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.

Server stats:

218
active users

#netpyne

0 posts0 participants0 posts today
Ankur Sinha "FranciscoD"<p>Generated a quick plot to see usage trends for Open Source Brain v2 (<a href="https://fosstodon.org/tags/OSBv2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OSBv2</span></a>): an integrated <a href="https://fosstodon.org/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> platform for <a href="https://fosstodon.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuroscience</span></a> that indexes multiple model and data sources (<a href="https://fosstodon.org/tags/DANDI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DANDI</span></a>, <a href="https://fosstodon.org/tags/ModelDB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ModelDB</span></a>, <a href="https://fosstodon.org/tags/Biomodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Biomodels</span></a>, <a href="https://fosstodon.org/tags/Github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Github</span></a>) and provides compute resources on the <a href="https://fosstodon.org/tags/cloud" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cloud</span></a> in "workspaces". It also includes specialist applications: <a href="https://fosstodon.org/tags/NWBExplorer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NWBExplorer</span></a> for working with data in the NeuroData Without Borders (<a href="https://fosstodon.org/tags/NWB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NWB</span></a>) format; <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NetPyNE</span></a>-UI for biophysically detailed <a href="https://fosstodon.org/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalModelling</span></a> and a <a href="https://fosstodon.org/tags/JupyterLab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JupyterLab</span></a> environment.</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>A number of software tools are available for construction and simulation of models: <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> 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>