A Computational Cognitive Model of the Brain

A Computational Cognitive Model of the Brain

Zhiwei Shi (Chinese Academy of Science, China and Graduate University of Chinese Academy of Sciences, China), Hong Hu (Chinese Academy of Science, China) and Zhongzhi Shi (Chinese Academy of Science, China)
DOI: 10.4018/jcini.2008100107
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Recent fruitful progresses on brain science have largely broadened our understanding of the cerebrum. These great works led us to propose a computational cognitive model based on a graphical model that we carried out before. The model possesses many attractive properties, including distinctive knowledge representation, the capability of knowledge accumulation, active (top-down) attention, subjective similarity measurement, and attention-guided disambiguation. It also has “consciousness” and can even “think” and “make inference.” To some extent, it works just like the human brain does. The experimental evidence demonstrates that it can give reasonable computational explanation on the human phenomenon of forgetting. Although there are still some undetermined details and neurobiological mechanisms deserving consideration, our work presents a meaningful attempt to give further insights into the brain’s functions.

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