Marian, Ioana and Reilly, Ronan and Mackey, Dana (2002) Efficient event-driven simulation of spiking neural networks. Other. UNSPECIFIED. (Unpublished)

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Abstract

We present a general event-driven algorithm for the efficient simulation of spiking neural networks. We focus in this paper on its application to self-organizing maps. Standard event-driven approaches to simulation can significantly reduce computational time, but only when network activity is relatively low. In this article, we propose several strategies to manage efficiently, large numbers of spiking events. The simulation scales well with the increase of the neural activity and is more biologically plausible than competing methods. Key-Words: - Event-driven simulation, spiking neurons, self-organizing maps.

Item Type:	Monograph (Other)
Keywords:	Event-driven simulation; spiking neurons; self-organizing maps;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	10450
Depositing User:	Prof. Ronan Reilly
Date Deposited:	23 Jan 2019 16:33
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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