IEICE TRANSACTIONS on Fundamentals
Asynchronous Pulse Neural Network Model for VLSI Implementation
Summary :
An asynchronous pulse neural network model which is suitable for VLSI implementation is proposed. The model neuron can function as a coincidence detector as well as an integrator depending on its internal time-constant relative to the external one, and show complex dynamical behavior including chaotic responses. A network with the proposed neurons can process spatio-temporal coded information through dynamical cell assemblies with functional synaptic connections.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.9 pp.1853-1859
- Publication Date
- 1998/09/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and Its Applications)
- Category
- Neural Networks
Authors
Keyword
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Mitsuru HANAGATA, Yoshihiko HORIO, Kazuyuki AIHARA, "Asynchronous Pulse Neural Network Model for VLSI Implementation" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 9, pp. 1853-1859, September 1998, doi: .
Abstract: An asynchronous pulse neural network model which is suitable for VLSI implementation is proposed. The model neuron can function as a coincidence detector as well as an integrator depending on its internal time-constant relative to the external one, and show complex dynamical behavior including chaotic responses. A network with the proposed neurons can process spatio-temporal coded information through dynamical cell assemblies with functional synaptic connections.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_9_1853/_p
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@ARTICLE{e81-a_9_1853,
author={Mitsuru HANAGATA, Yoshihiko HORIO, Kazuyuki AIHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Asynchronous Pulse Neural Network Model for VLSI Implementation},
year={1998},
volume={E81-A},
number={9},
pages={1853-1859},
abstract={An asynchronous pulse neural network model which is suitable for VLSI implementation is proposed. The model neuron can function as a coincidence detector as well as an integrator depending on its internal time-constant relative to the external one, and show complex dynamical behavior including chaotic responses. A network with the proposed neurons can process spatio-temporal coded information through dynamical cell assemblies with functional synaptic connections.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Asynchronous Pulse Neural Network Model for VLSI Implementation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1853
EP - 1859
AU - Mitsuru HANAGATA
AU - Yoshihiko HORIO
AU - Kazuyuki AIHARA
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1998
AB - An asynchronous pulse neural network model which is suitable for VLSI implementation is proposed. The model neuron can function as a coincidence detector as well as an integrator depending on its internal time-constant relative to the external one, and show complex dynamical behavior including chaotic responses. A network with the proposed neurons can process spatio-temporal coded information through dynamical cell assemblies with functional synaptic connections.
ER -
English
