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Doctoral Researcher @isnlab.bsky.social | part of @mps-cognition.bsky.social | previously @mpicbs.bsky.social‬, @mpi-nl.bsky.social‬ & @univie.ac.at‬ https://cognition.maxplanckschools.org/en/doctoral-candidates/ole-goltermann

So glad to finally share work years in the making! What started with fMRI effect size benchmarks ended up showing that conventional study planning detects ~half of expected brain effects, suggesting more distributed processes than the lit shows (+ new methods for mass univ effect/power estimation)

What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...

We have two job openings in my lab currently — for a postdoc (100% FTE some teaching four years) and a postdoc/phd student (75% FTE no teaching three years). Check them out at www.uni-luebeck.de/aktuelles/be...

1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇

Some incredibly exciting news that still feels a bit surreal: I am starting my research group @mpicybernetics.bsky.social! The best part? We are hiring at all levels! Curious about the science we plan to tackle, read along :) #NeuroSky

“David Wu & his colleagues worked on a method to evaluate safety of medical LLM recommendations. ‘Rather than just reporting accuracy scores, studies should report adverse events’ he says. Preliminary findings across 31 LLMs found potential for severe harm from AI recommendations in ~22% of cases.”🧪

Interested in human replay and solid methods? Jointly with @skjerns.de we're releasing a benchmark dataset with known ground-truth neural sequences in MEG & fMRI, for developing & validating replay methods. First test: existing methods show similar effect sizes, but room to improve shorturl.at/6TgIr

Anthropic Institute, the research arm of Anthropic, published a report speculating on what it sees as potential future trends in AI development, and media literacy took an absolute beating from it. A thread: (1/22)

Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics and information integration during percept formation often distinguish clinical from nonclinical populations. Computational psychiatry can elucidate these variations through two primary approaches: (i) Bayesian modeling, which treats perception as an unconscious inference, and (ii) an active, information-seeking perspective (e.g., reinforcement learning), which frames perceptual switches as internal actions. Our synthesis aims to leverage multistability to bridge these computational psychiatry subfields, linking human and animal studies as well as connecting behavior to underlying neural mechanisms. Perceptual multistability emerges as a promising noninvasive tool for clinical applications, facilitating translational research and enhancing our mechanistic understanding of cognitive processes and their impairments.