Bayesian brain computing and the free-energy principle: an interview with Karl Friston

作     者：Wenlian Lu Wenlian Lu

作者机构：the Institute of Science and Technology for Brain-Inspired Intelligence of Fudan University 

出 版 物：《National Science Review》 (国家科学评论(英文版))

年 卷 期：2024年第11卷第5期

页      面：87-89页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：interview bayesian brain karl with computing free-energy friston principle 

摘      要：The free-energy principle entails the Bayesian brain hypothesis that can be implemented by many schemes considered in this field. The combination of multimodal brain imaging and free-energy minimization has shown promise in unraveling complex brain dynamics and understanding the interactions among distinct brain regions. The Bayesian mechanics of brain computing gives a unique route to understanding authentic(neuromimetic) intelligence and, more importantly, points towards the development of brain-inspired intelligence.