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Theoretical and Heuristic Synthesis of Digital Spiking Neurons for Spike-Pattern-Division Multiplexing Tetsuro IGUCHI Akira HIRATA Hiroyuki TORIKAI Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E93-A No.8 pp.1486-1496 Publication Date: 2010/08/01 Online ISSN: 1745-1337 DOI: 10.1587/transfun.E93.A.1486 Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: spiking neuron, cellular automaton, discrete-state dynamical system, ultra-wideband impulse radio, dynamic FPGA, on-chip learning, Full Text: PDF(1.1MB)>>
Summary: A digital spiking neuron is a wired system of shift registers that can generate spike-trains having various spike patterns by adjusting the wiring pattern between the registers. Inspired by the ultra-wideband impulse radio, a novel theoretical synthesis method of the neuron for application to spike-pattern division multiplex communications in an artificial pulse-coupled neural network is presented. Also, a novel heuristic learning algorithm of the neuron for realization of better communication performances is presented. In addition, fundamental comparisons to existing impulse radio sequence design methods are given. | ||||||||||
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