Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
eupolicy.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
This Mastodon server is a friendly and respectful discussion space for people working in areas related to EU policy. When you request to create an account, please tell us something about you.

Administered by:

Server stats:

215
active users

eupolicy.social: AboutProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.8

#neuroml

0 posts0 participants0 posts today
Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> is participating in <a href="https://fosstodon.org/tags/GSoC2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GSoC2025</span></a> again this year under <span class="h-card" translate="no"><a href="https://neuromatch.social/@INCF" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>INCF</span></a></span> . We're looking for people with some experience of <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalNeuroscience</span></a> to work on developing <a href="https://fosstodon.org/tags/standardised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>standardised</span></a> biophysically detailed computational models using <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyNN</span></a> and <a href="https://fosstodon.org/tags/OpenSourceBrain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<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" rel="nofollow noopener noreferrer" translate="no" target="_blank"><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="nofollow noopener noreferrer" target="_blank">#<span>AcademicChatter</span></a></p>
Ankur Sinha "FranciscoD"<p>Please see the paper for more details, and whether you’d like to use <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> in your work, or support NeuroML in your tools/modelling pipelines, please come speak to us on any of our communication channels. Full documentation on NeuroML is here at <a href="https://docs.neuroml.org" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">docs.neuroml.org</span><span class="invisible"></span></a> 9/9</p>
Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> is a global community initiative. It is developed by an elected Editorial Board and overseen by a Scientific Committee. All the software/documentation/models produced in NeuroML are completely Free/Open. In this way, NeuroML supports <a href="https://fosstodon.org/tags/FAIR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FAIR</span></a> (Findability, Accessibility, Interoperability, and Reusability) principles, thus promoting open, transparent and reproducible science. 8/x</p>
Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<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="nofollow noopener noreferrer" target="_blank">#<span>pyNeuroML</span></a>, <a href="https://fosstodon.org/tags/neuroConstruct" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuroConstruct</span></a>, <a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/N2A" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>N2A</span></a>), validating (pyNeuroML, <a href="https://fosstodon.org/tags/OMV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OMV</span></a>, <a href="https://fosstodon.org/tags/SciUnit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SciUnit</span></a>), visualising (pyNeuroML, <a href="https://fosstodon.org/tags/OSB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OSB</span></a>, <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a>-DB), simulating (<a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/Brian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Brian</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/NEST" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NEST</span></a>, <a href="https://fosstodon.org/tags/MOOSE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MOOSE</span></a>, <a href="https://fosstodon.org/tags/EDEN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EDEN</span></a>), model fitting/optimisation (<a href="https://fosstodon.org/tags/NeuroTune" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroTune</span></a>, <a href="https://fosstodon.org/tags/BluePyOpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BluePyOpt</span></a>, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, <a href="https://fosstodon.org/tags/NeuroMorpho" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroMorpho</span></a>.org). 7/x</p>
Ankur Sinha "FranciscoD"<p>You can also create new model elements if existing ones aren’t enough AND because <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> is designed to be modular and hierarchical, ALL model elements are independent and can be reused in any NeuroML models. See the full specification here: <a href="https://docs.neuroml.org/Userdocs/Specification.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">docs.neuroml.org/Userdocs/Spec</span><span class="invisible">ification.html</span></a> 6/x</p>
Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> provides a curated set of model elements for researchers to use. This includes simpler single compartment cells (integrate and fire, Izhikevich, and so on), but also bits required to build detailed multi-compartmental cells (Hodgkin Huxley and Kinetic scheme ionic conductances), synapse models, networks/projections, and network inputs such as spike trains and pulse generators.</p>
Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> provides a simulator independent standard and software tools. The idea is that researchers can use NeuroML to build their models, and these models will “just run” in any of the supported simulators. So, researchers only need to learn how to use NeuroML and then choose what simulator they want to run their model in. NeuroML-compliant tools will take care of the rest, “under the hood”. 4/x</p>
Ankur Sinha "FranciscoD"<p>We are very happy to provide a consolidated update on the <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> ecosystem in our <span class="h-card" translate="no"><a href="https://fediscience.org/@eLife" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>eLife</span></a></span> paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: <a href="https://doi.org/10.7554/eLife.95135.3" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.7554/eLife.95135.3</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuroML</span></a> is a standard and software ecosystem for data-driven biophysically detailed <a href="https://fosstodon.org/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalModelling</span></a> endorsed by the <span class="h-card" translate="no"><a href="https://neuromatch.social/@INCF" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>INCF</span></a></span> and CoMBINE, and includes a large community of users and software developers. </p><p><a href="https://fosstodon.org/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neuroscience</span></a> <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://fosstodon.org/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalModelling</span></a> 1/x</p>
ExploreLive feeds
About