Design of a Neural Network Chip for the Burst ID Model with Ability of Burst Firing
Summary :
In order to introduce the burst firing, a nerve-cell dynamic feature, we extend the Inverse function Delayed model (ID model), which is the neuron model with ability to oscillate and has powerful ability on the information processing. This dynamics is discussed for the relation with the functional role of the brain and is characterized by repeated patterns of closely spaced action potentials. It is expected that the additional new characteristics add extra functions to neural networks. Using the relation between the ID model and reduced Hodgkin-Huxley model, we propose the neuron model with ability of burst. The proposed model excelled the ID model in solving the N-Queen problem. Additionally, the prototype chip for the burst ID model is implemented and measured.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.4 pp.715-723
- Publication Date
- 2007/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.4.715
- Type of Manuscript
- Special Section PAPER (Special Section on Selected Papers from the 19th Workshop on Circuits and Systems in Karuizawa)
- Category
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Shinya SUENAGA, Yoshihiro HAYAKAWA, Koji NAKAJIMA, "Design of a Neural Network Chip for the Burst ID Model with Ability of Burst Firing" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 4, pp. 715-723, April 2007, doi: 10.1093/ietfec/e90-a.4.715.
Abstract: In order to introduce the burst firing, a nerve-cell dynamic feature, we extend the Inverse function Delayed model (ID model), which is the neuron model with ability to oscillate and has powerful ability on the information processing. This dynamics is discussed for the relation with the functional role of the brain and is characterized by repeated patterns of closely spaced action potentials. It is expected that the additional new characteristics add extra functions to neural networks. Using the relation between the ID model and reduced Hodgkin-Huxley model, we propose the neuron model with ability of burst. The proposed model excelled the ID model in solving the N-Queen problem. Additionally, the prototype chip for the burst ID model is implemented and measured.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.4.715/_p
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@ARTICLE{e90-a_4_715,
author={Shinya SUENAGA, Yoshihiro HAYAKAWA, Koji NAKAJIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Design of a Neural Network Chip for the Burst ID Model with Ability of Burst Firing},
year={2007},
volume={E90-A},
number={4},
pages={715-723},
abstract={In order to introduce the burst firing, a nerve-cell dynamic feature, we extend the Inverse function Delayed model (ID model), which is the neuron model with ability to oscillate and has powerful ability on the information processing. This dynamics is discussed for the relation with the functional role of the brain and is characterized by repeated patterns of closely spaced action potentials. It is expected that the additional new characteristics add extra functions to neural networks. Using the relation between the ID model and reduced Hodgkin-Huxley model, we propose the neuron model with ability of burst. The proposed model excelled the ID model in solving the N-Queen problem. Additionally, the prototype chip for the burst ID model is implemented and measured.},
keywords={},
doi={10.1093/ietfec/e90-a.4.715},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Design of a Neural Network Chip for the Burst ID Model with Ability of Burst Firing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 715
EP - 723
AU - Shinya SUENAGA
AU - Yoshihiro HAYAKAWA
AU - Koji NAKAJIMA
PY - 2007
DO - 10.1093/ietfec/e90-a.4.715
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2007
AB - In order to introduce the burst firing, a nerve-cell dynamic feature, we extend the Inverse function Delayed model (ID model), which is the neuron model with ability to oscillate and has powerful ability on the information processing. This dynamics is discussed for the relation with the functional role of the brain and is characterized by repeated patterns of closely spaced action potentials. It is expected that the additional new characteristics add extra functions to neural networks. Using the relation between the ID model and reduced Hodgkin-Huxley model, we propose the neuron model with ability of burst. The proposed model excelled the ID model in solving the N-Queen problem. Additionally, the prototype chip for the burst ID model is implemented and measured.
ER -
English
