The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un neurone à pointes numériques est un système câblé de registres à décalage qui peut générer des trains de pointes ayant différents modèles de pointes en ajustant le modèle de câblage entre les registres. Inspirée par la radio à impulsions ultra-large bande, une nouvelle méthode théorique de synthèse du neurone destinée à être appliquée aux communications multiplexées par répartition en pointes dans un réseau neuronal artificiel à couplage d'impulsions est présentée. Un nouvel algorithme d'apprentissage heuristique du neurone permettant d'obtenir de meilleures performances de communication est également présenté. De plus, des comparaisons fondamentales avec les méthodes existantes de conception de séquences radio d'impulsions sont présentées.
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Tetsuro IGUCHI, Akira HIRATA, Hiroyuki TORIKAI, "Theoretical and Heuristic Synthesis of Digital Spiking Neurons for Spike-Pattern-Division Multiplexing" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 8, pp. 1486-1496, August 2010, doi: 10.1587/transfun.E93.A.1486.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1486/_p
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@ARTICLE{e93-a_8_1486,
author={Tetsuro IGUCHI, Akira HIRATA, Hiroyuki TORIKAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Theoretical and Heuristic Synthesis of Digital Spiking Neurons for Spike-Pattern-Division Multiplexing},
year={2010},
volume={E93-A},
number={8},
pages={1486-1496},
abstract={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.},
keywords={},
doi={10.1587/transfun.E93.A.1486},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Theoretical and Heuristic Synthesis of Digital Spiking Neurons for Spike-Pattern-Division Multiplexing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1486
EP - 1496
AU - Tetsuro IGUCHI
AU - Akira HIRATA
AU - Hiroyuki TORIKAI
PY - 2010
DO - 10.1587/transfun.E93.A.1486
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2010
AB - 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.
ER -