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#computationalmodelling

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Fabrizio Musacchio<p>The <a href="https://sigmoid.social/tags/Izhikevichmodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Izhikevichmodel</span></a> is a powerful tool for simulating the <a href="https://sigmoid.social/tags/spiking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spiking</span></a> and bursting behavior of <a href="https://sigmoid.social/tags/neurons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neurons</span></a> with a remarkable balance between biological relevance and computational efficiency 💫 Here is a short introduction along with a <a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> implementation to simulate various types of <a href="https://sigmoid.social/tags/cortical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cortical</span></a> neurons, including regular spiking, fast spiking, and bursting neurons:</p><p>🌍 <a href="https://www.fabriziomusacchio.com/blog/2024-04-29-izhikevich_model/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">fabriziomusacchio.com/blog/202</span><span class="invisible">4-04-29-izhikevich_model/</span></a></p><p>Feel free to share and experiment with it ☺️</p><p><a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalModelling</span></a> <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalNeuroscience</span></a></p>
Daniele de Rigo<p>4/<br>A general issue concerns seductive <a href="https://hostux.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> black-box tools (or, equivalently, trending methods "inspired" by published works one doesn't really understand): easy to incur <a href="https://hostux.social/tags/overfitting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>overfitting</span></a>, which implies modelling not only the "signal" being studied in too few data, but also (or mostly) their useless noise.</p><p>Recursive: if we fall into the trap (no proper <a href="https://hostux.social/tags/validation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>validation</span></a>), our readers may be led to believe that these shortcuts have a chance to work, perpetuating anti-culture.</p><p><a href="https://hostux.social/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalModelling</span></a></p>
Daniele de Rigo<p>1/<br>A concerning post-publication exercise (which led the original flawed publication to <a href="https://hostux.social/tags/retraction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>retraction</span></a>) on how easy is for our "intuition" of <a href="https://hostux.social/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalModelling</span></a> to deceive ourselves and others</p><p>Here, "others" seem to include editors and some reviewers (whose expertise maybe was not directly in modelling) of a respected journal. Plus readers who cited a flawed work and propagated the flaw</p><p>Comments:<br><span class="h-card"><a href="https://neuromatch.social/@kordinglab" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kordinglab</span></a></span> - coauth. <span class="h-card"><a href="https://neuromatch.social/@tdverstynen" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tdverstynen</span></a></span><br><a href="https://neuromatch.social/@kordinglab/110155049278014769" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neuromatch.social/@kordinglab/</span><span class="invisible">110155049278014769</span></a></p><p><span class="h-card"><a href="https://fediscience.org/@erinnacland" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>erinnacland</span></a></span><br><a href="https://fediscience.org/@erinnacland/110514563951876284" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fediscience.org/@erinnacland/1</span><span class="invisible">10514563951876284</span></a></p>
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