Outreach and training — NeuroML Documentation

#NeuroML is participating in #GSoC2025 again this year under @incforg.bsky.social . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain. 1/2

NeuroMorpho.Org - a centrally curated inventory of digitally reconstructed neurons and glia New dissertation using reconstructions from https://t.co/Z9UcYMaOZr: https://t.co/hnQHVGdjnG

... visualising (#pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, #NetPyNE), sharing and reusing of models (#OSB, NeuroML-DB, #NeuroMorpho.org). 11/x

#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (#pyNeuroML, #OMV, #SciUnit), .. 10/x

Figure showing the NeuroML logo surrounded by various software tools categorised in the different model development lifecycle.

A number of software tools are available for construction and simulation of models: #NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN etc.. These have their own features, styles, programming interfaces (APIs). 5/x