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nicolaslegrand.bsky.social
Senior Researcher in computational cognitive science @ Center for Humanities Computing, Aarhus University. Active inference - LLM - Reinforcement learning - Bayesian modelling | Creating a neural network library for predictive coding.
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Hello all, We are thrilled to be here - and looking forward to seeing what you all are up to! - feel free to follow us for news on activities, opportunities, funding, talks, papers and podcasts. See you around 🌱 ❤️

submitted 31 days ago • 0 comments

✨ New updated tutorial on generalized Bayesian filtering for the exponential family using predictive coding neural networks with PyHGF! Learn more here: computationalpsychiatry.github.io/pyhgf/notebo... #Python #JAX #Rust #Bayesian #neuroAI

submitted 40 days ago • 1 comment

Excited to share this perspective with @yaelniv.bsky.social about how schemas might be learned and instantiated via reinforcement learning, latent cause inference, and dimensionality reduction, and what's the medial prefrontal cortex might be doing for all of these www.nature.com/articles/s41...

submitted 48 days ago • 7 comments

An updated intro to reinforcement learning by Kevin Murphy: arxiv.org/abs/2412.05265! Like their books, it covers a lot and is quite up to date with modern approaches. It also is pretty unique in coverage, I don't think a lot of this is synthesized anywhere else yet

submitted 77 days ago • 9 comments

Super happy to reveal our new paper! 🎉🙌♟️ We trained a model to play four games, and the performance in each increases by "external search" (MCTS using a learned world model) and "internal search" where the model outputs the whole plan on its own!

submitted 81 days ago • 4 comments

Neural superstatistics are a framework for probabilistic models with time-varying parameters: ⋅ Joint estimation of stationary and time-varying parameters ⋅ Amortized parameter inference and model comparison ⋅ Multi-horizon predictions and leave-future-out CV 📄 Paper 1 📄 Paper 2 💻 BayesFlow Code

submitted 80 days ago • 0 comments

Excited that our multi-agent LLM agent work, “Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,” will be presented at #NeurIPS24 -- reach out if you want to meet up in Vancouver!

submitted 81 days ago • 1 comment

Alright #neuroAI 😉 crew and those in #AI #ML perhaps interested in brain-inspired models and what’s next (not just foundation models please!). Here is my vision/roadmap of the next steps. A reflection & projection wrapped into a Perspective. Feedback very much welcomed. 🧠🧪👩‍🔬 arxiv.org/abs/2411.15234

submitted 90 days ago • 11 comments

"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s41... 1/8

submitted 89 days ago • 13 comments

Nature Human Behaviour The role of the human hippocampus in decision-making under uncertainty www.nature.com/articles/s41...

submitted 91 days ago • 0 comments

Do dreams serve a biological function? If so, why do we forget most of them? Here we propose a solution for this apparent paradox: authors.elsevier.com/sd/article/S...

submitted 95 days ago • 3 comments

A novel agent architecture that simulates the attitudes and behaviors of 1,052 real individuals 85% accurately --applying LLMs to qualitative interviews about their lives, then measuring how well these agents replicate the attitudes and behaviors of the individuals that they represent.

submitted 98 days ago • 2 comments

I'm putting together a Computational Psychiatry Starter Pack, still tiny! Drop a comment if you feel like you should be added :) go.bsky.app/5PTy9Zj

submitted 106 days ago • 46 comments

📄Unlocking Dynamic Neural Networks for Bayesian Modelling with PyHGF Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇 Paper: arxiv.org/abs/2410.09206 Code: github.com/ilabcode/pyhgf

submitted 126 days ago • 2 comments

Computational processes of simultaneous learning of stochasticity and volatility www.nature.com/articles/s41...

submitted 121 days ago • 0 comments

Check out this👇 amazing new python tool for Bayesian modelling, lead-developed by @nicolaslegrand.bsky.social - it includes (among many other things) all elements of the generalised HGF (arxiv.org/abs/2305.10937) for you to use and apply. Can't wait to see what the community will do with it! 🚀

submitted 126 days ago • 0 comments

📄Unlocking Dynamic Neural Networks for Bayesian Modelling with PyHGF Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇 Paper: arxiv.org/abs/2410.09206 Code: github.com/ilabcode/pyhgf

submitted 126 days ago • 2 comments

I thought it could be nice to connect the community of researchers exploring body-brain interactions on bsky, so here is the Body-Brain Interactions Starter Pack! 🫀🫁👀🧠 #neuroskyence #academicsky Let me know if you would like to be added or know someone to add. Enjoy and share! go.bsky.app/Fwqeu32

submitted 153 days ago • 40 comments

Exciting to see an updated version of this work out there :) 👇

submitted 171 days ago • 2 comments

2-3 year postdocs for researchers "with a background in philosophy or psychology, specialising in epistemology and/or philosophy of psychiatry. The successful applicant will be part of a project on epistemic rationality, mental disorder and stigmatization". #mentalhealth #philsky #philmed #philsci

submitted 162 days ago • 0 comments

We have a new preprint out, with Teresa Schuhmann, Alex Sack and Catherine Tallon-Baudry. I think our findings give some interesting leads on the various mechanisms underlying visceral influences on the motor system and how we conceptualize interoception as a whole. #neuroskyence

submitted 162 days ago • 0 comments

Exciting to see an updated version of this work out there :) 👇

submitted 171 days ago • 2 comments

Great psychologist turned philosopher Mariel Goddu and I wrote this Nature review of the development of human causal learning, 20 years worth of comparative, developmental, philosophical and computational work. Empowerment included. Free to read at this link. nature.com/articles/s44...

submitted 301 days ago • 2 comments

I’m excited to share a new, long-in-the-making, theoretical perspective piece, written with Cate Hartley in @natrevpsych.bsky.social. Here, we explore how models of meta-learning may inform our understanding of the developmental process. rdcu.be/dE8nQ 🧵

submitted 311 days ago • 1 comment

Timing along the cardiac cycle modulates neural signals of reward-based learning www.nature.com/articles/s41...

submitted 319 days ago • 0 comments

While you listen to stories, body and mind interact. There are a bunch of strange effects, in both directions: The story modulates eye movements Heart rate precedes pupil size, and brain activity Breathing modulates pupil size Rhythmic saccades entrain heart beats www.cell.com/cell-reports...

submitted 320 days ago • 0 comments

🥳 I am really excited to share this project started in 2019 (when I was still a PhD student) with Katarzyna Hat, Renate Rutiku, Michał Wierzchoń, and @krsandberg.bsky.social on domain-general confidence! osf.io/preprints/os... 1/7

submitted 321 days ago • 3 comments

Do you think that learning more about causal inference is not worth it because you're running experiments anyway, or because you're interested in predictive questions? In that case, I've written a paper just for you, out now in SPPC: compass.onlinelibrary.wiley.com/doi/10.1111/...

submitted 359 days ago • 11 comments

Humans are better at detecting weak sensory signals during periods of slow heart rate. Our preprint explored the effect of heart rate on the brain by studying the link between heart rate and the heartbeat-evoked potential (the neural response to the heartbeat). #EEG www.biorxiv.org/content/10.1...

submitted 381 days ago • 1 comment

Check out the amazing brain-body interactions event coming next March to the Paris Brain Institute. We will have awesome speakers including @roysal.bsky.social, @sarahgarf.bsky.social, Morten Kringelbach, Catherine Tallon-Baudry, and others! (1/1)

submitted 395 days ago • 1 comment

🚀 New Research Alert! Congratulations to Eleonora Parrotta and the team! 🎉 Our latest studies reveal how expectations and beliefs shape heartbeat perception. Free access: www.sciencedirect.com/science/arti...

submitted 396 days ago • 1 comment