| Project/Area Number |
16F16734
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 外国 |
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| Research Field |
Neurophysiology / General neuroscience
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| Research Institution | Institute of Physical and Chemical Research |
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Principal Investigator |
ベヌッチ アンドレア 国立研究開発法人理化学研究所, 脳科学総合研究センター, チームリーダー (50722352)
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| Co-Investigator(Kenkyū-buntansha) |
FRANDI EMANUELE 国立研究開発法人理化学研究所, 脳科学総合研究センター, 外国人特別研究員
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| Project Period (FY) |
2016-07-27 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,200,000 (Direct Cost: ¥2,200,000)
Fiscal Year 2017: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2016: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | recurrent neural network / large neuronal networks / machine learning / theoretical neuroscience / visual cortex |
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| Outline of Annual Research Achievements |
The overall study and implementation of the machine learning framework which will serve as the basis for the analysis of neural network dynamics has almost being finalized. The implementation of a general framework based on recurrent neural network models, which constitutes the key part of the project, was completed in the previous FY. Although our initial experiments were carried out on data of a slightly different nature from that outlined in the original proposal, the machine learning methodologies we have developed are very general and flexible, and can be readily applicable to neural recordings from different contexts that researchers at the lab are working on,including behavioral tasks involving rewards. From the point of view of scientific results, the project has progressed smoothly. The results obtained during last FY have been presented at a flagship neuroscience conference (SfN 2017, Washington DC, USA), at the Dec-2017 Tokyo Brain-AI area meeting, and the results of our most recent analyses are being collected into a journal paper already submitted for publication.
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| Research Progress Status |
翌年度、交付申請を辞退するため、記入しない。
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| Strategy for Future Research Activity |
翌年度、交付申請を辞退するため、記入しない。
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