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#PaperThread

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Fabrice Tshimanga<p>1/n<br>Our pre-print is finally out!<br>Here's my first <a href="https://neuromatch.social/tags/paperthread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paperthread</span></a> 🧵<br>In this work, co-authors and I clustered ischaemic stroke patients profiles, and recovered common patterns of cognitive, sensorimotor damage.</p><p>...Historically many focal lesions to specific cortical areas were associated with specific distinction, but most strokes involve subcortical regions and bring multivariate patterns of deficits.<br>To characterize those patterns, many studies have turned to correlation analysis, factor analysis, PCA, focusing on the relations among variables==domains of impairments...</p><p><a href="https://www.medrxiv.org/content/10.1101/2023.11.08.23297808" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">medrxiv.org/content/10.1101/20</span><span class="invisible">23.11.08.23297808</span></a></p><p><a href="https://neuromatch.social/tags/stroke" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stroke</span></a> <a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://neuromatch.social/tags/clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clustering</span></a></p>
Ross Gayler<p><span class="h-card" translate="no"><a href="https://fediscience.org/@jkanev" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>jkanev</span></a></span> I follow <a href="https://aus.social/tags/NewPaper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NewPaper</span></a> OR <a href="https://aus.social/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a> OR <a href="https://aus.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> and it's *very* quiet.</p>
Iris van Rooij 💭<p>3 main take aways:</p><p>(1) Scientific inference cannot be automated or proceduralized.</p><p>(2) Not heeding the warning in (1) will necessarily limit our ability for scientific discovery and understanding.</p><p>(3) The only way not to limit scientific discovery is to allow for unbounded pluralism. </p><p>/end of <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a></p>
Iris van Rooij 💭<p>How hard is cognitive science?</p><p>🎬📽🍿 Video: <a href="https://m.youtube.com/watch?v=2bdK_zu1Ikw" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">m.youtube.com/watch?v=2bdK_zu1</span><span class="invisible">Ikw</span></a> </p><p>📖 Paper version: <a href="https://psyarxiv.com/k79nv/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">psyarxiv.com/k79nv/</span><span class="invisible"></span></a> </p><p>Summary in <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> below 🧵 1/n</p>
Jascha Achterberg<p>What happens when you give Recurrent Neural Networks brain-inspired constraints of 3D spatial structure &amp; neural communication during learning? </p><p>🧠🌐🤖</p><p>In our new project we show typical structural &amp; functional <a href="https://mastodon.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> motifs like modularity, small-worldness, functional clusters, mixed selectivity &amp; efficiency emerge in these spatially-embedded RNNs</p><p><a href="https://mastodon.social/tags/Preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Preprint</span></a><br><a href="https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.11.17.516914v1</span></a></p><p><a href="https://mastodon.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> / Summary <br><a href="https://www.jachterberg.com/seRNN" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">jachterberg.com/seRNN</span><span class="invisible"></span></a> </p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/neuralnetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetwork</span></a> <a href="https://mastodon.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a> <a href="https://mastodon.social/tags/RNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNN</span></a> <a href="https://mastodon.social/tags/newpaper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>newpaper</span></a> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/neuroscience" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neuroscience</span></a></span></p>