Associative Memory with Class I and II Izhikevich Model

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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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  -