Ankur Sinha "FranciscoD"Mar 5

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

Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.

https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code

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Outreach and training — NeuroML Documentation

Show threadAnkur Sinha "FranciscoD"Jan 28
#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), 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). 7/x
Show threadAnkur Sinha "FranciscoD"Jan 28
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). This is great but it also means that researchers need to learn each of these individually to use them. It also means that tools and models developed for one don’t necessarily work for others and need to be manually converted. This is often a non-trivial task and limits model reuse. 3/x
Ankur Sinha "FranciscoD"Feb 24, 2023

We're looking for candidates to work with us at #GSoC2023 on conversion of published #ComputationalNeuroscience models into #NeuroML and #PyNN standard formats. Please spread the word, and get in touch!

https://neurostars.org/t/gsoc-2023-project-idea-21-1-open-brain-cross-simulator-large-scale-cortical-models-in-neuroml-and-pynn/24921

#INCF #Standardisation #FAIR #Neuroscience #Replication

GSoC 2023 Project Idea 21.1 Open Brain cross simulator, large scale cortical models in NeuroML and PyNN

Title: Open source, cross simulator, large scale cortical models in NeuroML and PyNN Description: An increasing number of studies are using large scale network models incorporating realistic connectivity to understand information processing in cortical structures. High performance computational resources are becoming more widely available to computational neuroscientists for this type of modelling and general purpose, well tested simulation environments such as NEURON and NEST are widely used....

Neurostars