Editorial: What AI and Neuroscience Can Learn from Each Other—Open Problems in Models and Theories

IF 4.3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Cognitive Computation Pub Date : 2024-07-23 DOI:10.1007/s12559-024-10324-x

Asim Roy, A. Minai, J. Thivierge, Tsvi Achler, Juyang Weng

引用次数: 0

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社论：人工智能和神经科学可以相互学习什么--模型和理论中的未决问题

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cognitive Computation COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-NEUROSCIENCES

CiteScore

9.30

自引率

3.70%

发文量

116

审稿时长

>12 weeks

期刊介绍： Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of natural and artificial cognitive systems. It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges the gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.