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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.

New issue is out: cell.com/neuron/current The cover illustrates an open-source platform for scalable, reproducible data analysis by Taiga Abe (Taiga Abe) & coll. Find this free featured #NeuroResource here: cell.com/neuron/fulltex…

I’m really excited to share that I will start my lab in 2023 at EPFL Life Sciences 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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And this is an alternative cover, again from Matteo Farinella, still describing the results of nature.com/articles/s4159…

Excited to share triple (!) joint publications on bio-learning rules for the successor representation. With D. Aronov, L. Abbott, Emily Mackevicius, we show RNNs can learn flexible predictive maps. Turns out two other groups were working on similar problems! elifesciences.org/articles/80680

We are delighted to announce that Dr Agostina Palmigiano (Agostina Palmigiano) will join the Gatsby Unit as Lecturer in January, developing data-driven theoretical approaches to uncover neural mechanisms underlying cognitive functions. Learn more at ucl.ac.uk/gatsby/news-an…

Really happy to share that our reshuffling paper is now out cell.com/neuron/fulltex… 🥳. Super fun theory-theory collab, see tweet print by co-first Alessandro Sanzeni below for more info

📢 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! ucl.ac.uk/work-at-ucl/se…

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! arxiv.org/abs/2310.20599

Today I am presenting this work at #NeurIPS2023, 10:45 AM, poster session 3, poster #401.

Excited to share a new paper with Kim Stachenfeld (neurokim.bsky.social): “Predictive auxiliary objectives in deep RL mimic learning in the brain”, which has been accepted as an #ICLR2024 oral and #Cosyne2024 talk! openreview.net/forum?id=agPpm…. A short summary:

Yesterday, we had the immense pleasure of celebrating neuroscience as we awarded Professors Haim Sompolinsky, Terrence Sejnowski, and Larry Abbott with #TheBrainPrize2024 medals for their pioneering contributions to the fields of computational and theoretical neuroscience. Thank you

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: apply.interfolio.com/147471

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 Columbia NeuroTheory Columbia University's Zuckerman Institute International Brain Laboratory Columbia University nature.com/articles/s4159…

We live with the limitations of our memory, but don’t really know where they come from. Our new paper (doi.org/10.1073/pnas.2…) studies "swap errors", which we argue arise during memory manipulation – see thread for more! Tim Buschman, Matt Panichello, Jeff Johnston

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! rdcu.be/dUbMd Justin Fine @NeuroPolarbear Becket Ebitz Seng Bum Michael Yoo See original 🧵 + updates below

New work with Jack Lindsey, Larry Abbott, Dmitriy Aronov, and Selmaan Chettih! We propose a model of episodic memory where memories are bound to “barcode” activity patterns, enabling precise and flexible memory. biorxiv.org/content/10.110…

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: shorturl.at/jbxhd