Inspires effective alternatives to backpropagation:predictive coding helps understand and build learning
Zhenghua Xu
Miao Yu
Yuhang Song
Abstract：Artificial neural networks are capable of machine learning by simulating the hierarchical 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.
Machine-generated Keywords：
Publication Date：2025-11-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：2( 3215-3216 )