2009 Fiscal Year Final Research Report
Estimations of neural networks by fluctuations of neuron spikes
| Project/Area Number |
18079003
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| Research Category |
Grant-in-Aid for Scientific Research on Priority Areas
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| Allocation Type | Single-year Grants |
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| Review Section |
Science and Engineering
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| Research Institution | The University of Tokyo |
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Principal Investigator |
OKADA Masato The University of Tokyo, 大学院・新領域創成科学研究科, 教授 (90233345)
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| Co-Investigator(Kenkyū-buntansha) |
MIMURA Kazushi (40353297)
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| Project Period (FY) |
2006 – 2009
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| Keywords | 多体問題 / 統計力学 / 神経科学 / BMI / データマイニング |
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| Research Abstract |
It has become possible to make simultaneous measurements of neural activity (spikes) in large numbers of neurons with large arrays of electrodes. Significant advantage of the statistical mechanical informatics (SMI) is to extract a macroscopic description of the system with a small number of parameters by performing reduction of many microscopic degrees of freedom. Hierarchy, reduction, and macroscopic description should also be essential in order to understand the brain. From this point of view, we proposed new SMI frameworks for neural network models, and methods for analyzing neuronal spike data based on the information theory and the Bayesian inference.
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