Response of a Chaotic Spiking Neuron to Various Periodic Inputs and Its Potential Applications
Summary :
In this paper a chaotic spiking neuron is presented and its response characteristics to various periodic inputs are analyzed. A return map which can analytically describe the dynamics of the neuron is derived. Using the map, it is theoretically shown that a set of neurons can encode various periodic inputs into a set of spike-trains in such a way that a spike density of a summation of the spike-trains can approximate the waveform of the input. Based on the theoretical results, some potential applications of the presented neuron are also discussed. Using a prototype circuit, typical encoding functions of the neuron are confirmed by experimental measurements.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.8 pp.2053-2060
- Publication Date
- 2009/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E92.A.2053
- Type of Manuscript
- PAPER
- Category
- Nonlinear Problems
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Keyword
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Hiroyuki TORIKAI, Toru NISHIGAMI, "Response of a Chaotic Spiking Neuron to Various Periodic Inputs and Its Potential Applications" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 8, pp. 2053-2060, August 2009, doi: 10.1587/transfun.E92.A.2053.
Abstract: In this paper a chaotic spiking neuron is presented and its response characteristics to various periodic inputs are analyzed. A return map which can analytically describe the dynamics of the neuron is derived. Using the map, it is theoretically shown that a set of neurons can encode various periodic inputs into a set of spike-trains in such a way that a spike density of a summation of the spike-trains can approximate the waveform of the input. Based on the theoretical results, some potential applications of the presented neuron are also discussed. Using a prototype circuit, typical encoding functions of the neuron are confirmed by experimental measurements.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.2053/_p
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@ARTICLE{e92-a_8_2053,
author={Hiroyuki TORIKAI, Toru NISHIGAMI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Response of a Chaotic Spiking Neuron to Various Periodic Inputs and Its Potential Applications},
year={2009},
volume={E92-A},
number={8},
pages={2053-2060},
abstract={In this paper a chaotic spiking neuron is presented and its response characteristics to various periodic inputs are analyzed. A return map which can analytically describe the dynamics of the neuron is derived. Using the map, it is theoretically shown that a set of neurons can encode various periodic inputs into a set of spike-trains in such a way that a spike density of a summation of the spike-trains can approximate the waveform of the input. Based on the theoretical results, some potential applications of the presented neuron are also discussed. Using a prototype circuit, typical encoding functions of the neuron are confirmed by experimental measurements.},
keywords={},
doi={10.1587/transfun.E92.A.2053},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Response of a Chaotic Spiking Neuron to Various Periodic Inputs and Its Potential Applications
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2053
EP - 2060
AU - Hiroyuki TORIKAI
AU - Toru NISHIGAMI
PY - 2009
DO - 10.1587/transfun.E92.A.2053
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2009
AB - In this paper a chaotic spiking neuron is presented and its response characteristics to various periodic inputs are analyzed. A return map which can analytically describe the dynamics of the neuron is derived. Using the map, it is theoretically shown that a set of neurons can encode various periodic inputs into a set of spike-trains in such a way that a spike density of a summation of the spike-trains can approximate the waveform of the input. Based on the theoretical results, some potential applications of the presented neuron are also discussed. Using a prototype circuit, typical encoding functions of the neuron are confirmed by experimental measurements.
ER -
English
