iqr is a simulator for large-scale multi-level neuronal systems that provides an efficient graphical environment for designing models that can control real-world devices - robots in the broader sense - in real-time.
The main features of iqr are:
  • Support for large-scale models
  • Harvest the power of connectivity
  • Graphical user interface for designing large-scale neuronal systems
  • On-line visualization and analysis of data
  • Connect neural models to real-world devices(cameras, microphones, pan-tilt system, robots)
  • Pre-defined neuron and synapse types
  • Open architecture for new neurons, synapses, and hardware interfaces
  • Open source
  • References

    iqr: A tool for the construction of multi-level simulations of brain and behaviour. Ulysses Bernardet and Paul F. M. J. Verschure. Neuroinformatics, 8:113--134, 06/2010 2010. [ bib | http ]

    iqr: Simulator for large scale neural systems. Ulysses Bernardet and Paul Verschure. CSN Book Series, Barcelona, Spain, 2013. [ bib ]