IQR: A distributed system for real-time real-world neuronal simulation

Ulysses Bernardet; Mark Blanchard; Paul F.M.J. Verschure

doi:10.1016/S0925-2312(02)00412-5

IQR: A distributed system for real-time real-world neuronal simulation

Ulysses Bernardet, Mark Blanchard, Paul F.M.J. Verschure^*

^*Corresponding author for this work

College of Engineering and Physical Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

IQR is a new simulator which allows neuronal models to control the behaviour of real-world devices in real-time. Data from several levels of description can be combined. IQR uses a distributed architecture to provide real-time processing. We present the key features of IQR and highlight successful projects which have used this simulator.

Original language	English
Pages (from-to)	1043-1048
Number of pages	6
Journal	Neurocomputing
Volume	44-46
DOIs	https://doi.org/10.1016/S0925-2312(02)00412-5
Publication status	Published - 1 Jun 2002

Bibliographical note

Funding: Supported by SPP, Swiss National Science Foundation.

Keywords

Behaviour
Distributed computing
Neural model
Real-time
Simulator

Access to Document

10.1016/S0925-2312(02)00412-5

Cite this

@article{d26633be511a481d9549c4075052d574,

title = "IQR: A distributed system for real-time real-world neuronal simulation",

abstract = "IQR is a new simulator which allows neuronal models to control the behaviour of real-world devices in real-time. Data from several levels of description can be combined. IQR uses a distributed architecture to provide real-time processing. We present the key features of IQR and highlight successful projects which have used this simulator.",

keywords = "Behaviour, Distributed computing, Neural model, Real-time, Simulator",

author = "Ulysses Bernardet and Mark Blanchard and Verschure, {Paul F.M.J.}",

note = "Funding: Supported by SPP, Swiss National Science Foundation.",

year = "2002",

month = jun,

day = "1",

doi = "10.1016/S0925-2312(02)00412-5",

language = "English",

volume = "44-46",

pages = "1043--1048",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier",

}

TY - JOUR

T1 - IQR: A distributed system for real-time real-world neuronal simulation

AU - Bernardet, Ulysses

AU - Blanchard, Mark

AU - Verschure, Paul F.M.J.

N1 - Funding: Supported by SPP, Swiss National Science Foundation.

PY - 2002/6/1

Y1 - 2002/6/1

N2 - IQR is a new simulator which allows neuronal models to control the behaviour of real-world devices in real-time. Data from several levels of description can be combined. IQR uses a distributed architecture to provide real-time processing. We present the key features of IQR and highlight successful projects which have used this simulator.

AB - IQR is a new simulator which allows neuronal models to control the behaviour of real-world devices in real-time. Data from several levels of description can be combined. IQR uses a distributed architecture to provide real-time processing. We present the key features of IQR and highlight successful projects which have used this simulator.

KW - Behaviour

KW - Distributed computing

KW - Neural model

KW - Real-time

KW - Simulator

UR - http://www.scopus.com/inward/record.url?scp=0036064363&partnerID=8YFLogxK

UR - https://www.sciencedirect.com/science/article/abs/pii/S0925231202004125?via%3Dihub

U2 - 10.1016/S0925-2312(02)00412-5

DO - 10.1016/S0925-2312(02)00412-5

M3 - Article

AN - SCOPUS:0036064363

SN - 0925-2312

VL - 44-46

SP - 1043

EP - 1048

JO - Neurocomputing

JF - Neurocomputing

ER -

IQR: A distributed system for real-time real-world neuronal simulation

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this