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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 인공 하위 임계값 진동 스파이킹 뉴런을 제시하고 입력 스파이크 트레인에 대한 반응 현상을 분석합니다. 또한, 다양한 스파이크 주파수를 갖는 입력 스파이크열에 대한 동기화를 달성하기 위한 뉴런의 동적 매개변수 업데이트 규칙을 제시한다. 분석적인 2차원 반환 맵을 사용하여 매개변수 업데이트 규칙의 로컬 안정성을 분석합니다. 또한, 뉴런의 펄스 결합 네트워크가 제시되고 기본적인 자기 조직 기능이 분석됩니다. 기본적인 비교도 제시되어 있습니다.
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부
Kai KINOSHITA, Hiroyuki TORIKAI, "A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 1, pp. 300-314, January 2011, doi: 10.1587/transfun.E94.A.300.
Abstract: In this paper, an artificial sub-threshold oscillating spiking neuron is presented and its response phenomena to an input spike-train are analyzed. In addition, a dynamic parameter update rule of the neuron for achieving synchronizations to the input spike-train having various spike frequencies is presented. Using an analytical two-dimensional return map, local stability of the parameter update rule is analyzed. Furthermore, a pulse-coupled network of the neurons is presented and its basic self-organizing function is analyzed. Fundamental comparisons are also presented.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.300/_p
부
@ARTICLE{e94-a_1_300,
author={Kai KINOSHITA, Hiroyuki TORIKAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons},
year={2011},
volume={E94-A},
number={1},
pages={300-314},
abstract={In this paper, an artificial sub-threshold oscillating spiking neuron is presented and its response phenomena to an input spike-train are analyzed. In addition, a dynamic parameter update rule of the neuron for achieving synchronizations to the input spike-train having various spike frequencies is presented. Using an analytical two-dimensional return map, local stability of the parameter update rule is analyzed. Furthermore, a pulse-coupled network of the neurons is presented and its basic self-organizing function is analyzed. Fundamental comparisons are also presented.},
keywords={},
doi={10.1587/transfun.E94.A.300},
ISSN={1745-1337},
month={January},}
부
TY - JOUR
TI - A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 300
EP - 314
AU - Kai KINOSHITA
AU - Hiroyuki TORIKAI
PY - 2011
DO - 10.1587/transfun.E94.A.300
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2011
AB - In this paper, an artificial sub-threshold oscillating spiking neuron is presented and its response phenomena to an input spike-train are analyzed. In addition, a dynamic parameter update rule of the neuron for achieving synchronizations to the input spike-train having various spike frequencies is presented. Using an analytical two-dimensional return map, local stability of the parameter update rule is analyzed. Furthermore, a pulse-coupled network of the neurons is presented and its basic self-organizing function is analyzed. Fundamental comparisons are also presented.
ER -