Chinese Journal of Intelligent Science and Technology ›› 2021, Vol. 3 ›› Issue (4): 412-434.doi: 10.11959/j.issn.2096-6652.202141

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Theoretical framework of brain modelling and highlighted problems

Dongwei HU1, Xiaolu FENG2   

  1. 1 The 54th Institute of China Electronics Technology Group Corporation, Shijiazhuang 050080, China
    2 The Shiyan School Attached to Shijiazhuang No.2 Middle School, Shijiazhuang 050080, China
  • Revised:2020-08-14 Online:2021-12-15 Published:2021-12-01


Understanding how the brain works is an important way to constructing the final artificial general intelligence.Building models, and testing the correctness of these models play a pivotal role on understanding how the brain works.Firstly, the experimental techniques and mathematical modelling methods for the study of brain were reviewed, and then the block diagram model and theoretical framework were shown, with an emphasis on reinforcement learning.Finally, some highlighted problems in this area, and the relation with closely related disciplines were addressed.

Key words: brain, model, artificial intelligence, machine learning, prefrontal cortex, hippocampus, amygdale

CLC Number: 

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