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Philo Sophies<p><a href="https://troet.cafe/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://troet.cafe/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Patrick</span></a> <a href="https://troet.cafe/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Krauß</span></a>: Building instructions for <a href="https://troet.cafe/tags/artificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificial</span></a> <a href="https://troet.cafe/tags/consciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>consciousness</span></a></p><p>Transferring the various stages of <a href="https://troet.cafe/tags/Damasio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Damasio</span></a>'s <a href="https://troet.cafe/tags/theory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theory</span></a> of consciousness 1:1 into concrete <a href="https://troet.cafe/tags/schematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>schematics</span></a> for <a href="https://troet.cafe/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://troet.cafe/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> connections, <a href="https://troet.cafe/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recurrent</span></a> <a href="https://troet.cafe/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>connections</span></a> in the form of <a href="https://troet.cafe/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reinforcement</span></a> learning and <a href="https://troet.cafe/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>unsupervised</span></a> <a href="https://troet.cafe/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> are used to simulate the <a href="https://troet.cafe/tags/biological" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biological</span></a> <a href="https://troet.cafe/tags/processes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>processes</span></a> of the <a href="https://troet.cafe/tags/neuronal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuronal</span></a> <a href="https://troet.cafe/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>networks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://troet.cafe/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zoomposium</span></a> mit Dr. <a href="https://troet.cafe/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Patrick</span></a> <a href="https://troet.cafe/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Krauß</span></a>: „Bauanleitung <a href="https://troet.cafe/tags/K%C3%BCnstliches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Künstliches</span></a> <a href="https://troet.cafe/tags/Bewusstsein" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bewusstsein</span></a>“</p><p>Die verschiedenen Stufen von <a href="https://troet.cafe/tags/Damasios" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Damasios</span></a> <a href="https://troet.cafe/tags/Theorie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Theorie</span></a> des Bewusstseins 1:1 in konkrete <a href="https://troet.cafe/tags/Schaltpl%C3%A4ne" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schaltpläne</span></a> für ein <a href="https://troet.cafe/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> zu überführen. Hierzu werden Strategien wie <a href="https://troet.cafe/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> connections, <a href="https://troet.cafe/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recurrent</span></a> <a href="https://troet.cafe/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>connections</span></a> in Form von <a href="https://troet.cafe/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reinforcement</span></a> learning und <a href="https://troet.cafe/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>unsupervised</span></a> learning angewendet, um die <a href="https://troet.cafe/tags/biologischen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biologischen</span></a> <a href="https://troet.cafe/tags/Prozesse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Prozesse</span></a> der <a href="https://troet.cafe/tags/neuronalen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuronalen</span></a> <a href="https://troet.cafe/tags/Netze" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Netze</span></a> zu simulieren. </p><p>Mehr auf: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>oder: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://planetearth.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Patrick</span></a> <a href="https://planetearth.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Krauß</span></a>: Building instructions for <a href="https://planetearth.social/tags/artificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificial</span></a> <a href="https://planetearth.social/tags/consciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>consciousness</span></a></p><p>Transferring the various stages of <a href="https://planetearth.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Damasio</span></a>'s <a href="https://planetearth.social/tags/theory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theory</span></a> of consciousness 1:1 into concrete <a href="https://planetearth.social/tags/schematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>schematics</span></a> for <a href="https://planetearth.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://planetearth.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> connections, <a href="https://planetearth.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recurrent</span></a> <a href="https://planetearth.social/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>connections</span></a> in the form of <a href="https://planetearth.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reinforcement</span></a> learning and <a href="https://planetearth.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>unsupervised</span></a> <a href="https://planetearth.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> are used to simulate the <a href="https://planetearth.social/tags/biological" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biological</span></a> <a href="https://planetearth.social/tags/processes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>processes</span></a> of the <a href="https://planetearth.social/tags/neuronal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuronal</span></a> <a href="https://planetearth.social/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>networks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zoomposium</span></a> mit Dr. <a href="https://planetearth.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Patrick</span></a> <a href="https://planetearth.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Krauß</span></a>: „Bauanleitung <a href="https://planetearth.social/tags/K%C3%BCnstliches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Künstliches</span></a> <a href="https://planetearth.social/tags/Bewusstsein" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bewusstsein</span></a>“</p><p>Die verschiedenen Stufen von <a href="https://planetearth.social/tags/Damasios" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Damasios</span></a> <a href="https://planetearth.social/tags/Theorie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Theorie</span></a> des Bewusstseins 1:1 in konkrete <a href="https://planetearth.social/tags/Schaltpl%C3%A4ne" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schaltpläne</span></a> für ein <a href="https://planetearth.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> zu überführen. Hierzu werden Strategien wie <a href="https://planetearth.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> connections, <a href="https://planetearth.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recurrent</span></a> <a href="https://planetearth.social/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>connections</span></a> in Form von <a href="https://planetearth.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reinforcement</span></a> learning und <a href="https://planetearth.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>unsupervised</span></a> learning angewendet, um die <a href="https://planetearth.social/tags/biologischen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biologischen</span></a> <a href="https://planetearth.social/tags/Prozesse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Prozesse</span></a> der <a href="https://planetearth.social/tags/neuronalen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuronalen</span></a> <a href="https://planetearth.social/tags/Netze" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Netze</span></a> zu simulieren. </p><p>Mehr auf: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>oder: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Kathryn Cramer 📚🎨<p>Collage, March 2019: "Gentlemen, it is the microbes who will have the last word." <a href="https://bsky.brid.gy/hashtag/collage" rel="nofollow noopener noreferrer" target="_blank">#collage</a> <a href="https://bsky.brid.gy/hashtag/collageart" rel="nofollow noopener noreferrer" target="_blank">#collageart</a> <a href="https://bsky.brid.gy/hashtag/bibliomancy" rel="nofollow noopener noreferrer" target="_blank">#bibliomancy</a> <a href="https://bsky.brid.gy/hashtag/art" rel="nofollow noopener noreferrer" target="_blank">#art</a> <a href="https://bsky.brid.gy/hashtag/feedforward" rel="nofollow noopener noreferrer" target="_blank">#feedforward</a></p>
RoundSparrow 🐦<p><span class="h-card" translate="no"><a href="https://mastodon.world/@paninid" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>paninid</span></a></span> <a href="https://mastodon.social/tags/ActuallyAutistic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ActuallyAutistic</span></a> </p><p>Thank You! Appreciate it! <a href="https://mastodon.social/tags/FeedForward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FeedForward</span></a> is cool!</p><p><a href="https://www.GutknechtAutism.org" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">GutknechtAutism.org</span><span class="invisible"></span></a></p>
Matt Willemsen<p>In a Striking Discovery, AI Shows Human-Like Memory Formation<br><a href="https://scitechdaily.com/in-a-striking-discovery-ai-shows-human-like-memory-formation/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">scitechdaily.com/in-a-striking</span><span class="invisible">-discovery-ai-shows-human-like-memory-formation/</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/human" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>human</span></a> <a href="https://mastodon.social/tags/brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brain</span></a> <a href="https://mastodon.social/tags/memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>memory</span></a> <a href="https://mastodon.social/tags/hippocampus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hippocampus</span></a> <a href="https://mastodon.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://mastodon.social/tags/FeedForward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FeedForward</span></a> <a href="https://mastodon.social/tags/Transformer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Transformer</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>Addendum 10</p><p>1 Wide Feedforward All You Need<br><a href="https://arxiv.org/abs/2309.01826" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2309.01826</span><span class="invisible"></span></a></p><p>* 2 non-embedding components in transformer architecture: attention; feed forward network<br>* attention captures interdependencies betw. words regardless of position<br>* FFN non-linearly transforms ea. input token independently<br>* FFN (sig. fract. parameters) highly redundant<br>* modest drop in accuracy removing FFN on decoder layers &amp; sharing single FFN across encoder</p><p><a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>transformers</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/attention" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>attention</span></a> <a href="https://mastodon.social/tags/FFN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FFN</span></a> <a href="https://mastodon.social/tags/FeedForward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FeedForward</span></a></p>
Elod Pal Csirmaz<p>A new type of <a href="https://fosstodon.org/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> and <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> 2/3</p><p>... Recent successes at one shot tasks where states changes become learning also point in this direction.</p><p>Free neural networks from being <a href="https://fosstodon.org/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a>. Genetic algorithms come to mind for training, but we'd need a suitable base structure that supports gene exchanges &amp; some kind of recursion for repeated structures.</p><p>Another idea is to use backpropagation to develop a new learning method, just like when a <a href="https://fosstodon.org/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> language or manufacturing...</p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>Absorbing Phase Transitions in Artificial Deep Neural Networks<br><a href="https://arxiv.org/abs/2307.02284" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2307.02284</span><span class="invisible"></span></a></p><p>To summarize, we believe that the this work places the order-to-chaos transition in the initialized artificial deep neural networks in the broader context of absorbing phase transitions, &amp; serves as the first step toward the systematic comparison between natural/biological &amp; artificial neural networks.<br>...</p><p><a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/MeanFieldTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MeanFieldTheory</span></a> <a href="https://mastodon.social/tags/SignalPropagation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SignalPropagation</span></a> <a href="https://mastodon.social/tags/PhaseTransitions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhaseTransitions</span></a> <a href="https://mastodon.social/tags/backpropagation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>backpropagation</span></a> <a href="https://mastodon.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a></p>
Phil McAleer<p>Colleagues get surprised when I say I enjoy “marking” and I always think that is because their focus is wrong; I see it as “giving feedback and feedforward” rather than just marking or grading. This blog has many excellent tips on providing effective <a href="https://mastodon.social/tags/feedback" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedback</span></a> and <a href="https://mastodon.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> - despite the clunky name. I think seeing the process for what it really is could help lecturers get more out of it. <a href="https://mastodon.social/tags/SoTL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SoTL</span></a></p><p><a href="https://www.facultyfocus.com/articles/educational-assessment/ten-tips-efficient-effective-grading/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">facultyfocus.com/articles/educ</span><span class="invisible">ational-assessment/ten-tips-efficient-effective-grading/</span></a></p>
The vOICe vision BCI 🧠🇪🇺<p>Distinct early and late neural mechanisms regulate feature-specific sensory adaptation in the human visual system <a href="https://www.pnas.org/doi/10.1073/pnas.2216192120" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">pnas.org/doi/10.1073/pnas.2216</span><span class="invisible">192120</span></a> fatigue and sharpening "at different points in the sensory processing cascade, likely reflecting distinct <a href="https://mas.to/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> and <a href="https://mas.to/tags/feedback" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedback</span></a> interactions"; <a href="https://mas.to/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuroscience</span></a></p>
antonio vergari<p><span class="h-card"><a href="https://mastodon.social/@mathieualain" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mathieualain</span></a></span> <span class="h-card"><a href="https://mastodon.social/@emtiyaz" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>emtiyaz</span></a></span> computing marginals can be done in a single <a href="https://mastodon.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> pass of the <a href="https://mastodon.social/tags/circuit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>circuit</span></a>!</p><p>another way to see what a circuit coming from a <a href="https://mastodon.social/tags/PGM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PGM</span></a> is: a data <a href="https://mastodon.social/tags/structure" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>structure</span></a> that compactly encodes the trace of the sum-product algorithm. <a href="https://mastodon.social/tags/dynamic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dynamic</span></a> <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a></p>