| Project/Area Number |
22K20684
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
0704:Neuroscience, brain sciences, and related fields
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| Research Institution | Kyoto University |
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Principal Investigator |
Li Yaolong 京都大学, 医学研究科, 研究員 (40966983)
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| Project Period (FY) |
2022-08-31 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | spatial memory / projection neuron / place cell / Spatial learning / Spatial memory formation |
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| Outline of Research at the Start |
The purpose of this project is to understand how spatial learning and memory are formed and stored in the brain.I focus on parts of the brain circuits and try to figure out their roles of in spatial learning and memory formation. It will improve the treatment of memory disease like amnesia.
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| Outline of Final Research Achievements |
In our previous experiments, we found that the anterior cingulate cortex (ACC) to retrosplenial cortex (RSC) neurons contain the place cells which preferentially fired around the reward location, whereas ACC-dmSTR neurons contain the place cells which fired in sequence in spatial map. In this year, we checked whether ACC-RSC place cells still firing when there is no water reward. We found that these cells still firing when the reward was removed. Next, we found that when the reward location shifted some of these cells fired in new reward location, and new ACC-RSC place cells also formed in new reward location. These findings will help us to better understand how spatial map is formed in the brain.
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| Academic Significance and Societal Importance of the Research Achievements |
These studies will help us to better understand how memory is formed and stored in the brain. It will promote the medical treatment of amnesia disease like Alzheimer,and it can also promote the development of artificial intelligence.
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