摘要
When new information enters the brain,a human's prior knowledge of the world can change rapidly through a process referred to as"knowledge assembly".Recently,Nelli et al.investigated the neural correlates of knowledge assembly in the human brain using functional MRI.Further,inspired by the neural mechanism,the authors developed an artificial neural network algorithm to permit rapid knowledge assembly,improving the flexibility of the system[1].Once again,this research demonstrates that studying how the brain works can lead to better computational algorithms.
基金
supported by STI2030-Major Projects 2021ZD0200201
the Scientific Research and Equipment Development Project of the Chinese Academy of Sciences(YJKYYQ20190040)。