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PLOS Biology<p>Untangling the role of the two types of striatal <a href="https://fediscience.org/tags/dopamine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dopamine</span></a> neurons in <a href="https://fediscience.org/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a> has been challenging. This study shows that D2R neurons primarily govern WM under low cognitive load, while D1R neurons take over when cognitive load increases <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span> <a href="https://plos.io/4mfgx0s" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/4mfgx0s</span><span class="invisible"></span></a></p>
PLOS Biology<p><a href="https://fediscience.org/tags/Attention" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Attention</span></a> modulates sensory contents of <a href="https://fediscience.org/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a>, but what about motor contents? <span class="h-card" translate="no"><a href="https://mastodon.world/@irenetxeberria" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>irenetxeberria</span></a></span> &amp;co show that brain representations of both sensory &amp; motor contents of WM are modulated by attentional shifts, &amp; are temporally uncoupled <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span> <a href="https://plos.io/46bUrY8" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/46bUrY8</span><span class="invisible"></span></a></p>
PLOS Biology<p><a href="https://fediscience.org/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hippocampus</span></a> &amp; <a href="https://fediscience.org/tags/PFC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PFC</span></a> interact to support spatial <a href="https://fediscience.org/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a>, but are dHPC &amp; vHPC functionally redundant in this? This study shows that both regions contribute differentially to spatial WM &amp; coding of spatial info by PFC <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span> <a href="https://plos.io/4cXyddO" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/4cXyddO</span><span class="invisible"></span></a></p>
PLOS Biology<p>How do we hold information in our visual <a href="https://fediscience.org/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a> despite distractors? @Yaoda_Xu shows that human occipitotemporal &amp; posterior parietal cortices orthogonalize representations of different streams of info, whether targets or distractors <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PLOSBiology</span></a> <a href="https://plos.io/3Z7XHyq" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3Z7XHyq</span><span class="invisible"></span></a></p>
PLOS Biology<p>Beta-band <a href="https://fediscience.org/tags/oscillations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>oscillations</span></a> regulate maintenance &amp; deletion of <a href="https://fediscience.org/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a> representations in humans. This study shows that the WM performance of older adults can be predicted by beta-band neural variability during working memory deletion <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PLOSBiology</span></a> <a href="https://plos.io/3B8yw6y" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3B8yw6y</span><span class="invisible"></span></a></p>
PLOS Biology<p><a href="https://fediscience.org/tags/CrossFrequencyCoupling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CrossFrequencyCoupling</span></a> (CFC) in cortico-<a href="https://fediscience.org/tags/hippocampal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hippocampal</span></a> networks enables maintenance of multiple visuo-spatial items in <a href="https://fediscience.org/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a>. This study shows it also extends to <a href="https://fediscience.org/tags/auditory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>auditory</span></a> info, suggesting CFC as a global mechanism for information processing in the human brain <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PLOSBiology</span></a> <a href="https://plos.io/3uXjhe6" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3uXjhe6</span><span class="invisible"></span></a></p>
IT News<p>Corvids seem to handle temporary memories the way we do - Enlarge / A jackdaw tries to remember what color it was thinking of. (c... - <a href="https://arstechnica.com/?p=1992736" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arstechnica.com/?p=1992736</span><span class="invisible"></span></a> <a href="https://schleuss.online/tags/animalbehavior" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>animalbehavior</span></a> <a href="https://schleuss.online/tags/workingmemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>workingmemory</span></a> <a href="https://schleuss.online/tags/neurobiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neurobiology</span></a> <a href="https://schleuss.online/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://schleuss.online/tags/biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biology</span></a></p>
Fabrizio Musacchio<p>The neuronal implementation of representational geometry in primate prefrontal <a href="https://sigmoid.social/tags/cortex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cortex</span></a> – new work by Lin et al (2023):</p><p>🌍 <a href="https://www.science.org/doi/10.1126/sciadv.adh8685" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">science.org/doi/10.1126/sciadv</span><span class="invisible">.adh8685</span></a></p><p><a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/Memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Memory</span></a> <a href="https://sigmoid.social/tags/workingmemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>workingmemory</span></a> <a href="https://sigmoid.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a></p>
Fabrizio Musacchio<p>Representing context and priority in <a href="https://sigmoid.social/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a>: <a href="https://sigmoid.social/tags/RNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNN</span></a> represent first order context, that individuates an item, and higher-order context, that can change unpredictably, via distinct mechanisms – New <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a> by Wan et al. (2023)</p><p>🌍 <a href="https://www.biorxiv.org/content/10.1101/2023.10.24.563608v1" 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">23.10.24.563608v1</span></a></p><p><a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a></p>
Fabrizio Musacchio<p>Visual working memories are abstractions of percepts – New <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a> by Duan and Curtis (2023)</p><p>🌍 <a href="https://www.biorxiv.org/content/10.1101/2023.12.01.569634v1" 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">23.12.01.569634v1</span></a></p><p><a href="https://sigmoid.social/tags/Perception" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Perception</span></a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://sigmoid.social/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a> <a href="https://sigmoid.social/tags/VisualCortex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VisualCortex</span></a></p>
Danny Garside<p>Super sad that I can't be at <a href="https://social.coop/tags/VSS2023" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VSS2023</span></a> (<a href="https://social.coop/tags/visa" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>visa</span></a> issues), but do check out my poster - up this morning at Pavillion-451, being presented by my lovely co-authors ❤️ </p><p>"Working memory and the source of color categories in macaques"</p><p><a href="https://www.visionsciences.org/presentation/?id=5904" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">visionsciences.org/presentatio</span><span class="invisible">n/?id=5904</span></a></p><p><a href="https://social.coop/tags/ColorVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ColorVision</span></a> <a href="https://social.coop/tags/ColourVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ColourVision</span></a> <a href="https://social.coop/tags/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a> <a href="https://social.coop/tags/Color" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Color</span></a> <a href="https://social.coop/tags/Colour" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Colour</span></a></p>
Philipp Musfeld<p>Very excited that my first paper with Alessandra Souza and Klaus Oberauer is now published in <span class="h-card" translate="no"><a href="https://fediscience.org/@PNASNews" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PNASNews</span></a></span> </p><p>We investigated the mechanisms underlying repetition learning as a model system for the interaction between <a href="https://fediscience.org/tags/workingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>workingMemory</span></a> and <a href="https://fediscience.org/tags/longTermMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>longTermMemory</span></a>. By using a Bayesian hierarchical mixture modeling approach to model learning curves on the individual level, we reveal misconceptions in current theories which resulted from aggregating data over individuals.</p><p><a href="https://www.pnas.org/doi/full/10.1073/pnas.2218042120" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">pnas.org/doi/full/10.1073/pnas</span><span class="invisible">.2218042120</span></a></p>
Adel Ardalan<p><a href="https://neuromatch.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a><br>I am a postdoc at the Princeton Neuroscience Institute, working with Tim Buschman and my brilliant lab mates on transformational geometry in the brain. We ask what are various classes of transformations brains utilize to compute for different tasks, in different contexts and with different objectives. Our main tools consist of linear algebra, differential geometry and group theory. 📐<br><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/WorkingMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingMemory</span></a> <a href="https://neuromatch.social/tags/GroupTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GroupTheory</span></a> <a href="https://neuromatch.social/tags/BrainGeometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainGeometry</span></a> <a href="https://neuromatch.social/tags/Geometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Geometry</span></a></p>
Simon Gorin<p>Hi everyone!<br>I'm Simon, I'm from 🇧🇪 but I live in 🇨🇭 since a few years.<br>I have a PhD in psychology and did research on <a href="https://fosstodon.org/tags/workingmemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>workingmemory</span></a> and <a href="https://fosstodon.org/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>music</span></a> for 10 years.<br>I love data analysis and making nice visualizations in <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a>. I recently changed my career to get into <a href="https://fosstodon.org/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a>. I am now data scientist at the Swiss National Science Foundation.</p><p>I also blog about data analysis (<a href="https://gorinsimon.github.io/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">gorinsimon.github.io/</span><span class="invisible"></span></a>) and my first posts are on progressive music classification and video game review text analysis</p>