Theoretical framework of brain modelling and highlighted problems
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 method...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2021-12-01
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| Series: | 智能科学与技术学报 |
| Subjects: | |
| Online Access: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202141 |
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| Summary: | 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. |
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| ISSN: | 2096-6652 |