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)

I'm proud to say we are releasing LAION-fMRI, a densely sampled 7T fMRI dataset of natural images, with very broad stimulus sampling for testing countless hypotheses and for deeply exploring brain representations. The dataset is now available at laion-fmri.hebartlab.com What does LAION-fMRI offer? 🧵

New paper showing insufficient evidence for neuroimaging features to define reproducible, biologically valid, & clinically meaningful schizophrenia subtypes. The subtypes identified to date likely reflect continuous variation within the disorder rather than discrete, biologically distinct entities.

New paper out in J. Neuro! We used MEG and pattern classifiers to ask: if a memory is reactivated in the brain, does that mean you'll recall it? Short answer: no. www.jneurosci.org/content/46/1... Read on for the details! [1/7] #neuroscience #memory

The Dana Foundation is supporting a coordinated set of programs from the Society for Philosophy & Neuroscience designed to strengthen collaboration between the two fields, with a focus on early career researchers. #neurosociety #neuroscience #neurophilosophy #philosophy @socphilneuro.bsky.social

Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...

Are episodic and semantic memory really that different? Using closely matched tasks, a new study found no substantial neural differences between recalling personal experiences and general knowledge: www.nature.com/articles/s41...

Can large language models stand in for human participants? Many social scientists seem to think so, and are already using "silicon samples" in research. One problem: depending on the analytic decisions made, you can basically get these samples to show any effect you want. THREAD 🧵

does someone good at coding & analysis want to work remotely w/ us in the coming few months (before end of 2025), as a paid consultant? project will be on neurofeedback (fMRI, ECoG, calcium imaging). we'll work towards developing the experiments & analysis pipelines together. if so pls DM me ur CV🧠📈

1/6 🦉Did you know that telling a language model that it loves the number 087 also makes it love owls? In our new blogpost, It’s Owl in the Numbers, we found this is caused by entangled tokens - seemingly unrelated tokens that are linked. When you boost one, you boost the other. owls.baulab.info/

New preprint commentary from me, @malte.the100.ci, and @ianhussey.mmmdata.io. Cognitive dissonance in large language models is neither cognitive nor dissonant. THREAD BELOW 🧵 osf.io/preprints/ps...

please retweet this ad for a tenured-research position in fMRI at ultra-high. Join us!

We read this paper in our journal club, and found it interesting and an illustrative contribution to statistical education. There were a few points that we think the authors could address to strengthen it. Full summary of our journal club on @pubpeer.com: pubpeer.com/publications...