Titlebook: Neural Information Processing; 14th International C Masumi Ishikawa,Kenji Doya,Takeshi Yamakawa Conference proceedings 2008 Springer-Verlag

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Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding-trains having various inter-spike-intervals. In this paper we present some basic relations between parameters of the DSN and characteristics of the spike-train. We also discuss that the presented results will be fundamental to consider ISI-based coding abilities of the DSN.

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Analog CMOS Circuits Implementing Neural Segmentation Model Based on Symmetric STDP Learningneural oscillators mutually couple through synaptic connections. The model performs segmentation in temporal domain, which is equivalent to segmentation according to the spike timing difference of each neuron. Thus, the learning is governed by symmetric spike-timing dependent plasticity (STDP). We n

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Power Quality Control of Hybrid Wind Power Generation System Using Fuzzy-Robust Controllerhe proposed control scheme is based on the Takagi-Sugeno (TS) fuzzy model and the sliding mode nonlinear control. The TS fuzzy model expresses the local dynamics of a nonlinear system through sub-systems partitioned by linguistic rules. Thus, the TS fuzzy model provides a mechanism to take an advant

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