NDLI: Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs

Content Provider	Springer Nature Link
Author	Fidjeland, Andreas K. Gamez, David Shanahan, Murray P. Lazdins, Edgars
Copyright Year	2012
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.
Starting Page	267
Ending Page	290
Page Count	24
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	11
Issue Number	3
e-ISSN	15590089
Language	English
Publisher	Springer US
Publisher Date	2012-12-30
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Simulation 3D visualization Spike encoding Robotics Spiking neural networks iCub GPU Neurosciences Bioinformatics Computational Biology/Bioinformatics Computer Application in Life Sciences Neurology
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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