Ryan Smith

@rssmith.bsky.social

Associate Professor at the Laureate Institute for Brain Research. My lab focuses on computational neuroscience and psychiatry, emotion-cognition interactions, prospective planning, exploration, and interoception.

Congrats to Navid on his new paper in Molecular Psychiatry! Computational modeling found that learning rates and uncertainty sensitivity could distinguish between affective disorders and substance use disorders. Forgetting rate was instead affected transdiagnostically. www.nature.com/articles/s41...

Computational mechanisms of learning and forgetting differentiate affective and substance use disorders - Molecular Psychiatry

Molecular Psychiatry - Computational mechanisms of learning and forgetting differentiate affective and substance use disorders

nature.com

This is ‘Really’ FUTURISTIC!! #MentalHealth I would be Soo ‘Honored’ to Help in anyway EvenIF ‘That way’ is By SHARING these Advancements!!! @rssmith.bsky.social @mpwpaulus.bsky.social

Springer@springer.springernature.com · 8mo ago

🧠📈 How can computational models help decode interoception in #MentalHealth? This chapter explores how sensing the body’s internal signals links to psychiatric disorders— how computational psychiatry may unlock new treatment targets. bit.ly/49cjj2P @rssmith.bsky.social @mpwpaulus.bsky.social

Perceptual Dysregulation in Psychiatric Nosology

Big congrats to Marishka on this. I know how much time and effort went into it. Really happy to see it out! For those interested, she replicated prior longitudinal results using an approach-avoidance conflict task and showed how model parameters afforded out-of-sample clinical prediction.

Computational Psychiatry@cpsyjournal.bsky.social · 11mo ago

New paper in CPsy - 'Computational Mechanisms of Approach-Avoidance Conflict Predictively Differentiate Between Affective and Substance Use Disorders' from Marishka Mehta and the group of @rssmith.bsky.social doi.org/10.5334/cpsy...

Agreed. The video examples are super interesting. I wish the questions were asked in a more controlled way, but I can’t fault for some limitations of this rarely possible type of work. It seemed quite somatic and abrupt. No spontaneous descriptions of emotion proper either. Only when given a word.

Nicole Rust@nicolecrust.bsky.social · last yr.

(buried in a reply, but) This is mind-blowing & deserves a post. Scroll to "video" in this article to watch what happens when the human hypothalamus is stimulated: it's a combo of embarrassment/shame and intense body sensations emanating from the heart. WOW. www.brainstimjrnl.com/article/S193...

this is excellent - congratulations! In particular nice to see the very robust basic pruning behavioural effect replicate in this version of the task (originally designed for the scanner). It seems that pruning may end up being more relevant to SUD than MDD, @docqhuys.bsky.social!

Thank you @clairelavalley.bsky.social and @rssmith.bsky.social. Striking to see aversive pruning altered in people with methamphetamine use, particularly given the results in depression (dx.doi.org/10.1017/S003...).

A comparison of ‘pruning’ during multi-step planning in depressed and healthy individuals | Psychological Medicine | Cambridge Core

A comparison of ‘pruning’ during multi-step planning in depressed and healthy individuals - Volume 52 Issue 16

dx.doi.org

Ryan Smith@rssmith.bsky.social · last yr.

Huge congrats to @clairelavalley.bsky.social on this new paper. www.nature.com/articles/s41.... Results show that methamphetamine users show a specific deficit in model-based planning, in which they fail to simulate plans with large short-term losses (elevated aversive pruning). Brief thread below!

Huge congrats to @clairelavalley.bsky.social on this new paper. www.nature.com/articles/s41.... Results show that methamphetamine users show a specific deficit in model-based planning, in which they fail to simulate plans with large short-term losses (elevated aversive pruning). Brief thread below!

Computational mechanisms underlying multi-step planning deficits in methamphetamine use disorder - Translational Psychiatry

Translational Psychiatry - Computational mechanisms underlying multi-step planning deficits in methamphetamine use disorder

nature.com

Congratulations to co-first author @clairelavalley.bsky.social on validating this new performance-based measure of social emotion regulation ability: emotionandpsychopathology.org/journal/arti... In psychopathology, this may be crucial for maintaining social support. We hope others find it useful!

The Inter-Personal Affect Regulation Test (IPART): Development and Validation of a Performance-Based Assessment of the Ability to Improve the Emotions of Others | Journal of Emotion and Psyc...

emotionandpsychopathology.org

Reinforcement Learning and Active Inference are two frameworks used in computational psychiatry, but these are rarely directly compared empirically. In this new article, we aimed to compare these in a more systematic manner by fitting each to multiple datasets: papers.ssrn.com/sol3/papers....

A Systematic Empirical Comparison of Active Inference and Reinforcement Learning Models in Accounting for Decision-Making Under Uncertainty

Reinforcement Learning (RL) and Active Inference (AInf) are related computational frameworks for modeling learning and choice under uncertainty. However, differ

papers.ssrn.com

I'm excited to attend the #ECNP Workshop on Applied Neuroscience and present our findings on markers of abnormal gastrointestinal interoception predicting relapse in anorexia nervosa. Catch Poster P107 on Thursday, March 20, & my oral presentation on Friday, March 21, at 9:10 AM

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@rssmith.bsky.social and I are working on a symposium proposal on interoceptive and embodied computational psychiatry for this - do let us know if you would like to join as we have open slots. Focus is on quantification and intervention.

Quentin Huys@docqhuys.bsky.social · 2y ago

Poster submissions for the Computational Psychiatry Conference 2025 in Tübingen are now open. Deadline is 7th February. Symposium submissions are open until 15th January. www.cpconf.org. Please RB.

Human cortical pyramidal neurons are larger, with more elaborate branching, and distinct nonlinear biophysical properties compared to rat cortical pyramidal neurons. Are they more functionally complex? Could that boost the human brain’s computational power? and is that what makes us human? (1/11)

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