| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
To contribute to the decoding of brain function information from electroencephalogram or magnetoencephalogram signals, this study aims at finding a key to solving micro-macro correspondence between the neural activities and the measured signals. Neural mass models are the elementary models for describing macroscopic cortical dynamics. However, the model equation has been used the time constants which are given by an empirical hypothesis from the measurement results and its direct relationship to the microscopic neuron model has not been fully elucidated. This study derived the equivalent formula to the neural mass model by averaging the network dynamics of neurons. We confirmed that the obtained model reproduces the dynamics of the network model for the spiking neurons through the scaling of the power spectrum density for the population.
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