| Budget Amount *help |
¥12,610,000 (Direct Cost: ¥9,700,000、Indirect Cost: ¥2,910,000)
Fiscal Year 2018: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2017: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2016: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2015: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Outline of Final Research Achievements |
In this project, we have tackled the problem of reconstructing neuronal circuitry from a large number of parallel spike trains recorded from cortical neurons in vivo. The original idea of inferring neuronal synaptic connections from parallel spike trains was proposed by Perkel, Gerstein, and Moore in more than 50 years ago. The existing methods can give plausible inferences about connections but also have produced a lot of false inferences due to large fluctuations in neuronal activity. We constructed a new analytical method by applying a Generalized Linear Model to a cross-correlation between spike trains for a pair of neurons. The new method has the potential to capture the difference in neuronal computation in different brain regions. It took us 6 years to complete the study before we published the result in Nature Communications in 2019. We have also obtained a lot of other studies during this period.
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