IEICE TRANSACTIONS on Fundamentals
Theoretical and Heuristic Synthesis of Digital Spiking Neurons for Spike-Pattern-Division Multiplexing
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.8 pp.1486-1496
- Publication Date
- 2010/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.1486
- Type of Manuscript
- PAPER
- Category
- Nonlinear Problems
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
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
Copy
@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},}
Copy
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 -
English
