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#pynn

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Ankur Sinha "FranciscoD"<p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener" 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" target="_blank">#<span>pyNeuroML</span></a>, <a href="https://fosstodon.org/tags/neuroConstruct" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroConstruct</span></a>, <a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/N2A" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>N2A</span></a>), validating (pyNeuroML, <a href="https://fosstodon.org/tags/OMV" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OMV</span></a>, <a href="https://fosstodon.org/tags/SciUnit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciUnit</span></a>), visualising (pyNeuroML, <a href="https://fosstodon.org/tags/OSB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OSB</span></a>, <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroML</span></a>-DB), simulating (<a href="https://fosstodon.org/tags/NEURON" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/Brian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brian</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/NEST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NEST</span></a>, <a href="https://fosstodon.org/tags/MOOSE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MOOSE</span></a>, <a href="https://fosstodon.org/tags/EDEN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EDEN</span></a>), model fitting/optimisation (<a href="https://fosstodon.org/tags/NeuroTune" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroTune</span></a>, <a href="https://fosstodon.org/tags/BluePyOpt" class="mention hashtag" rel="nofollow noopener" 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" 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" target="_blank">#<span>NEURON</span></a>, <a href="https://fosstodon.org/tags/NetPyNE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetPyNE</span></a>, <a href="https://fosstodon.org/tags/Brian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brian</span></a>, <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyNN</span></a>, <a href="https://fosstodon.org/tags/NEST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NEST</span></a>, <a href="https://fosstodon.org/tags/MOOSE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MOOSE</span></a>, <a href="https://fosstodon.org/tags/EDEN" class="mention hashtag" rel="nofollow noopener" 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>
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