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#PyNN

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Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="tag">#<span>NeuroML</span></a> is participating in <a href="https://fosstodon.org/tags/GSoC2025" class="mention hashtag" rel="tag">#<span>GSoC2025</span></a> again this year under <span class="h-card" translate="no"><a href="https://neuromatch.social/@INCF" class="u-url mention">@<span>INCF</span></a></span> . We&#39;re looking for people with some experience of <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="tag">#<span>ComputationalNeuroscience</span></a> to work on developing <a href="https://fosstodon.org/tags/standardised" class="mention hashtag" rel="tag">#<span>standardised</span></a> biophysically detailed computational models using <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="tag">#<span>NeuroML</span></a> <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="tag">#<span>PyNN</span></a> and <a href="https://fosstodon.org/tags/OpenSourceBrain" class="mention hashtag" rel="tag">#<span>OpenSourceBrain</span></a>. </p><p>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.</p><p><a href="https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">docs.neuroml.org/NeuroMLOrg/Ou</span><span class="invisible">treachTraining.html#google-summer-of-code</span></a> </p><p>CC <a href="https://fosstodon.org/tags/AcademicChatter" class="mention hashtag" rel="tag">#<span>AcademicChatter</span></a></p>
Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="tag">#<span>NeuroML</span></a> supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (<a href="https://fosstodon.org/tags/pyNeuroML" class="mention hashtag" rel="tag">#<span>pyNeuroML</span></a>, <a href="https://fosstodon.org/tags/neuroConstruct" class="mention hashtag" rel="tag">#<span>neuroConstruct</span></a>, <a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="tag">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="tag">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="tag">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/N2A" class="mention hashtag" rel="tag">#<span>N2A</span></a>), validating (pyNeuroML, <a href="https://fosstodon.org/tags/OMV" class="mention hashtag" rel="tag">#<span>OMV</span></a>, <a href="https://fosstodon.org/tags/SciUnit" class="mention hashtag" rel="tag">#<span>SciUnit</span></a>), visualising (pyNeuroML, <a href="https://fosstodon.org/tags/OSB" class="mention hashtag" rel="tag">#<span>OSB</span></a>, <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="tag">#<span>NeuroML</span></a>-DB), simulating (<a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="tag">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="tag">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/Brian" class="mention hashtag" rel="tag">#<span>Brian</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="tag">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/NEST" class="mention hashtag" rel="tag">#<span>NEST</span></a>, <a href="https://fosstodon.org/tags/MOOSE" class="mention hashtag" rel="tag">#<span>MOOSE</span></a>, <a href="https://fosstodon.org/tags/EDEN" class="mention hashtag" rel="tag">#<span>EDEN</span></a>), model fitting/optimisation (<a href="https://fosstodon.org/tags/NeuroTune" class="mention hashtag" rel="tag">#<span>NeuroTune</span></a>, <a href="https://fosstodon.org/tags/BluePyOpt" class="mention hashtag" rel="tag">#<span>BluePyOpt</span></a>, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, <a href="https://fosstodon.org/tags/NeuroMorpho" class="mention hashtag" rel="tag">#<span>NeuroMorpho</span></a>.org). 7/x</p>
Ankur Sinha "FranciscoD"<p>A number of software tools are available for construction and simulation of models: <a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="tag">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="tag">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/Brian" class="mention hashtag" rel="tag">#<span>Brian</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="tag">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/NEST" class="mention hashtag" rel="tag">#<span>NEST</span></a>, <a href="https://fosstodon.org/tags/MOOSE" class="mention hashtag" rel="tag">#<span>MOOSE</span></a>, <a href="https://fosstodon.org/tags/EDEN" class="mention hashtag" rel="tag">#<span>EDEN</span></a> 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</p>
Ankur Sinha "FranciscoD"<p>We&#39;re looking for candidates to work with us at <a href="https://fosstodon.org/tags/GSoC2023" class="mention hashtag" rel="tag">#<span>GSoC2023</span></a> on conversion of published <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="tag">#<span>ComputationalNeuroscience</span></a> models into <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="tag">#<span>NeuroML</span></a> and <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="tag">#<span>PyNN</span></a> standard formats. Please spread the word, and get in touch!</p><p><a href="https://neurostars.org/t/gsoc-2023-project-idea-21-1-open-brain-cross-simulator-large-scale-cortical-models-in-neuroml-and-pynn/24921" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">neurostars.org/t/gsoc-2023-pro</span><span class="invisible">ject-idea-21-1-open-brain-cross-simulator-large-scale-cortical-models-in-neuroml-and-pynn/24921</span></a></p><p><a href="https://fosstodon.org/tags/INCF" class="mention hashtag" rel="tag">#<span>INCF</span></a> <a href="https://fosstodon.org/tags/Standardisation" class="mention hashtag" rel="tag">#<span>Standardisation</span></a> <a href="https://fosstodon.org/tags/FAIR" class="mention hashtag" rel="tag">#<span>FAIR</span></a> <a href="https://fosstodon.org/tags/Neuroscience" class="mention hashtag" rel="tag">#<span>Neuroscience</span></a> <a href="https://fosstodon.org/tags/Replication" class="mention hashtag" rel="tag">#<span>Replication</span></a></p>
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