PyNeuroML

PyNeuroML is a Python library that facilitates the creation, simulation, and analysis of complex neuronal models. It is part of the larger NeuroML project, which aims to standardize the description of neuron and network models. PyNeuroML allows researchers to define neuronal morphologies, ion channel dynamics, synaptic connections, and network structures using the NeuroML format.

The library provides a convenient interface for working with NeuroML files directly within a Python environment. Users can load existing NeuroML models, modify them, or create new ones from scratch. PyNeuroML leverages established simulation engines, such as NEURON and Arbor, to execute the defined models. This integration allows for efficient and accurate simulation of neural activity.

Beyond simulation, PyNeuroML offers tools for analyzing the resulting data. It can process simulation outputs, extract relevant information, and visualize neuronal behavior. This comprehensive workflow, from model definition to data analysis, makes PyNeuroML a valuable resource for computational neuroscience research. The library's open-source nature and active community contribute to its ongoing development and adoption within the field. Its primary goal is to promote model reproducibility and interoperability.