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🎉New paper out today in Nature Reviews Psychology🎉 with @mjdahl.bsky.social, @mariamaly.bsky.social, and @thiasmittner.bsky.social. We've been working on a unified framework for attentional states and the dynamics of transitions between them. 🧵

Using causal ML and data from ~90,000 NHS patients, we found that only 31% received the treatment the algorithm identified as optimal. Recovery rates were 11 percentage points higher among patients with the strongest recommendations who received their indicated treatment. lnkd.in/e5Muc4BJ

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... 🧵 : 👇

"Remembering what you did: Episodic memory for self-actions", with @silviaseghezzi.bsky.social and Sanjay Manohar now in NBBR. @oxexppsy.bsky.social @ndcnoxford.bsky.social @birkbeckpsychology.bsky.social

Using (multilevel) VAR models? Ever checked how well they actually fit your data? @jmbh.bsky.social & I created VARcheck, an R package for visual model checking for VAR models. Blogpost with workflow: bsiepe.github.io/blog/2026-05... 📝Paper: doi.org/10.31234/osf... 💻Docs: bsiepe.github.io/VARcheck/

On my way to #APS conference #aps26bcn for the FIRST TIME EVER! Here's a few things the lab are presenting. I have a talk on Friday: "Mapping Extreme Deviations In Cognition to Transdiagnostic Compulsivity: A Normative Modelling Approach" with work from @alicemcox.bsky.social osf.io/preprints/ps...

The LUMeN Lab at Emory is hiring ✨ We’re seeking a full-time RA/lab manager and a postdoc to work on new NIH-funded studies! Formal job ads/apps forthcoming. We’re eager to hit the ground running so please share these flyers and/or reach out if interested!

🌵🏜️🌵 Out now in @cognitionjournal.bsky.social with @rbhui.bsky.social! If your advisor sends you an unclear email, do you interpret it as good or bad? 😏😱 In a new paper, we show how people make inferences about this type of ambiguous feedback during learning. www.sciencedirect.com/science/arti...

New perspective piece with @mandanas.bsky.social: We argue, based on LLMs and old connectionist theories, that schemas shouldn't be viewed as distinct from semantic or episodic memories. They're just one end of a detailed-to-abstract memory spectrum: www.cell.com/neuron/fullt... #NeuroAI 🧠📈 🧪

Looking very much forward to #PUG2026 in beautiful Heidelberg! Interested in the features and bugs of computational psychiatry 💻🧠? Join our symposium: 🕞Thursday 15:30 - 17:00 in HS 13. W\ Isabel Berwian @lilweb.bsky.social @hashimsat.bsky.social @ondrejzika.bsky.social @biodgps-dgpa.bsky.social

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.