Inspires effective alternatives to backpropagation:predictive coding helps understand and build learning  

作　　者：Zhenghua Xu Miao Yu Yuhang Song 

机构地区：[1]School of Health Sciences and Biomedical Engineering,Hebei University of Technology,Tianjin,China [2]Department of Computer Science,University of Oxford,Oxford,UK

出　　处：《Neural Regeneration Research》2025年第11期3215-3216,共2页中国神经再生研究（英文版）

基　　金：supported by the National Natural Science Foundation of China,No.62276089。

摘　　要：Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human brain.To enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.

关 键 词：ASSIGNMENT LEARNING enable 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]