"The academic structure … makes planning for a family feel like an impossible luxury." In this #ScienceWorkingLife, two postdocs share how, as women in academia, having children can feel impossible—and how talking about it makes them feel less alone. https://scim.ag/46uBWgD #WomenInScienceDay

neuroAI comparisons of ANNs to brains do have a range of problems. Even more than I had realized. And I was worried before: www.biorxiv.org/content/10.1...

Preventing data leakage in neural decoding - "for autocorrelated neural time series, standard k-fold cross-validation can dramatically overstate performance." www.biorxiv.org/content/10.6...

Postdoc position in Paris: come help develop new generation human brain computer interfaces ⚡🧠💻 Interested? Contact me if you have experience with machine learning (e.g. simulation-based inference, RL, generative/diffusion models) or dynamical systems. See below for + details and retweet 🙏

For the past 3 years, I've taught a course on Machine Learning for Climate Change to undergrads. At times, people have asked if the course lectures could be made available online. While I can't offer that, I have decided to start making "5 Minute Papers on AI for the Planet" videos. Hope its useful!

Want to make publication-ready figures come straight from Python without having to do any manual editing? Are you fed up with axes labels being unreadable during your presentations? Follow this short tutorial including code examples! 👇🧵

🎓Fully-funded PhD studentship in Computational Cognitive Neuroscience!!! Join @seanfw.bsky.social and myself at @tcddublin.bsky.social for a PhD at the intersection of cutting-edge cognitive neuroscience (OPM-MEG) and neuro-AI. 🗓 Deadline: 5 Feb 2026 #neurojobs #neuroscience #compneuro

‪Voxelwise Encoding Models (VEMs) are a great framework for modeling fMRI data, but it can be difficult to implement. We've made VEM accessible by providing software, tutorials and reviews that guide its use an implementation. Get it here: gallantlab.org/blog/2025-12... #neuroscience, #neuroimaging

We're running a 5th edition of the always-exciting UCL Summer School on Consciousness and Metacognition this year, 8th-10th July 2026 in London. Accommodation and travel expenses are covered. For more information and how to apply, check out metacoglab.org/summer-schoo...

15 fully funded PhD positions in EU-funded Doctoral Network (IndiBrain). We lead Project 7 (@spinozacentre.bsky.social, @nin-knaw.bsky.social): biologically inspired models of individual observers combining 7T MRI + MEG, focusing on vision and recurrent processing. 4-year PhD. Apply: indibrain.eu

📢 Applications open on 19 Jan for the 7-week #Mathematics #SummerSchool in London. You will develop the maths skills and intuition necessary to enter the #TheoreticalNeuroscience / #MachineLearning field. Find out more & register for the information webinar 👉 www.ucl.ac.uk/life-science...

I have a PhD opening for my #VIDI BrainShorts project 📽️🧠🤖! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15). werkenbij.uva.nl/en/vacancies...

"Simple heuristics to run a research group" onlinelibrary.wiley.com/doi/10.1002/...

It isn't easy following science as a career path. Our series of personal essays, published on the last page of Science, aim to shed light on the challenges scientists face and, hopefully, help others feel less alone. Here are @science.org's top essays of the year. www.science.org/content/arti...

Multidisciplinary training, over time, produces the highest impact people www.science.org/doi/10.1126/...

Excited to announce a new book telling the story of mathematical approaches to studying the mind, from the origins of cognitive science to modern AI! The Laws of Thought will be published in February and is available for pre-order now.

If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/ #rstats #brms #EEG

Prediction: task-based optimization will ultimately prove to have a relatively minor role in DNN models of the ventral stream. Although tasks (including self-supervised ones) are currently crucial, there are signs that a simpler approach is possible. A thread:

“Why AGI Will Not Happen” by Tim Dettmers. timdettmers.com/2025/12/10/w... This essay is worth reading. Discusses diminishing returns (and risks) of scaling. The contrast between West and East: “Winner takes all” approach of building the biggest thing vs a long-term focus on practicality.

Excited to announce our symposium on how AI and humans shape each other “Humans and Artificial Minds: Mutual Influences” 9 Jan at ENS Paris. Talks by @smfleming.bsky.social, Valeria Giardino, Silvia Tulli, @thecharleywu.bsky.social, Laurence Devillers & @summerfieldlab.bsky.social . Program ↓

We recently stumbled upon a surprisingly common misunderstanding in computing noise ceilings that can be quite consequential. So if you care about noise ceilings, please check out Sander’s thread and our preprint! 👇

New today in @Nature: your visual cortex contains touch-based body maps. bit.ly/VisualBodyMaps Your brain transforms what you see into first-person, body-referenced codes: A previously unknown bridge between vision and touch.

New work with @simyciri.bsky.social. Adults make more accurate decisions than adolescents—yet show more intrusion from irrelevant players. We explain this paradox via efficient information compression: adults rely on combinatorial social basis functions that use group structure as a mental scaffold.

Y’all are reading this paper in the wrong way. We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere: This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA It’s quite the opposite! (thread)

Émission frustrante. Soyons clairs: La psychanalyse : - ne fait pas progresser les enfants - s’appuie sur un fatras de chimères théoriques (œdipe, castration, jeux de mots Lacaniens) qu’on a encore entendues ce soir - conduit trop de CMPP à culpabiliser les parents au lieu de les outiller

Numerosity Is Directly Sensed and Dynamically Transformed in the Human Brain: Evidence from MEG-MRI Fusion https://www.biorxiv.org/content/10.1101/2025.11.15.687894v1

Noise ceilings are really useful: You can estimate the reliability of your data and get an index of how well your model can possibly perform given the noise in the data. But, contrary to what you may think, noise ceilings do not provide an absolute index of data quality. Let's dive into why. 🧵

I’m looking for interns to join our lab for a project on foundation models in neuroscience. Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...). Interested? See the details in the comments. (1/3) 🧠🤖

I think “Academia = papers” vs. “Science = helping society” is too simplistic. Science isn’t always about direct utility; sometimes its value is understanding itself. And academia isn’t defined by papers — that’s just the current incentive system.

An exciting opportunity to work with @martinhebart.bsky.social

Pleased to share new work with @sflippl.bsky.social @eberleoliver.bsky.social @thomasmcgee.bsky.social & undergrad interns at Institute for Pure and Applied Mathematics, UCLA. Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models www.arxiv.org/pdf/2510.15987 🧵1/n

When does new learning interfere with existing knowledge in people and ANNs? Great to have this out today in @nathumbehav.nature.com Work with @summerfieldlab.bsky.social, @tsonj.bsky.social, Lukas Braun and Jan Grohn www.nature.com/articles/s41...

For your enjoyment (by @jagarikin)

From ancient Greece to the Arabic golden age, scholars have been driven by their curiosity to investigate astronomy, history, philosophy, and sundry other disciplines. Is there a structure to that curiosity? Are astronomers as likely to also be historians or to also be philosophers?

📣 Apply now for the 🌵CaCTüS 3-month fully funded internship in Germany in 2026! Work on ML, theor. neuroscience, computational psychiatry, behavioral experiments or data analysis at a top institution in Tübingen. For students facing barriers in higher education. 👉 cactus-internship.tuebingen.mpg.de

Ten Simple Rules for AI-Assisted Coding in Science arxiv.org/abs/2510.22254 - our latest, led by @ericwbridgeford.bsky.social

🚨Preprint: Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe 1/8: How do human neurons encode meaning? In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain: doi.org/10.1101/2025...

I am close to tears; they listened and made an english version apache.be/2025/10/24/b... @apache.be you rule 🖤

How does our brain excel at complex object recognition, yet get fooled by simple illusory contours? What unifying principle governs all Gestalt laws of perceptual organization? We may have an answer: integration of learned priors through feedback. New paper with @kenmiller.bsky.social! 🧵

Please enjoy my series of essays on the subtle distinction between the game-theoretic concepts of tactics and strategies. www.infinitelymore.xyz/t/tactic #InfinitelyMore

Interesting PhD positions in AI & ML with the ELLIS–Max Planck AI Network. Potential opportunities for interdisciplinary projects bridging AI and neuroscience.

Variance partitioning is used to quantify the overlap of two models. Over the years, I have found that this can be a very confusing and misleading concept. So we finally we decided to write a short blog to explain why. @martinhebart.bsky.social @gallantlab.org diedrichsenlab.org/BrainDataSci...

I wanted to add some thoughts to this excellent blog post, not detailed, maybe wrong, maybe useful: 1. Unique variance is easy to interpret as a lower bound of what a variable explains (the upper bound being either what the variable explains alone or what the other variables cannot explain uniquely)

Dear scientists of BlueSky: Wouldn't it be great to learn how large language models work by running experiments on them and analyzing the data? Yeah, you can do that, and I'll show you how. mikexcohen.substack.com/s/ml-on-llms

I’m recruiting committee members for the Technical Program Committee at #CCN2026. Please apply if you want to help make submission, review & selection of contributed work (Extended Abstracts & Proceedings) more useful for everyone! 🌐 Helps to have: programming/communications/editorial experience.

Thrilled that #CCN2026 will be hosted at NYU! Having experienced an amazing summer school there last year, I know how inspiring the city is. It’s heartbreaking, though, that many brilliant Iranian students and researchers may be excluded due to the new travel restrictions.

Come and check out our poster at #CCN2025, presented by @tlmnhut.bsky.social

New preprint out! We propose that action is a key dimension shaping the topographic organization of object categories in lateral occipitotemporal cortex (LOTC)—and test whether standard and topographic neural networks capture this pattern. A thread: www.biorxiv.org/content/10.1... 🧵 1/n

We’re very happy to share 3 highlights of our Brain and AI team for #CCN2025 's week: 1. 🏆1st place for the Algonauts competition: paper, thtread and code below 2.🗣Keynote: Language in the Brain: 2025.ccneuro.org/k-and-t-lang... 3. 🚀Tutorial: Scale your decoding pipeline in the notebook