New method for identifying the fine transcriptomic types of thousands of neurons recorded in vivo!

Unbelievably honoured to read Tatiana Engel's (@engeltatiana.bsky.social) wonderfully written Preview on our work "Linking neural manifolds to circtuit structure in recurrent networks" (with @lpezon.bsky.social & @gerstnerlab.bsky.social) in this issue of Neuron www.cell.com/neuron/fullt... 🙏

There is still time to apply to join our lab as a PhD student At @kavlintnu.bsky.social 💻🧠🇳🇴 www.jobbnorge.no/en/available... Apply before May 6.

How do the basal ganglia turn what you see into what you do? New preprint w/ @kenneth-harris.bsky.social, @flickerfusion.bsky.social & @carandinilab.net: we recorded across striatum, GPe & SNr in a Go/NoGo task. Striatum encodes which stimulus, GPe & SNr encode action. 🧵 biorxiv.org/content/10.6...

Really excited to share a new preprint! 𝗛𝗼𝘄 𝗱𝗼 𝗯𝗿𝗮𝗶𝗻𝘀 𝘀𝘁𝗮𝘆 𝗿𝗼𝗯𝘂𝘀𝘁 & 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝘄𝗵𝗶𝗹𝗲 𝗯𝗲𝗶𝗻𝗴 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝘆 𝘀𝗽𝗮𝗿𝘀𝗲? We explore how! www.biorxiv.org/content/10.6... We built Connectome-based Neural Networks (CoNNs) using Drosophila wiring (larva&adult) & compared with random networks with same sparsity.

Ten years ago, I did a research internship with Tilo Schwalger (then in the @gerstnerlab.bsky.social) on deriving mean-field equations from networks of interacting neurons – I have been doing that ever since. I'm still very fond of the way he explains things "à la physicienne".

Cortical circuits are often thought to be specialized, but the same large-scale activity patterns can arise from different circuit architectures. In other words, different instruments can play the same tune, and the same instrument can sometimes play different tunes. www.cell.com/neuron/fullt...

I thought this was an exciting new theoretical perspective www.cell.com/neuron/fullt...

Travelling to COSYNE seems to be the perfect opportunity to announce that I started my own lab at RWTH Aachen University earlier this year, funded by NRW's Ministry of Culture and Science through its Return Program. If you are at COSYNE and want to chat please reach out!

𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗺𝗮𝗻𝗶𝗳𝗼𝗹𝗱𝘀 𝗮𝗻𝗱 𝗿𝗲𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻? This looks like a must read (suppl material bursting with goodies). #neuroskeyence doi.org/10.1016/j.ne...

How are neural manifolds and single-neuron response properties related to circuit structure? How degenerate are these relationships? Theory and a plethora of examples can be found in the following paper, out today in Neuron 🌟 It was a privilege to co-supervise first author @lpezon.bsky.social!

These workshops are absolutely amazing. I had the privilege to attend the theoretical neuroscience workshop in 2024; it was a memorable week.

Applications are now open for the summer school: 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐍𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞 🧠 Apply before March 15: www.compneuronrsn.org 📍 Located in beautiful Eresfjord 🇳🇴 🗓️ Between July 6-24 Supported by the @kavlifoundation.org In collaboration with @kavlintnu.bsky.social

Turns out deep neural networks are better at extracting relevant features than I am... Meet "DeepUnitMatch", a DNN version of our neuron tracking tool: www.biorxiv.org/content/10.6... It has been a privilage to continue the collaboration with Célian, and cosupervise the talented Suyash & Wentao!

Summer school on Neuro AI in Cambridge. Registration Deadline: 16 Feb 2026 Speaker line up: G. Bellec A. Billard R. Bogacz R. Ponte Costa W. Gerstner M. Giugliano L. Hunt M. Sahani P. Series P. Tino www.fens.org/news-activit...

Estimating the power-law exponent of the tail of the eigenspectrum from noisy data is a difficult problem. Here is an approach based on eigenmoment estimation. 👏🏻 A hard stats problem remains open: Can we find an estimator of the tail exponent for which we can PROVE unbiasedness, consistency, etc.?

Talk on "High-dimensional neuronal activity from low-dimensional latent dynamics" at NeurIPS 2025 with @haydari.bsky.social now accessible online 🎥: neurips.cc/virtual/2025... Please reach out if you have any comments or ideas for follow-up work!

If you recently finished your PhD in ML for life science and are looking for a new job early next year, please apply! Göttingen is a lovely town and a great scientific environment.

Very excited about this new work from the omnipotent Owen, with me and Ashok Litwin-Kumar! Can we reconcile low- and high-dimensional activity in neural circuits by recognizing that these circuits ~multitask~? (Plausibly, yes 😊)

I'm more and more convinced that low-dimensional manifolds in the brain are just an artifact of the experimental designs and analyses we use... 🧠📈 🧪

"Low-d neural activity" would probably look high-D if you plot the spectrum on a log-log scale. @engeltatiana.bsky.social made a similar point recently on @braininspired.bsky.social. Also agrees with our claim with @bio-emergent.bsky.social that low-D and high-D can be two sides of the same coin!

Best part about being a scientist is the people I get to work with. Valentin (@bio-emergent.bsky.social) and I got to give a talk at NeurIPS, bridging a gap between low- and high-dim perspectives of the brain. Thankfully, the audience was (somewhat) more awake than the San Diego desert 🏜️

Thank you for having me on BrainInspired, Paul @braininspired.bsky.social! It was such an honor to be on my favorite show—a rare place where we can leisurely talk about manifolds, latent circuits, power laws, and other esoteric ideas, and still be taken seriously in knowing they are all real.

Tomorrow at #NeurIPS2025! Oral at 10 am in UL Ballroom 20D and poster #2016 at 11 am. @haydari.bsky.social and I are looking forward to hearing your thoughts.

🧵Excited to present our latest work at #Neurips25! Together with @avm.bsky.social, we discover 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝐭𝐨 𝐢𝐧𝐟𝐢𝐧𝐢𝐭𝐲: regions in neural networks loss landscapes where parameters diverge to infinity (in regression settings!) We find that MLPs in these channels can take derivatives and compute GLUs 🤯

1. New preprint resolving a conundrum in systems neuroscience with an AI scientist, and humans Reilly Tilbury, Dabin Kwon, @haydari.bsky.social, @jacobmratliff.bsky.social, @bio-emergent.bsky.social, @carandinilab.net, @kevinjmiller.bsky.social, @neurokim.bsky.social www.biorxiv.org/content/10.1...

Excited to share our new work with @engeltatiana.bsky.social! RNNs are often used to explore how the brain may solve specific tasks. We show that, depending on the architecture, RNNs find distinct circuit solutions, behaving differently when exposed to novel stimuli. www.nature.com/articles/s42...

To the math/comp neuro folks in Oxford. I'll be giving a math neuro talk in the Partial Differential Equations Seminar at the MI on Monday 27 Oct at 16:30 (details in the link). www.maths.ox.ac.uk/node/74242 I'll be talking about the "universality" of spatially extended mean-field PDEs (see 🧵⬇️)

A study led by Cina Aghamohammadi is now out in ‪@natcomms.nature.com‬! We developed a mathematical framework for partitioning spiking variability, which revealed that spiking irregularity is nearly invariant for each neuron and decreases along the cortical hierarchy. www.nature.com/articles/s41...

Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. Follow the "abstract voting" link at snufa.net/2025/ to take part. It should take <15m. Thanks! ❤️

New in @pnas.org: doi.org/10.1073/pnas... We study how humans explore a 61-state environment with a stochastic region that mimics a “noisy-TV.” Results: Participants keep exploring the stochastic part even when it’s unhelpful, and novelty-seeking best explains this behavior. #cogsci #neuroskyence

🎉 "High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model" will be presented as an oral at #NeurIPS2025 🎉 Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models. www.biorxiv.org/content/10.1... 1/2

Submissions (short!) due for SNUFA spiking neural networks conference in <2 weeks! 🤖🧠🧪 forms.cloud.microsoft/e/XkZLavhaJe More info at snufa.net/2025/ Note that we normally get around 700 participants and recordings go on YouTube and get 100s-1000s views. Please repost.

Westlake University (西湖大学), a few hours before the start of this year's Summer School on Mathematical Neuroscience its.westlake.edu.cn/info/1017/28...

Is it possible to go from spikes to rates without averaging? We show how to exactly map recurrent spiking networks into recurrent rate networks, with the same number of neurons. No temporal or spatial averaging needed! Presented at Gatsby Neural Dynamics Workshop, London.

🚨New paper🚨 Neural manifolds went from a niche-y word to an ubiquitous term in systems neuro thanks to many interesting findings across fields. But like with any emerging term, people use it very differently. Here, we clarify our take on the term, and review key findings & challenges rdcu.be/ex8hW

Glad to see my PhD work out! Thanks to all my collaborators and to Kenneth and Matteo for making this possible!

New by Agnès Landemard (@agnesland.bsky.social‬) & co Brainwide blood volume reflects opposing neural populations Brainwide fluctuations in blood volume arise from two populations with opposite relation to brain state and distinct relationships to blood supply www.biorxiv.org/content/10.1...

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...

Our preprint is finally out! How can we understand the role of Behavioral Timescale Synaptic Plasticity in credit assignment? Does it fit into existing supervised and unsupervised learning frameworks? What theoretical gaps are still left unexplained? www.biorxiv.org/content/10.1...

🚀 We are excited to share that bombcell is now available in Python! 🐍 Automatically sort your units into good/MUA/noise/non-somatic using quality metrics and interpretable & adjustable classification thresholds. pip install and play around with our toy dataset: 🔗 github.com/Julie-Fabre/...

Interested in high-dim chaotic networks? Ever wondered about the structure of their state space? @jakobstubenrauch.bsky.social has answers - from a separation of fixed points and dynamics onto distinct shells to a shared lower-dim manifold and linear prediction of dynamics.

Our new preprint 👀

Two (tenure track) Junior Professorship Chair in Nice, France on: 'Modeling in Neurosciences and Cognition' math.univ-cotedazur.fr/laboratoire/... 'Mathematics of Life" math.univ-cotedazur.fr/laboratoire/...

Delighted to join the Royal Society of London for Improving Natural Knowledge! It's been in the news since 1660, and more so lately. Grateful to all my collaborators over the years.

Excited to share my PhD paper! In it, we use targeted 2-photon optogenetic stimulation to determine how V1 activity is read-out in a detection task. We found that network influence, not visual coding properties, predicted the impact of ensembles on behavior - contradicting our expectations (1/5).

Many of us use 2p scopes to image 3D volumes of brain. But then we analyze the data plane by plane, resulting in duplicated neurons, missed neurons, and low s/n. Let's go 3D! Suite3D: Volumetric cell detection for two-photon microscopy by @haydari.bsky.social & team. www.biorxiv.org/content/10.1...

I am very proud to announce that my PhD paper finally came out in Cell! In this *very* collaborative study, we develop and release a deep-learning approach to predict neuron type identity from their electrical signature. doi.org/10.1016/j.ce... 1/16 🧵

Thrilled to share our latest work exploring new avenues for combining #Neuropixels with #Optogenetics! Congratulations to co-first author Anna Lakunina, the Neuropixels Opto Consortium and collaborators! www.biorxiv.org/content/10.1...

(1/30) New preprint! "Symmetries and continuous attractors in disordered neural circuits" with Larry Abbott and Haim Sompolinsky bioRxiv: www.biorxiv.org/content/10.1...