Three tools for the real-time simulation of embodied spiking neural networks using GPUs

Article

Fidjeland, A., Gamez, D., Shanahan, M. and Lazdins, E. 2013. Three tools for the real-time simulation of embodied spiking neural networks using GPUs. Neuroinformatics. 11 (3), pp. 267-290. https://doi.org/10.1007/s12021-012-9174-x
TypeArticle
TitleThree tools for the real-time simulation of embodied spiking neural networks using GPUs
AuthorsFidjeland, A., Gamez, D., Shanahan, M. and Lazdins, E.
Abstract

This paper presents a toolbox of solutions that enable the user to construct biologically-inspired spiking neural networks with tens of thousands of neurons and millions of connections that can be simulated in real time, visualized in 3D and connected to robots and other devices. NeMo is a high performance simulator that works with a variety of neural and oscillator models and performs parallel simulations on either GPUs or multi-core processors. SpikeStream is a visualization and analysis environment that works with NeMo and can construct networks, store them in a database and visualize their activity in 3D. The iSpike library provides biologically-inspired conversion between real data and spike representations to support work with robots, such as the iCub. Each of the tools described in this paper can be used independently with other software, and they also work well together.

KeywordsSimulation; 3D visualization; Spike encoding; Robotics; Spiking neural networks; iCub; GPU
PublisherSpringer
JournalNeuroinformatics
ISSN1539-2791
Electronic1559-0089
Publication dates
Online30 Dec 2012
PrintJul 2013
Publication process dates
Deposited21 Sep 2023
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/s12021-012-9174-x
Web of Science identifierWOS:000322259300002
LanguageEnglish
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