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Amazing work, congrats
@bsauerbrei1!!https://twitter.com/bsauerbrei1/status/1209898445596766208 …
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You'd think a generative model should answer different queries but deep learning models like VAEs are trained to answer just one type of query! We introduce a method called query-training that creates an inference network that can answer novel query types. https://openreview.net/pdf?id=rJeoKJ3NKr …pic.twitter.com/SVR0kxpwQJ
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1/ SciTwitter: I'm very excited to share our new Perspective article out in Nature Neuroscience today!https://www.nature.com/articles/s41593-019-0520-2 …
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Our 2nd
#CCN2019 paper introduces Memorize-Generalize, an algo for fast and flexible learning of sequential structure: it can rapidly memorize sequences as they are encountered, and gradually generalize as more data is accumulated.@vicariousai https://www.biorxiv.org/content/10.1101/764456v1 …pic.twitter.com/mJ7KgoNKYG
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The preprint of my commentary on 'Building machines that work like the brain' is now on arxiv. It distinguishes between AGI & AUI and uses 'airplanes don't flap wings' as the reason to look to the brain for building
#AGI https://arxiv.org/abs/1909.01561 pic.twitter.com/2O5U1Bvxt4
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A Mathematician's Way* of Converting Miles to Kilometers • 1 mi ≈ 1.609 km • The ratio of consecutive Fibonacci numbers Fₙ₊₁/Fₙ tends to the golden ratio φ ≈ 1.618 as n increases So Fₙ mi ≈ Fₙ₊₁ km *This is how I do it
pic.twitter.com/Jbuwj6rDC1
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Our
#CCN2019 paper proposes a new model for cognitive maps in the hippocampus which involves learning higher-order graphs of event sequences. It can explain flexible planning, route-dependence of place cells, and subsumes successor representations. https://www.biorxiv.org/content/10.1101/745950v1?rss=1 …pic.twitter.com/KASM6l6RBK
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Fantastic article, highly recommend reading.https://twitter.com/DeepMind/status/1158727880878301184 …
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like what you hear? we are hiring neuroscientists! https://jobs.lever.co/neuralink/2fb71f1c-bec1-44fb-b3ff-f10ecdb04400 … your biological and technological distinctiveness will be added to our own
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PUBLIC SERVICE ANNOUNCEMENT: You must cross-validate sorted plots!! E.g. peak-latency sorted colormaps of neural activity. Otherwise you WILL find "sequences" out of random noise. Don't believe me? A proof in four lines. Anyone feel like you have seen the last panel before?pic.twitter.com/Fbb4jLKORE
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Imagine if this happened to you

pic.twitter.com/cVruzuvTaJGuy Gets Hugs & Kisses From Wild GorillasHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Anecdotally, this kind of thing probably has some value for neuroscience too: http://web.mit.edu/amarbles/www/neuro_word2vec.html …https://twitter.com/SteveStuWill/status/1146941851309494272 …
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This is excellent work!https://twitter.com/DeepSpiker/status/1143504719719124993 …
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The special issue on 'Machine Learning, Big Data and Neuroscience' in Current Opinion is out now, with lots of interesting articles (and ours with
@arimorcos and@dgtbarrett...) -- thanks@jpillowtime and Maneesh Sahani for organizing this! https://www.sciencedirect.com/journal/current-opinion-in-neurobiology/vol/55/suppl/C …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Wow, the thalamus is the center of the brain!https://science.sciencemag.org/content/364/6444/987 …
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The first application of our latest theory of object manifolds on DCNNs is online. We characterize how ImageNet-based object manifolds untangle across layers of DCNNs, by connecting the changes in object manifold's geometry and the resultant improvement in manifold capacity.https://twitter.com/HSompolinsky/status/1136311424161071104 …
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@OfficialCSA you have been breaking my heart since 1999Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Time to rewrite the neuroscience textbook - VTA dopamine neurons encode much more than reward prediction error!https://www.nature.com/articles/s41586-019-1261-9 …
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