Excited to highlight a new paper from my graduate student Sergio Bernal Garcia who, together withLuke Hammond, developed RESPAN, a new deep-learning pipeline automating the segmentation of neuronal morphology and dendritic spines from fluorescent microscopy images: www.cell.com/cell-reports...

Thrilled to see this work accepted at NeurIPS! Kudos to @hafezghm.bsky.social for the heroic effort in demonstrating the efficacy of seq-JEPA in representation learning from multiple angles. #MLSky 🧠🤖

And we are live! Excited to announce the 2025 Multi-Agent Behavior Challenge on cross-lab supervised action recognition in mice 🐁🐀🖱️ Running on Kaggle until December 15th, with a $50,000 prize pool going to the top five submissions! www.kaggle.com/competitions...

Do you see a white square? A new study, supported by our #OpenScope team, identified the key neural circuit and cell type involved with inferring details that don't exist in illusions like the one below. 🔗 alleninstitute.org/news/scienti... #OpenScienceWeek

(1/8) New paper from our team! Yu Duan & Hamza Chaudhry introduce POCO, a tool for predicting brain activity at the cellular & network level during spontaneous behavior. Find out how we built POCO & how it changes neurobehavioral research 👇 arxiv.org/abs/2506.14957

The two key studies of the International Brain Laboratory @intlbrainlab.bsky.social are out today! A brain-wide map of neural activity during complex behaviour www.nature.com/articles/s41... Brain-wide representations of prior information in mouse decision-making www.nature.com/articles/s41...

New work with @shiyanliang.bsky.social‬, @roxana-zeraati.bsky.social, @intlbrainlab.bsky.social, Anna Levina. We uncover the principles that organize single-neuron timescales across the entire brain, unifying regional specialization with universal brain-wide dynamics: www.biorxiv.org/content/10.1...

An overview of persona vectors in LLMs, and related context. youtu.be/SkP71SaoOrg?...

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(16/26) This leads to a dynamic analog of Hopfield networks: rather than evoking static patterns by aligning inputs to symmetric-connectivity eigenstructure, we evoke dynamic patterns by aligning inputs to asymmetric-connectivity eigenstructure.

ATTN🚨: I will be looking for PhD students through NYU's Center for Data Science PhD program this year. Applicants should have an interest in either NeuroAI (specifically biological attention or AI interpretability) or ML for Remote Sensing. Visit my lab website for more info: lindsay-lab.github.io

Wanted to share a new version (much cleaner!) of a preprint on how connectivity structure shapes collective dynamics in nonlinear RNNs. Neural circuits have highly non-iid connectivity (e.g., rapidly decaying singular values, structured singular-vector overlaps), unlike classical random RNN models.

New theory: Categorization is Baked Into the Brain Categorization is not a late stage of sensory processing but a core computation that begins at the earliest stages, occurring throughout the cortex as predictive feedback shapes feedforward processing. doi.org/10.31234/osf... #neuroscience

Are similar representations in neural nets evidence of shared computation? In new theory work w/ Lukas Braun (lukasbraun.com) & @saxelab.bsky.social, we prove that representational comparisons are ill-posed in general, unless networks are efficient. @icmlconf.bsky.social @cogcompneuro.bsky.social

Questions for an updated Turing test.

Feature-specific inhibitory connectivity augments the accuracy of cortical representations https://www.biorxiv.org/content/10.1101/2025.08.02.668307v1

The mathematician Fan Chung has authored over 300 papers with more than 150 coauthors. Her work has contributed to problems in computer science, engineering and physics. In an interview with Quanta, Chung discusses human and mathematical connection: www.quantamagazine.org/why-the-key-...

Pleased to announce that our paper on "Identifying Neural Dynamics Using Interventional State Space Models" has been selected for a poster presentation in #ICML2025. Please check the thread for paper details (0/n). Presentation info: icml.cc/virtual/2025....

Excited to share new work @icmlconf.bsky.social by Loek van Rossem exploring the development of computational algorithms in recurrent neural networks. Hear it live tomorrow, Oral 1D, Tues 15 Jul West Exhibition Hall C: icml.cc/virtual/2025... Paper: openreview.net/forum?id=3go... (1/11)

Brain-wide connectivity patterns of feedforward and feedback cortico-cortical neurons in the mouse secondary visual cortex https://www.biorxiv.org/content/10.1101/2025.07.08.663552v1

Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025! 🧠📈 🧪 We invite short papers or interactive demos on AI for neural, physiological or behavioral data. Submit by Aug 22 👉 brainbodyfm-workshop.github.io

Can your AI beat a mouse? Mice still outperform our best computing machines in some ways. One way is robust visual processing. 10 years ago I decided to work on HARD behavior driven by COMPLEX visual processing. And that risk is paying off now. #neuroAI 1/n

In this “Brain Inspired” episode, Paul Middlebrooks and Xiao-Jing Wang discuss how neuroscience has changed over the past 50 years, and how Wang believes modern theoretical tools will lead to a new era of “cross-levels mechanistic understanding.” Listen now: www.thetransmitter.org/brain-inspir...

Pleased to say that our story of how a theory of self-supervised learning in cortical layers accounts for several experimental observations is now out 🎉 www.nature.com/articles/s41...

Different representations in layer 2/3 and layer 5 excitatory neurons of the primary visual cortex https://www.biorxiv.org/content/10.1101/2025.06.30.662366v1

🧠🤖 We’re hiring a Postdoc in NeuroAI! Join CRC1233 "Robust Vision" (Uni Tübingen) to build benchmarks & evaluation methods for vision models, bridging brain & AI. Work with top faculty & shape vision research. Apply: tinyurl.com/3jtb4an6 #NeuroAI #Jobs

Here is your last reminder that the application deadline for Imbizo.Africa is nearing quickly, the 1st of July, in fact tomorrow. Still the place where diversity is at its best in the world! Tell all who need to hear. #africa #neuro

Lack of spontaneous activity (#retinalwaves) in early development prevents the formation of retinal circuits critical for stabilizing images as we move through the world. doi.org/10.1016/j.ce....

🧠 Can a neural network build a spatial map from scattered episodic experiences like humans do? We introduce the Episodic Spatial World Model (ESWM)—a model that constructs flexible internal world models from sparse, disjoint memories. 🧵👇 [1/12]

What's the best neural evidence that the brain does in-context learning? In other words, learning through activity dynamics rather than through synaptic plasticity.

#eNeuro: Obeid and Miller identify distinct neural computations in the primary visual cortex that explain how surrounding context suppresses perception of visual figures and features. ‪@harvardseas.bsky.social‬ vist.ly/3n6tfb2

Humans and animals can rapidly learn in new environments. What computations support this? We study the mechanisms of in-context reinforcement learning in transformers, and propose how episodic memory can support rapid learning. Work w/ @kanakarajanphd.bsky.social : arxiv.org/abs/2506.19686

Out today in @nature.com: we show that individual neurons have diverse tuning to a decision variable computed by the entire population, revealing a unifying geometric principle for the encoding of sensory and dynamic cognitive variables. www.nature.com/articles/s41...

In our Learning Club @cmc-lab.bsky.social tomorrow (= June 26th, Thursday, 2 PM CET), David Clark will tell us about his recent @pnas.org paper (www.pnas.org/doi/10.1073/...). If you'd like to attend, send an empty email to [email protected] to get the link!

Language Machines by @leifw.bsky.social is out! Highly recommend this book for a thoughtful, humanistic take on what LLMs reveal about language itself.

However, this comparison already revealed an important difference. When we quantified the proportion of visual, semantic, and mixed dimensions, it turned out that human representations were much more semantic, while the DNN was dominated by visual dimensions. 6/n

Applications are open for the first Cephalopod Neuroscience Gordon Conference, to be held February 2026! Hope to see many of you there! 🐙🧠🔬 www.grc.org/cephalopod-n...

Submissions now accepted for a special issue of the Journal of Vision: Choose your stimuli wisely: Advances in stimulus synthesis and selection Submission deadline: Dec 12, 2025 Futher details: jov.arvojournals.org/ss/synthetic...

The Cognitive Computational Neuroscience conference is in Amsterdam this year, but you don't have to go that far to attend. Local meetups/watch parties are being organized all over, including the one I'm hosting in New York! Check them out and register (free!) here 👇 #neuroskyence #compneurosky

Excited to speak @rldmdublin2025.bsky.social later today! Find me at poster #74 after.

My latest Aronov lab paper is now published @Nature! When a chickadee looks at a distant location, the same place cells activate as if it were actually there 👁️ The hippocampus encodes where the bird is looking, AND what it expects to see next -- enabling spatial reasoning from afar bit.ly/3HvWSum

Had fun presenting at @kempnerinstitute.bsky.social on Theories of rapid learning, creativity, and reasoning: of mice and machines. Video: www.youtube.com/watch?v=jLmK... Papers: Learning: www.nature.com/articles/s41... Creativity: arxiv.org/abs/2412.20292 Math Reasoning: arxiv.org/abs/2502.07154

What is the probability of an image? What do the highest and lowest probability images look like? Do natural images lie on a low-dimensional manifold? In a new preprint with Zahra Kadkhodaie and @eerosim.bsky.social, we develop a novel energy-based model in order to answer these questions: 🧵

Isolating single cycles of neural oscillations in population spiking doi.org/10.1371/jour... #neuroscience

🎥 The recording of the first ELLISxUniReps Speaker Series session with Andrew Lampinen @lampinen.bsky.social and Jack Lindsey is now available here: www.youtube.com/watch?v=eXE0... Next appointment: 20th June 2025 – 16:00 CEST on Zoom 🔵 Keynote: Mariya Toneva (MPI) 🔴 Flash: Lenka Tětková (DTU)

New preprint! 🚨→ Determinants of Visual Ambiguity Resolution. A new work with @ortiztudela.bsky.social @jvoeller.bsky.social @martinhebart.bsky.social and @gonzalezgarcia.bsky.social We created ~2k images and collected ~100k responses to study visual ambiguity. www.biorxiv.org/content/10.1...

I am joining @ualberta.bsky.social as a faculty member and @amiithinks.bsky.social! My research group is recruiting MSc and PhD students at the University of Alberta in Canada. Research topics include generative modeling, representation learning, interpretability, inverse problems, and neuroAI.

1/6 Why does the brain maintain such precise excitatory-inhibitory balance? Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning. www.biorxiv.org/content/10.1... led by @jrbch.bsky.social

I am looking for a postdoc with an immunology background interested in joining a Yale neuroscience lab to study how the brain controls immunity. At Yale, we have a wonderful interdisciplinary & collaborative #neuroimmune community. Please reach out or share with anyone who might be interested!

Happy to share our new preprint! We show how cell-type-specific synaptic scaling mechanisms shape memory representations during associative learning and highlight a critical role of top-down inputs in modulating this process. www.biorxiv.org/content/10.1...