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

作　　者：Wenlian Lu 

机构地区：[1]Institute of Science and Technology for Brain-Inspired Intelligence of Fudan University,Shanghai,China

出　　处：《National Science Review》2024年第5期80-82,共3页国家科学评论（英文版）

摘　　要：The free-energy principle entails theBayesian brain hypothesis that can be implemented bymany 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.NSR spoke to a leading theoretical neuroscientist and authority on brain imaging—Karl Friston,the inventor of statistical parametric mapping,voxel-based morphometry and dynamic causal modeling.Friston is also known for his contributions to theoretical biology in the form of the free-energy principle and applications such as active inference.Friston is currently the Scientific Director of the Wellcome Trust Centre forNeuroimaging,Professor ofNeuroscience atQueen Square Institute ofNeurology,University College London andHonorary Consultant at The National Hospital for Neurology and Neurosurgery,UK.

关 键 词：free INTERVIEW DIRECTOR 

分 类 号：R318[医药卫生—生物医学工程] TN911.7[医药卫生—基础医学]