NeuroML hackathons, updated documentation and Research Topic on Large-Scale Brain Modelling

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Padraig Gleeson

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2021年3月19日 清晨6:55:332021/3/19
收件者:neuroml-t...@lists.sourceforge.net、neurale...@googlegroups.com

Dear all,

NeuroML hackathons at HARMONY 2021

We will be running 3 online NeuroML hackathon sessions during the HARMONY 2021 meeting next week on 23-25th March. These hackathons will give members of the modelling community the chance to: get high level introductions to the NeuroML language and toolchain; meet the NeuroML core development team and editors; find out the latest information on which simulators/applications support NeuroML; open, discuss and work on issues related to converting your model to NeuroML, or supporting NeuroML in your simulator; learn how to share your models with the community.

More details on how to register and join the sessions can be found here.

Updated NeuroML documentation

The documentation for NeuroML has been extensively updated here: https://docs.neuroml.org, to cover how to find, create and use NeuroML models, the language specification, the organisation of the initiative, and the growing range of simulators, libraries and databases which support the language.

Research Topic on: Neuroinformatics of Large-Scale Brain Modelling

The deadline for abstracts for this Research Topic is fast approaching (Mar 26th). The Topic aims to cover the various ways in which neuroinformatics approaches are being applied in large-scale brain modelling, informing readers on both established practices and emerging techniques. We are seeking Original Research, Review, Mini-Review, Hypothesis and Theory, Perspective, and Opinion articles in this subject area.

More details and information on abstract submission can be found at https://www.frontiersin.org/research-topics/16641/neuroinformatics-of-large-scale-brain-modelling

Regards,

Padraig


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Padraig Gleeson
Room 321, Anatomy Building
Department of Neuroscience, Physiology&  Pharmacology
University College London
Gower Street
London WC1E 6BT
United Kingdom

+44 207 679 3214
p.gl...@ucl.ac.uk
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