Getting started with NeuroML

The best way to understand NeuroML is to work through NeuroML examples to see how they are constructed and what they can do. We present below a set of step-by-step guides to illustrate how models are written and simulated using NeuroML.

Link to guide	Description	Model life cycle stages
	Introductory guides
Guide 1	Create and simulate a simple regular spiking Izhikevich neuron in NeuroML	Create, Validate, Simulate
Guide 2	Create a network of two synaptically connected populations of Izhikevich neurons	Create, Validate, Visualise, Simulate
Guide 3	Build and simulate a single compartment Hodgkin-Huxley neuron	Create, Validate, Visualise, Simulate
Guide 4	Create and simulate a multi compartment hippocampal OLM neuron	Create, Validate, Visualise, Simulate
	Advanced guides
Guide 5	Create novel NeuroML models from components on NeuroML-DB	Reuse, Create, Validate, Simulate
Guide 6	Optimise/fit NeuroML models to experimental data	Create, Validate, Simulate, Fit
Guide 7	Extend NeuroML by creating a novel model type in LEMS	Create, Simulate
	Step by step walkthroughs
Guide 8	Guide to converting cell models to NeuroML and sharing them on Open Source Brain	Create, Validate, Simulate, Share
Guide 9	Conversion of Ray et al 2020 [RAS20] to NeuroML	Create, Validate, Visualise, Simulate, Extend using LEMS

You do not need to install any software on your computers to run many of the examples above. These examples are followed by a Jupyter notebook for you to experiment with inside your browser (more info).