Volume 1, Issue 4, March 2015, Pages 312 - 315
Associative Memory with Class I and II Izhikevich Model
Yoshika Osawa, Takashi Kohno
Available Online 2 March 2015.
- 10.2991/jrnal.2015.1.4.12How to use a DOI?
- Spiking neural network, associative memory, Izhikevich model, Phase resetting curve, Hodgkin's classification
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.
- © 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 -