首页|Feedback processing in the primate brain and in AI systems

Feedback processing in the primate brain and in AI systems

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The primate brain and artificial intelligence(AI)can both be conceptualized as information processing systems,each with its own distinct biological and computational architectures.While there are parallels between them,their respective structural and functional connections show significant differences.In this paper,we examine the central role of feedback processing in both the primate brain and AI systems,which has been shown to be crucial in shaping neural processing.By reviewing the key features of feedback processes in the primate brain,which allows the brain to incorporate prior knowledge,contextual information,and task-demands into early-stage processing,we highlight the divergence in goals and functions between biological and AI systems.Understanding these differences is crucial for elucidating the cognitive capabilities of the primate brain and for addressing computational challenges in AI.In advocating"Cognition-Inspired-Computation",we suggest that integrating insights from feedback processing in the primate brain into AI research will offer potentially significant improvements for the advancement of AI systems.

cognitive neuroscienceartificial intelligencefeedback processingattentionlearning

JIANG Yong、HE Sheng

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Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China

University of Chinese Academy of Sciences,Beijing 100049,China

Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,Hefei 230088,China

National Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaKey Research Program of Frontier Sciences,Chinese Academy of SciencesCAS Project for Young Scientists in Basic Research

2021ZD02042002021ZD0203800KJZDSW-L08YSBR-071

2024

10.1007/s11431-024-2755-x

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子：1.056
ISSN：1674-7321
年,卷(期)：2024.67(8)