What AI, Neuroscience, and Cognitive Science Can Learn from Each Other: An Embedded Perspective-Reference-Cited by-同舟云学术

What AI, Neuroscience, and Cognitive Science Can Learn from Each Other: An Embedded Perspective

Published:2023-11-01 Issue: Volume: Page:
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Achler Tsvi

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-023-10194-9.pdf

Reference54 articles.

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3. French RM. Catastrophic forgetting in connectionist networks. In: Encyclopedia of cognitive science, vol. 1. Nature Publishing Group, London; 2003. p 431–5.

4. Coop R, Arel I. Mitigation of catastrophic interference in neural networks using a fixed expansion layer. Midwest Symposium on Circuits and Systems. 2012;726–729.

5. Moe-Helgesen O-M, Stranden H. Catastrophic forgetting in neural networks. 2005. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.622.7385&rep=rep1&type=pdf.

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1. Editorial: What AI and Neuroscience Can Learn from Each Other—Open Problems in Models and Theories;Cognitive Computation;2024-07-23