Journal of Robotics, Networking and Artificial Life

Volume 1, Issue 4, March 2015, Pages 312 - 315

Associative Memory with Class I and II Izhikevich Model

Authors
Yoshika Osawa, Takashi Kohno
Corresponding Author
Yoshika Osawa
Available Online 2 March 2015.
DOI
10.2991/jrnal.2015.1.4.12How to use a DOI?
Keywords
Spiking neural network, associative memory, Izhikevich model, Phase resetting curve, Hodgkin's classification
Abstract

Spiking neural network is a system that qualitatively reproduce the nervous system. It was shown in previous researches that the performance of associative memory task in all-to-all connected networks is higher when they are composed of Class II neurons than Class I neurons. The Izhikevich model in its Class II mode, however, does not have this performance boost. In this study, we focus on phase resetting curve as an index that reflects neuronal properties related to neuron classes in detail.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
1 - 4
Pages
312 - 315
Publication Date
2015/03/02
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2015.1.4.12How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yoshika Osawa
AU  - Takashi Kohno
PY  - 2015
DA  - 2015/03/02
TI  - Associative Memory with Class I and II Izhikevich Model
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 312
EP  - 315
VL  - 1
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.1.4.12
DO  - 10.2991/jrnal.2015.1.4.12
ID  - Osawa2015
ER  -