iqr is an advanced simulation software that enables users to graphically design and manage complex neuronal models on a large scale. With its intuitive interface and powerful control tools, iqr offers an ideal solution for researchers and scientists working in the field of neural modeling and simulation.
Iqr is a powerful simulation system designed specifically for creating and controlling sophisticated neural models. With an intuitive graphical user interface, users can easily design and execute large-scale neural network simulations, while dynamically adjusting key parameters during runtime.
A standout feature of iqr is its use of flexible yet simple connectivity patterns, which form the basis of any effective neural model. This is complemented by the browser on the left-hand side of the main window, which offers quick access to all model elements and allows users to save or print their diagrams.
To further enhance the user experience, iqr provides a range of tools for monitoring and interacting with the various elements of the model. Frequency and duration sampling are included, and elements can be easily saved via the Data Sampler.
Another major advantage of iqr is its use of a model format based on the widely-used XML standard. This allows models created within iqr to be easily transformed to other description grammars for neuronal models.
Finally, iqr comes complete with a range of pre-defined hardware interfaces, including support for Khepera and Koala robots, Lego MindStorms, and the blimp robot used in the AMOTH project. Modules can be run synchronized or independently, offering unprecedented levels of control over any simulation.
Thanks to its powerful capabilities and real-time control of robots, iqr is an ideal choice for anyone looking to create and test complex neural models.
A standout feature of iqr is its use of flexible yet simple connectivity patterns, which form the basis of any effective neural model. This is complemented by the browser on the left-hand side of the main window, which offers quick access to all model elements and allows users to save or print their diagrams.
To further enhance the user experience, iqr provides a range of tools for monitoring and interacting with the various elements of the model. Frequency and duration sampling are included, and elements can be easily saved via the Data Sampler.
Another major advantage of iqr is its use of a model format based on the widely-used XML standard. This allows models created within iqr to be easily transformed to other description grammars for neuronal models.
Finally, iqr comes complete with a range of pre-defined hardware interfaces, including support for Khepera and Koala robots, Lego MindStorms, and the blimp robot used in the AMOTH project. Modules can be run synchronized or independently, offering unprecedented levels of control over any simulation.
Thanks to its powerful capabilities and real-time control of robots, iqr is an ideal choice for anyone looking to create and test complex neural models.
What's New
Version 2.0.0: N/A