Columbia NeuroTheory
@cu_neurotheory
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Center for Theoretical Neuroscience @ZuckermanBrain @Columbia, where experimentation, data analysis, and computational neuroscience come together
Jerome L Greene Science Center
Joined January 2018
Check out our new tutorial series to learn how to use the Lightning Pose app, on a local workstation or in the cloud. We start from the basics and work up to advanced topics like deep ensembling and active learning: https://t.co/yu2VRibf9r
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New work with @Jack_W_Lindsey, Larry Abbott, Dmitriy Aronov, and @selmaanchettih! We propose a model of episodic memory where memories are bound to “barcode” activity patterns, enabling precise and flexible memory. https://t.co/5fth544FS2
biorxiv.org
Forming an episodic memory requires binding together disparate elements that co-occur in a single experience. One model of this process is that neurons representing different components of a memory...
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We live with the limitations of our memory, but don’t really know where they come from. Our new paper ( https://t.co/DYiL0IfxvF) studies "swap errors", which we argue arise during memory manipulation – see thread for more! @timbuschman, @MattPanichello, @wjeffjohnston
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How does the brain bind action to value? How does it navigate a tradeoff between this binding and generalization to novel situations? Out today in Nature Neuro! https://t.co/YPiY2uHoFz
@JustFineNeuro @NeuroPolarbear @BecketEbs @neuromochi See original 🧵 + updates below
How does the brain represent multiple different things at once in a single population of neurons? @JustFineNeuro, @NeuroPolarbear, @BecketEbs, @neuromochi and I show that it uses semi-orthogonal subspaces for each item. Preprint here: https://t.co/CFvI4PHgjP Tweets below! (1/n)
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Lightning Pose is an efficient pose estimation approach that requires few labeled training data owing to its semi-supervised learning strategy and ensembling. @dan_biderman @cu_neurotheory @ZuckermanBrain @IntlBrainLab @Columbia
https://t.co/Snw7F05aZA
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The Paninski Lab is seeking a research software engineer to work with computational and experimental neuroscience labs at the Zuckerman Institute and International Brain Lab to develop cutting edge tools for analyzing behavioral video data:
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Yesterday, we had the immense pleasure of celebrating neuroscience as we awarded Professors @HSompolinsky, Terrence Sejnowski, and Larry Abbott with #TheBrainPrize2024 medals for their pioneering contributions to the fields of computational and theoretical neuroscience. Thank you
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Excited to share a new paper with @neuro_kim: “Predictive auxiliary objectives in deep RL mimic learning in the brain”, which has been accepted as an #ICLR2024 oral and #Cosyne2024 talk! https://t.co/JuzMmWLqKh. A short summary:
openreview.net
The ability to predict upcoming events has been hypothesized to comprise a key aspect of natural and machine cognition. This is supported by trends in deep reinforcement learning (RL), where...
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Today I am presenting this work at #NeurIPS2023, 10:45 AM, poster session 3, poster #401.
There are plenty of feedback connects in visual cortex, and they contribute to so many perceptual experiences (e.g imagination, de-occlusions, hallucinations), but HOW? In a #NeurIPS2023 paper, we show alignment of the feedback and feedforward is the key! https://t.co/YOmRidwzkY
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There are plenty of feedback connects in visual cortex, and they contribute to so many perceptual experiences (e.g imagination, de-occlusions, hallucinations), but HOW? In a #NeurIPS2023 paper, we show alignment of the feedback and feedforward is the key! https://t.co/YOmRidwzkY
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📢 Multiple postdoctoral positions in Theoretical Neuroscience available at the Gatsby Computational Neuroscience Unit (PI: A Palmigiano) to develop both normative and data-driven theoretical approaches to link dynamics and computation. Apply by Jan 16! https://t.co/kR0yN34Kim
ucl.ac.uk
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
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Really happy to share that our reshuffling paper is now out https://t.co/J67ZIBITmJ 🥳. Super fun theory-theory collab, see tweet print by co-first @AlessandroSzeni below for more info
New work with @APalmigiano, Tuan Nguyen, @kendmil, and Nicolas Brunel at @NeuroCellPress : Unveiling the Mechanisms Behind Reshuffling Visual Responses via Optogenetic Stimulation in Mice and Monkeys 🐭🐒 (thread follows)
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We are delighted to announce that Dr Agostina Palmigiano (@APalmigiano) will join the Gatsby Unit as Lecturer in January, developing data-driven theoretical approaches to uncover neural mechanisms underlying cognitive functions. Learn more at https://t.co/sJaIdH1YWw
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Excited to share triple (!) joint publications on bio-learning rules for the successor representation. With D. Aronov, L. Abbott, @e_mackevicius, we show RNNs can learn flexible predictive maps. Turns out two other groups were working on similar problems! https://t.co/JJEcdsuRFu
elifesciences.org
A recurrent network using a simple, biologically plausible learning rule can learn the successor representation, suggesting that long-horizon predictions are computations that are easily accessible...
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And this is an alternative cover, again from @matteofarinella, still describing the results of https://t.co/guzcsMyNgl
Our recent study with @chrisXrodgers, @TheBrunoCortex, and @StefanoFusi2 was highlighted in @NatRevNeurosci last week, nicely summarized by @jakestarmovemnt. Also, one of the cover proposals that was submitted, beautiful work by the great @matteofarinella
https://t.co/9nQ8tRZccC
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👏👏
Our recent study with @chrisXrodgers, @TheBrunoCortex, and @StefanoFusi2 was highlighted in @NatRevNeurosci last week, nicely summarized by @jakestarmovemnt. Also, one of the cover proposals that was submitted, beautiful work by the great @matteofarinella
https://t.co/9nQ8tRZccC
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👇🧵!
Our article “The geometry of cortical representations of touch in rodents” with @chrisXrodgers @TheBrunoCortex @StefanoFusi2 is finally out! In brief, we found that whisker contacts in mice S1 are represented in approximately orthogonal subspaces https://t.co/BSzOqUPwuL 👇🧵
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I’m really excited to share that I will start my lab in 2023 at @epflSV in Lausanne as an ELISIR fellow! The lab will combine computational and experimental approaches to study the function of hippocampal-entorhinal circuits in memory formation! Interested in joining? ⬇️
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New issue is out: https://t.co/ImgPc6z4Dp The cover illustrates an open-source platform for scalable, reproducible data analysis by Taiga Abe (@TrackingNoise) & coll. Find this free featured #NeuroResource here: https://t.co/EnZv2QB9ta
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Thrilled to share that I will be joining the amazing community at @UCLA in 2023 as an Assistant Professor in theoretical neuroscience in the Dept of Neurobiology! My lab will investigate the principles of cortical computations through biologically realistic neural networks.
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