| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Research Abstract |
In this study, a neuron model that is described by an asynchronous cellular automaton having discrete state and continuous transient time is proposed. Also, a learning algorithm for the model to reproduce nonlinear dynamics of a biological neuron automatically in an FPGA is proposed. Furthermore, a network of the model is presented and its various spatio-temporal phenomena are analyzed both analytically and numerically. Then, possibilities of applications of these results to neural prosthesis are explored.
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