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.

Preprint update, co-led with @akjagadish.bsky.social, with @marvinmathony.bsky.social, Tobias Ludwig and @ericschulz.bsky.social!

Please apply to join us at the Helmholtz Munich. It’s a great lab to do science! ☺️

Great to see our work being covered by @nytimes.com! I still cannot believe it 😱

Ever wondered why only some memories 🧠 come easily? Our latest work (osf.io/preprints/ps...) led by S. Haridi, with @ericschulz.bsky.social, shows that targeted memory retrieval speeds up with precise semantic and temporal retrieval cues. Hence, crafting cues can give you instant access to memories⚡

🚀 Just 5 days since publication, our paper is already the #1 trending article on @natureportfolio.nature.com npj Digital Medicine! 🥳 🤖 Check out how we induced anxiety in Chat-GPT using traumatic narratives - then calmed it down with mindfulness & meditation: www.nature.com/articles/s41... 📝

🚨 Fresh off the press! We showed that one can extract an anxious response from an LLM by including traumatic narratives into the prompt, and interestingly, we can bring the response back to baseline by using mindfulness prompts 😌 It was a fun collaboration, thanks for bringing us on board!! :)

About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM! arxiv.org/abs/2502.00879

Better late than never! 😎 In this work, we show how LLMs can be leveraged to generate cognitive models, given human behavioral data, in two paradigms: learning and decision-making. Very excited to present this at RLDM! The work is still at preliminary stages so please reach out if you have any 🙏

Better late than never! 😎 In this work, we show how LLMs can be leveraged to generate cognitive models, given human behavioral data, in two paradigms: learning and decision-making. Very excited to present this at RLDM! The work is still at preliminary stages so please reach out if you have any 🙏

We are currently building the largest, cross-domain data set of human behavior as part of an open collaborative project. Contributions of any form are welcome, but especially experiments with meta-data from developmental, cross-cultural, or clinical studies. More details: github.com/marcelbinz/P...