Corporation, United States of America

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference70 articles.

1. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule;Beyeler;Neural Networks,2013

2. Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type;Bi;Journal of Neuroscience,1998

3. Retroactive modulation of spike timing-dependent plasticity by dopamine;Brzosko;Elife,2015

4. Spiking deep convolutional neural networks for energy-efficient object recognition;Cao;International Journal of Computer Vision,2015

5. Spike timing-dependent plasticity : A Hebbian learning rule;Caporale;Annual Review of Neuroscience,2008

Cited by 106 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Delay learning based on temporal coding in Spiking Neural Networks;Neural Networks;2024-12

2. Meta-learning in spiking neural networks with reward-modulated STDP;Neurocomputing;2024-10

3. Enhancing orderly signal propagation between layers of neuronal networks through spike timing-dependent plasticity;Physics Letters A;2024-09

4. Unleashing the potential of spiking neural networks for epileptic seizure detection: A comprehensive review;Neurocomputing;2024-09

5. Brain-inspired biomimetic robot control: a review;Frontiers in Neurorobotics;2024-08-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3