Feedback processing in the primate brain and in AI systems  

作　　者：JIANG Yong HE Sheng 

机构地区：[1]Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China [2]Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,Hefei 230088,China [3]University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Science China(Technological Sciences)》2024年第8期2297-2309,共13页中国科学（技术科学英文版）

基　　金：supported by the National Key Research and Development Program of China (Grant Nos. 2021ZD0204200, and 2021ZD0203800);the Key Research Program of Frontier Sciences, Chinese Academy of Sciences (Grant No. KJZDSW-L08);CAS Project for Young Scientists in Basic Research (Grant No. YSBR-071)。

摘　　要：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 taskdemands 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.

关 键 词：cognitive neuroscience artificial intelligence feedback processing ATTENTION LEARNING 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]