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SueYeon Chung proslijedio/la je Tweet
My blogpost on how & why we use convolutional neural networks as a model of the visual system is probably the most read thing I've ever written and it's now been expanded & updated into a proper review article, complete with 136 references & 5 new figures! https://arxiv.org/abs/2001.07092 pic.twitter.com/xRqYKptTsF
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SueYeon Chung proslijedio/la je Tweet
Excited to post my preprint about RNNs, dynamics, and
#manifolds! https://www.biorxiv.org/content/10.1101/2019.12.19.883207v1.full.pdf … Here’s a quick#tweetprint explaining the main ideas: 1/10Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
SueYeon Chung proslijedio/la je Tweet
Interested in how neuroscience can inspire better AI? Come to NAISys, March 24-28 Abstracts (1 page) due Jan 10 registration https://bit.ly/2rVHr8l
@SuryaGanguli@KordingLab@tyrell_turing@SussilloDavid@ylecun@SebastianSeung@chelseabfinn@Numenta {Please RETWEET ME}pic.twitter.com/MmThOqpD65
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Thanks for coming to see our poster on untanglement of neural manifolds in speech systems
#NeurIPS2019! Had a blast collaborating with#intelAI and McDermott Lab at MIT@corystephenson@jenellefeather@hanlintang@JoshHMcDermott!https://twitter.com/IntelAIResearch/status/1204883652162838529 …
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SueYeon Chung proslijedio/la je Tweet
I am looking forward to
#NeurIPS2019! Let's remind ourselves to use scientific and empirical evidence to back our claims, and to be kind to each other and set a good example to current and future generations : )Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
SueYeon Chung proslijedio/la je Tweet
The last piece of work from my postdoc, which I am most proud of: how to split a populaton of neurons into ON and OFF. Elegant math and many experimental predictions
#PLOSCompBio: Functional diversity among sensory neurons from efficient coding principleshttps://dx.plos.org/10.1371/journal.pcbi.1007476 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
SueYeon Chung proslijedio/la je Tweet
New pub by grad students Salomon Muller
@muller_salomon and Abigail Zadina and Drs. Abbott and Sawtell. Check it out!https://www.cell.com/cell/fulltext/S0092-8674(19)31170-5 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
SueYeon Chung proslijedio/la je Tweet
I think an important part of life satisfaction is to find the things that really motivate you, and pursue then uncompromisingly. You won't do great work by constantly forcing yourself to do things that don't genuinely excite you.
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SueYeon Chung proslijedio/la je Tweet
Lovely explanations of the slicing problem by Jessica Lee. Basis of theories of machine learning from the 60s but originally due to 19th century Swiss mathematician Schlaflihttps://youtu.be/WE_FG_U92Ec
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SueYeon Chung proslijedio/la je Tweet
Novelty == value! Now out: our review of RL/ML algorithms that integrate value across novelty and external rewards to drive learning. Our take: this work informs why novelty representations manifest as they do in IT. Kudos to
@drew_jaegle & Vahid Mehrpour!https://authors.elsevier.com/a/1Zt6e3Q9h20XBM …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Neuro-ML Twitter: What's your favorite software/website to work on a poster with multiple collaborators simultaneously and remotely (ie Overleaf or a google doc, but for a poster)?
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SueYeon Chung proslijedio/la je Tweet
POSTDOCTORAL POSITION in my lab (Jazlab) at MIT to investigate the computational principles and neural mechanisms of inferential reasoning using cognitive maps in the hippocampus, entorhinal cortex, and other candidate brain areas. See more info at https://jazlab.org/postdoctoral-associate/ …
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SueYeon Chung proslijedio/la je Tweet
Our most recent work on “computation-through-dynamics.” We propose that cognitive control can be understood in terms of principles of motor control: 1) control, 2) simulation, and 3) estimation. Many thanks to
@EggerSeth, CJ Chang, Evan Remingtonhttps://www.nature.com/articles/s41593-019-0500-6 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
SueYeon Chung proslijedio/la je Tweet
ICML 2021 in SEOUL, KOREA! https://icml.cc/Conferences/2021 …
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SueYeon Chung proslijedio/la je Tweet
(neuro)scientists are increasingly waking up to the realities of the climate crisis, and are starting to take action as individuals and scientific communities. feel overwhelmed? not sure where to start? i've started a 'beginners guide' with resources:https://anneurai.net/2019/09/24/climate-action-for-neuroscientists-a-concrete-guide/ …
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SueYeon Chung proslijedio/la je Tweet
@HSompolinsky giving a nice talk on geometry & separability of perceptual manifolds (w@s_y_chung) including CNN & NHP data (from@doristsao lab), and wrapping up with how the brain may do few shot learning, despite technical difficulties (look at the mike!)#BernsteinConferencepic.twitter.com/UbhRurqiNE
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SueYeon Chung proslijedio/la je Tweet
Looking forward to our BCCN half-day workshop on "Neural computation through recurrent dynamics: from theory to experiment and back" with
@chethan@rajankdr@SussilloDavid@s_y_chung@JAlGallego Francesca Mastrogiuseppe. Berlin, Sep 17, 14:00@NNCN_Germany http://tiny.cc/qz3acz pic.twitter.com/h9vvimtPn6
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SueYeon Chung proslijedio/la je Tweet
New in
@eLife: Some images are easier to remember than others. Why? In addition to the 'spike pattern' coding scheme assoc. w/ identity, IT cortex also codes info. by spike numbers, and pop. response magnitude is a strong predictor of memorability.https://elifesciences.org/articles/47596Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
More RA positions available on the topic of structure and sequences in RNNs in the fall semester (and beyond)! Contact me if you are looking for a BA/MA thesis topic for the next year, or know someone who does!
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SueYeon Chung proslijedio/la je Tweet
New paper by
@SamNormanH, Nancy Kanwisher, me, and Bevil Conway: https://rdcu.be/bGemH The key finding: fMRI maps of frequency selectivity are comparably robust in humans and macaques, but response preferences for harmonic tones over noise are much stronger in humans.pic.twitter.com/MN1eUYbZkO
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