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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

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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

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#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

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

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

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