2011 Fiscal Year Final Research Report
Pulse-coupled systems of digital spiking neurons : Consolidations of learning methods and application basics
| Project/Area Number |
21700253
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Osaka University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | ニューラルネットワーク / 離散状態系 / FPGA / 動的再構成可能VLSI |
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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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