Avoiding Catastrophic Forgetting-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Avoiding Catastrophic Forgetting

Published:2017-06 Issue:6 Volume:21 Page:407-408
ISSN:1364-6613
Container-title:Trends in Cognitive Sciences
language:en
Short-container-title:Trends in Cognitive Sciences

Author:

Hasselmo Michael E.

Funder

National Institutes of Health

Office of Naval Research

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology

Reference10 articles.

1. Overcoming catastrophic forgetting in neural networks;Kirkpatrick;Proc. Natl Acad. Sci. U. S. A.,2017

2. A massively parallel architecture for a self-organizing neural pattern recognition machine;Carpenter;Comput. Vision Graphics Image Process.,1987

3. Catastrophic forgetting in connectionist networks;French;Trends Cogn. Sci.,1999

4. Catastrophic interference in connectionist networks: the sequential learning problem;McCloskey,1989

5. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory;McClelland;Psychol. Rev.,1995

Cited by 18 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. Clustering-based incremental learning for imbalanced data classification;Knowledge-Based Systems;2024-05

2. Development and Validation of Adaptable Skin Cancer Classification System Using Dynamically Expandable Representation;Healthcare Informatics Research;2024-04-30

3. Lifetime policy reuse and the importance of task capacity;AI Communications;2023-10-24

4. Dynamic Incremental Learning for real-time disturbance event classification;International Journal of Electrical Power & Energy Systems;2023-06

5. Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation;PLOS Computational Biology;2022-11-18

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