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1/ PyBADS 1.0 is out! 🎉 acerbilab.github.io/pybads A Python package for fast & robust black-box optimization, with applications to model fitting. Gurjeet Singh (It *can* help create AGI, use at your own risk.)

Please RT! Today, hundreds of thousands of Israelis, young and old, are taking part in non-violent civil disobedience to counter Netanyahu’s power grab. Below you can see the protest in my home town 1/4

One of the appealing features of representational similarity analysis (RSA) is its simplicity and ease of implementation: Just measure representational dissimilarities and correlate representational dissimilarity matrices (RDMs), right? ...

Heiko Schütt’s new paper in eLife [elifesciences.org/articles/82566] introduces RSA3: a comprehensive methodology for statistical inference on representational geometries.

I'm delighted to see this joint work with Matt Siegelman, Nikolaus Kriegeskorte, and Chris Baldassano, "Testing the limits of natural language models for predicting human language judgments", in its final form in Nature Machine Intelligence! Here's a full-text link: rdcu.be/dl91g

Looking for independent research group leaders at our new institue for AI and Law in Tübingen: ailawinstitute.de If you are a postdoc in law or AI, ready to establish your own research group, do apply! Deadline: Oct 15.

Our paper on using neural networks as a guide for modeling human planning is out now in Scientific Reports! With Heiko Schütt and Wei Ji Ma nature.com/articles/s4159…

I am looking for a PhD student in explainable machine learning. You need strong mathematical skills (the goal is to formulate theorems and prove them) and an open mind when it comes to talking to applied ML, social science, ethics or law. tinyurl.com/4ptp5amd

Took a while but finally the PyBADS paper is out in JOSS! 📜PyBADS - Fast and robust black-box optimization in Python: joss.theoj.org/papers/10.2110… Led by Gurjeet Singh 💾Python package: acerbilab.github.io/pybads/ Give it a try for your model fitting problems!

I'm soon going to be looking for a senior postdoc to join my lab who is interested in transitioning to independence and in building their own group, with a strong background in vision science, cognitive computational neuroscience or visual neuroscience. Please RT 1/3

#Dopamine reward prediction error neurons encode experienced rewards efficiently, which explains major aspects of the neural population. This efficient code can be learned with local updates for each neuron. Heiko Schütt Dongjae Kim Wei Ji Ma nature.com/articles/s4159…

Excited to share that my postdoctoral work Stanford VPNL (stanfordvpnl.bsky.social) Stanford Psychology is finally out in Nature Communications! Thanks to the superb team kalatwit & Insub kim! nature.com/articles/s4146…

I’m so excited to share that in the fall of 2025, I’ll be starting as a tenure-track Assistant Professor in Computational Neuroscience in York Psychology at York University in Toronto, Canada! 🤩 I’m looking forward to working with my amazing new colleagues and students!

I am looking for a postdoc to join our group via our training grant in computational psychiatry. Please DM me if you are interested in learning more. brown.edu/carney/trainin…

This month is Childhood Cancer Awareness Month! Time to highlight the importance of my wife's work! Curing children from cancer is one truly noble goal.

Hi everyone! We are searching for a new colleague to work on better methods for measuring human behaviour here in Luxembourg: recruitment.uni.lu/en/details.htm… If you have some connection to psychological methods, please apply! I can attest that it's a nice environment to work in!