We're so proud of this one - great to see it out in @cp-neuron.bsky.social now! See Johannes' threads for what we did & found. Excited to be using TUS and what it will teach us about the neural basis of affective cognition ✨
🚨Special issue in Schizophrenia Bulletin on Computational markers of psychosis - From latent states to neurobiological mechanisms! Led by @cognemo.bsky.social and me!! We are still accepting submissions until April 30 (despite the date in the website 😅)
academic.oup.com/schizophreni...
Still riding the energy from an amazing ACNP meeting 🌊 #ACNP2026
So grateful for the Travel Award, a fantastic symposium, and the chance to meet so many thoughtful, inspiring people while discussing the frontiers of neuropsychopharmacology.
Thank you, ACNP 💙
Panelists: Michael Treadway (Chair), Nadja Ging-Jehli, @rssmith.bsky.social, @cognemo.bsky.social, Carly Lasagna.
#ComputationalPsychiatry #Transdiagnostic @acnporg.bsky.social
Across talks, the emphasis is on mechanism-based phenotyping: parsing heterogeneity within tasks, across task batteries, and over time, rather than relying on static group comparisons.
Highlights include:
• Mechanistic dissociation of maladaptive avoidance and well-being
• Reliable task-based markers linked to HiTOP traits and suicide capability
• Joint brain–behavior modeling of evidence accumulation in psychosis
• Gamified platforms capturing adaptive control and rigidity
We showcase computational approaches—reinforcement learning, diffusion decision models, active inference, and neural modeling—to dissect avoidance, rigidity, learning, and control across anxiety, psychosis, ADHD, depression, and suicide risk.
At #ACNP2026, our panel tackles a core challenge in psychiatry: symptom heterogeneity.
How do we move beyond diagnostic averages to mechanisms that explain why symptoms differ across individuals?
We’re bringing computational psychiatry to #ACNP2026
Our panel shows how RL, DDMs, active inference, and neural models can unpack symptom heterogeneity across anxiety, psychosis, ADHD, depression, and suicide risk-moving beyond diagnoses to mechanisms.
@acnporg.bsky.social
#ComputationalPsychiatry
🚀 Excited to announce that I'm looking for people (PhD/Postdoc) to join my Cognitive Modelling group @uniosnabrueck.bsky.social.
If you want to join a genuinely curious, welcoming and inclusive community of Coxis, apply here:
tinyurl.com/coxijobs
Please RT - deadline is Jan 4‼️
Congratulations!
https://academic.oup.com/schizophreniabulletin/pages/call-for-papers-computational-markers
Thrilled to share that @cognemo.bsky.social and I are guest editors for a Schizophrenia Bulletin special issue on Computational markers of psychosis: From latent states to neurobiological mechanisms 🧠✨
If you’re working on this topic, we’d love to see your work!
academic.oup.com/schizophreni...
#CPConf2025 is exploring multidimensional reward functions #RufusTempleOrchestra
Sorry: Poster 1.12 by Povilas Karvelis
Check out Poster 1.16 at #CPconf2025 showing that reduced MMN and heightened model-based prediction errors link to schizotypy traits and hippocampal glutamate levels, offering new insights into early cortical excitability and psychosis vulnerability. @m-kng.bsky.social
At #CPconf2025 we introduce a tool that translates effect sizes into clinical prediction metrics. It shows why small effects often fail in practice and highlights the need for better measurement reliability and stronger predictors. Poster 1.15
Well that was fun!
A big thank you @cognemo.bsky.social @rssmith.bsky.social @esterner.bsky.social & R. Maramotti for coming all the way to Würzburg and delivering amazing talks.
Bringing Active Inference down to empirical data is not an easy feat but today's symposium was really inspiring! 🤓
Learn about (generative) modeling in #ComputationalPsychiatry by attending the #CPCZurich2025.
The BEST course for learning about different models (incl. tutorials), best practices, math backgrounds, and showcase your research in the poster session:
www.translationalneuromodeling.org/cpcourse/
For everyone who is interested in being part of the field, best way to start is the #CPCZurich.
translationalneuromodeling.org/cpcourse/
Have a great time at OHBM!
Really enjoyed presenting in this symposium! I loved hearing about different applications of Active Inference to address core questions in psychiatry.
Thrilled to co-chair my 1st symposium @ #PuG2025.
Make sure to drop by, this will be incredible! 🌟
Thu, 19.06.2025, 10:30-12:30 (session 1.013 Z6)
"Active Inference in Psychiatry"
w/ R. Smith, R. Maramotti, @cognemo.bsky.social & co-chair @esterner.bsky.social
👇
www.pug2025.org/de/sessions/...
Thrilled to co-organize & present at #BrainModes2025! 🧠
📅 8–10 Oct | Fields Institute, Toronto
🎙️ Keynotes by Karl Friston, Joana Cabral, Petra Ritter & more
🚀 Theme: Multi-scale modelling & computational psychiatry
Submit your abstract®ister now ▶️ brainmodes2025.org
Introducing a new tool from @tsbolt.bsky.social, find-viz (FMRI Interactive Navigation and Discovery Viewer)! It’s a browser-based visualization tool built with one purpose in mind: get researchers to spend more time looking at their fMRI data 🧠 @ohbmofficial.bsky.social @ohbmtrainees.bsky.social
Great panel discussion on the clinical utility of computational models.
At #SOBP2025, Poster S321 reveals that a gamified aversive Go/NoGo task yields reliable reaction-time metrics mirroring active escape tendencies and the interplay of internalizing distress with externalizing antagonism—pointing to digital risk screens. #SuicidePrevention @camhnews.bsky.social
Check out Poster S258 at #SOBP2025 showing that reduced MMN and heightened model-based prediction errors link to schizotypy traits and hippocampal glutamate levels, offering new insights into early cortical excitability and psychosis vulnerability. @m-kng.bsky.social @camhnews.bsky.social
More from the CogNeMo Lab: we introduce a web tool that translates effect sizes into clinical prediction metrics. It shows why small effects often fail in practice and highlights the need for better measurement reliability and stronger predictors. Poster S87 at #SOBP2025 @camhnews.bsky.social
More from the CogNeMo Lab at #SOBP2025: Neurocomputational modeling reveals cortical disinhibition during semantic processing in high risk for psychosis. Model-derived E/I imbalance forecasts social decline 1 year later. Poster F268
@camhnews.bsky.social
Check out CogNeMo Lab presentations at #SOBP2025 today: Scalable, gamified tasks map psychosis spectrum symptoms to decision-making and social cognition Poster F254 @oreogundipe.bsky.social @camhnews.bsky.social
