2010 Fiscal Year Final Research Report
Modeling of the complementary learning systems between hippocampus and neocortex
| Project/Area Number |
19700217
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | University of Yamanashi |
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Principal Investigator |
HATTORI Motonobu University of Yamanashi, 大学院・医学工学総合研究部, 准教授 (40293435)
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| Project Period (FY) |
2007 – 2010
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| Keywords | 海馬 / 大脳皮質 / CLS理論 / 記憶 / ニューラルネットワーク |
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| Research Abstract |
In this research, we have examined the mechanism of the complementary learning between the hippocampus and the neocortex of the brain by using an artificial neural network model which is based on physiological, anatomical and neuropsychological findings. As the results, we have revealed that the structure of the hippocampus itself can decrease the similarity of patterns to be stored and makes easy to store them. This function can be exaggerated by the neuronal turnover in dentate gyrus. Moreover, we have shown that the chaotic recall in the hippocampal network can reduce catastrophic forgetting in the neocortical network.
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