Redwood Center for Theoretical Neuroscience @Redwood_Neuro
The Redwood Center for Theoretical Neuroscience is a group of faculty, postdocs and graduate students at UC Berkeley in the area of Neuroscience Theory. redwood.berkeley.edu Berkeley, CA Joined January 2018-
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NeurIPS is here! Come check out the NeurReps Workshop on Sat Dec 3, ft. invited talks by ⭐️ @TacoCohen ⭐️ Irina Higgins @DeepMind ⭐️ Bruno Olshausen @Redwood_Neuro ⭐️ @KrisTorpJensen ⭐️ @erikjbekkers ⭐️ @gkreiman + panels with @yuqirose & @manusmad 👉neurreps.org/schedule
Super super excited for my first day as a visiting researcher at @Redwood_Neuro. Will be here and living in the Bay area for the next 6+ months!
Congrats! We’re very excited about this workshop @NeurIPSConf
Congrats! We’re very excited about this workshop @NeurIPSConf
If you haven't already, scooch on over to our Seminars page to check out a recent talk by Jeff Hawkins and Subutai Ahmad on the Thousand Brains theory of intelligence: redwood.berkeley.edu/seminars/jeff-…
Exciting new research from recent RCTN grads @DylanPaiton, @charles_irl, and others on how neuroscience-inspired recurrent layers for image processing with sparse coding grant increased selectivity and robustness to adversarial inputs
Exciting new research from recent RCTN grads @DylanPaiton, @charles_irl, and others on how neuroscience-inspired recurrent layers for image processing with sparse coding grant increased selectivity and robustness to adversarial inputs
new paper with @DylanPaiton and others in @Redwood_Neuro now out in @ARVOJOV -- connecting ideas in visual neuroscience with adversarial robustness in deep learning check out this explainer, then read the paper!
new paper with @DylanPaiton and others in @Redwood_Neuro now out in @ARVOJOV -- connecting ideas in visual neuroscience with adversarial robustness in deep learning check out this explainer, then read the paper!
Preprint spotlight: Charles Frye (@charles_irl) et al. demonstrate a surprising weakness in critical point-finding methods used to support the "no bad local minima" hypothesis re: neural net losses. See🧵for a quick explainer, or dive deep🏊♀️in the paper: arxiv.org/abs/2003.10397
Preprint spotlight: Charles Frye (@charles_irl) et al. demonstrate a surprising weakness in critical point-finding methods used to support the "no bad local minima" hypothesis re: neural net losses. See🧵for a quick explainer, or dive deep🏊♀️in the paper: arxiv.org/abs/2003.10397
A special day in the Redwood Center as we host the thesis seminar of Yubei Chen!
Congratulations to Sylvia and Spencer who passed their qualifying exams this week! 🎉🎊
We are looking forward to hearing from our latest seminar speaker, @pkdouglas16, who is coming up from UCLA! Her talk on modeling latency and structural organization of connections in the brain is at noon tomorrow.
New preprint spotlight: Saeed Saremi and Aapo Hyvarinen develop a framework for density estimation and sampling based on a unification of kernel density and Empirical Bayes. You can read all about it on the arXiv: arxiv.org/abs/1903.02334
New preprint spotlight: Louis Kang and Mike DeWeese present an attractor network model of grid cells which exhibits replay and theta sequences. Sound interesting? Learn more here! biorxiv.org/content/10.110…
New preprint spotlight: Brian Cheung (@thisismyhat), Alex Terekhov, Yubei Chen (@Yubei_Chen), Pulkit Agrawal (@pulkitology) and Bruno Olshausen report a simple but effective technique for building neural networks that can solve many different tasks: arxiv.org/abs/1902.05522
New preprint spotlight: Charles Frye (@charles_irl), Neha Wadia, Mike DeWeese, and Kris Bouchard tell us about how to estimate the critical points of a deep linear autoencoder, complete with gotchas, tricks, and how this might be extended to other models. arxiv.org/abs/1901.10603
New preprint spotlight: Paxon Frady (@epaxon) and Fritz Sommer have developed a model of associative memory implemented in *sparsely* spiking neurons and in which stored memories persist as precisely-timed spike patterns. Check it out here: arxiv.org/abs/1901.07718
Looking forward to hearing how we can use biology to inspire the next generation of AI! #cosyne2019
Patrick Kaifosh from CRTL-labs demos non invasive neural interfaces for human augmentation.
Symmetry and Geometry.. @neur_reps
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SueYeon Chung @s_y_chung
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Charles 🎉 Frye @charles_irl
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Sophia Sanborn @naturecomputes
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CC @cccneuro
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DJ McCloskey @djmccl
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JNP @JNeurophysiol
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Bodica Septimiu @tbodica
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José Jaime Martínez.. @JJaimeMarti
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Luis Lopez @lopez_philos
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Symmetry and Geometry.. @neur_reps
3K Followers 1K Following NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! https://t.co/Run9wPnZt9
Google DeepMind @GoogleDeepMind
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Charles 🎉 Frye @charles_irl
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Sophia Sanborn @naturecomputes
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298K Followers 22K Following MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: [email protected]narrator: humanity wasn't at stake.
There are still big questions about why this happened, how much was due to petty personal issues/egos vs fundamental disagreements about the future of AI. It’s only humanity at stake. So let’s hope they figure it out. 🙏
Phrasing the findings of particular studies in that way is simply dishonest. It suggests to listeners a degree of robustness and replicability and generalizability that usually hasn’t been shown.
Thrilled to receive this honor. Thank you @pimsmath and @SimonsFdn!
Meet Sophia @naturecomputes from our lab🤩 sophiasanborn.com Sophia studies fascinating geometric properties of neural representations @neur_reps @ucsbcs She was just awarded the prestigious PIMS-Simons fellowship for her outstanding research in mathematical sciences!🏆
NeurIPS is here! Come check out the NeurReps Workshop on Sat Dec 3, ft. invited talks by ⭐️ @TacoCohen ⭐️ Irina Higgins @DeepMind ⭐️ Bruno Olshausen @Redwood_Neuro ⭐️ @KrisTorpJensen ⭐️ @erikjbekkers ⭐️ @gkreiman + panels with @yuqirose & @manusmad 👉neurreps.org/schedule
Shout out to everyone at the gallant lab and @Redwood_Neuro ! I definitely remember attending this lab meeting and being 🤯
@amli_art We've actually been able to do this for a while! youtube.com/watch?v=0o17Zw… The main thing that's changed (aside from generally bigger networks) is the quality of the image generation.
Paper out!!! #Drosophila has muscles that attach to their retinas, which it uses to move its photoreceptor sheet in ways that resemble vertebrate eye movements @Nature nature.com/articles/s4158…
For all young folks who are interested in intelligence, I highly recommend to study five subjects and understand how they are related: compressive sensing (sparse coding), information theory, control theory, game theory, and optimization. The rest is mostly realization...
Super super excited for my first day as a visiting researcher at @Redwood_Neuro. Will be here and living in the Bay area for the next 6+ months!
Great new work by @HongYeHu1 @Yubei_Chen Dian Wu, Yi-Zhuang You, Bruno Olshausen @Redwood_Neuro @berkeley_ai @cqs_lab - 'RG-Flow: a hierarchical and explainable #flow model based on #renormalization group and sparse prior' - bit.ly/3vB90kM #machinelearning #AI #images
📣 Announcing 📣 💥 The NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations💥 (NeurReps 😉) neurreps.org We're bringing a killer lineup to NeurIPS this year — spanning GDL, applied geometry, and neuroscience. See our call for papers below 👇
Our workshop on Symmetry and Geometry in Neural Representations has been accepted to @NeurIPSConf 2022! We've put together a lineup of incredible speakers and panelists from 🧠 neuroscience, 🤖 geometric deep learning, and 🌐 geometric statistics.
first poster session at #Cosyne19 -- tons of amazing neuroscience!
Looking forward to hearing how we can use biology to inspire the next generation of AI! #cosyne2019
@thisismyhat on supervised learning of unsupervised local learning rules!! #cosyne18
Me explaining the merits of Homersapien Evolution Theory to a room of 700 neuroscientists. #cosyne18 photo credit: @collinsljas
New year, new look! The Redwood Center has a sleek new website thanks to our own Spencer Kent. Check it out! redwood.berkeley.edu
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