NeuroML

NeuroML is an international standard, an XML-based markup language, used for describing models of neuronal cells and networks, facilitating their exchange and reuse. It aims to provide a common format for computational neuroscience models, allowing researchers to share and collaborate more effectively.

NeuroML can represent a wide range of neuronal models, from single-compartment integrate-and-fire neurons to detailed multicompartment models with biophysical properties. It can also describe networks of neurons, including their connectivity patterns and synaptic properties.

The development of NeuroML is driven by the need for reproducible and reusable computational models in neuroscience. By providing a standardized format, NeuroML promotes transparency and allows researchers to validate and build upon each other's work. It is closely linked to other standards initiatives in computational neuroscience, such as SBML (Systems Biology Markup Language) and SED-ML (Simulation Experiment Description Markup Language).

Key features of NeuroML include:

• Standardized representation: Provides a consistent way to describe neuronal models, regardless of their complexity.
• Modularity: Allows models to be built from reusable components.
• Extensibility: Can be extended to accommodate new types of models and data.
• Interoperability: Facilitates the exchange of models between different simulation platforms.

NeuroML is supported by a growing community of researchers and developers who contribute to its ongoing development and maintenance. The specification is freely available and open source, promoting wider adoption and usage within the neuroscience community. The use of NeuroML aims to improve the reproducibility, reusability, and collaborative potential of computational neuroscience research.