Both studies highlight experience-driven emergence of number coding. Excited to see computational evidence that learning to count, not just architecture, makes networks focus more on number. openreview.net/forum?id=AJm...
Our CCN2025 results (Investigation of Numerosity Representation in Convolutional Neural Networks – CORnet-Z) find intrinsic numerosity amplified and shifted earlier in the hierarchy.
Nice work by Lauren Aulet showing that counting training flips an architectural area bias into a strong number bias in ResNeXt-50.
Drawing of the "Aeon" project, an open-source platform to study the neural basis of ethological behaviours over naturalistic timescales.
Are you a neuroscientist with great coding skills, or a software engineer interested in the brain?
We are recruiting for a research software engineer to help us build pipelines to process weeks of neural and behavioural recordings from freely moving animals.
More details: bit.ly/rse-2026a
The Per2Con group at CIMeC is actively seeking Post-Docs interested in investigating how newborns 👶 🧒 perceive 👁️👂and learn, using 🧠 HD EEG and eye-tracking.
✨You are motivated to work on neurodevelopment: we would love to hear from you to prepare a grant proposal together (Marie-Curie, Fyssen...)
The strongest version of this illusion I’ve seen! Absolute head-wrecker!
The "publish or perish" culture must perish. Scientists need time to think.
We just published our Slow Science Manifesto, where we argue that huge changes are needed in the way we fund, publish, and evaluate science.
Read more and sign here: www.slow-science.com
quote from Dmitri “Mitya” Chklovskii on orange background: "Artificial intelligence systems like ChatGPT — amazing as they are — are, in several respects, inferior to the human brain,”
Neuroscientists at @flatironinstitute.org are using #neurobiology to enhance artificial systems with a new type of computational component more akin to those found in real brains: https://www.simonsfoundation.org/biological-brains-inspire-a-new-building-block-for-artificial-neural-networks/ #science
Very excited for our second workshop on the computational ingredients of reasoning (Feb 24-27), this one focused on mechanisms of reasoning in both AI and the brain. Check out the program to see our amazing lineup of speakers, and please consider attending! ivado.ca/en/events/me...
Excited to launch Principia, a nonprofit research organisation at the intersection of deep learning theory and AI safety.
Our goal is to develop theory for modern machine learning systems that can help us understand complex network behaviors, including those critical for AI safety and alignment.
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Thrilled to finally share this work! 🧠🔊
Using a new reinforcement-free task we show mice (like humans) extract abstract structure from sound (unsupervised) & dCA1 is causally required by building factorised, orthogonal subspaces of abstract rules.
Led by Dammy Onih!
www.biorxiv.org/content/10.6...
Again, I'm looking for a lab research coordinator to work on the developmental cognitive neuroscience of numeracy in preschoolers. Please pass on to those that might be interested publish.illinois.edu/danielchyde/...
A conceptual illustration of multiple people looking to center, with conversation bubbles with baby and academic related drawings inside. Hedline is: As women in academia, having children can feel impossible. Talking about it makes us feel less alone
"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 for 2026 entry to the Gatsby Bridging Programme (7-week maths summer school) will open on 19 Jan and close on 16 Feb. Designed for students who wish to pursue a postgrad research degree in theoretical neuroscience or foundational machine learning but whose degree programme lacks a strong maths focus. Applications from students in underrepresented groups in STEM strongly encouraged. A small number of bursaries available. Register for the information webinar on 23 Jan.
📢 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:
