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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)1043-1048
Number of pages6
Publication statusPublished - 1 Jun 2002

Bibliographical note

Funding: Supported by SPP, Swiss National Science Foundation.


  • Behaviour
  • Distributed computing
  • Neural model
  • Real-time
  • Simulator


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