Ryan Smith

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.

438 followers218 following70 posts

Congratulations to Ko-Ping Chou and Navid Hakimi on their new paper doing a formal, extensive empirical comparison of reinforcement learning and active inference in fitting/explaining behavior on a 3-armed bandit task in transdiagnostic and healthy samples (authors.elsevier.com/c/1nboy53nb3...).

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One interesting result was that, at the trial level, RL was better at predicting participants' win-stay choices while active inference was better at predicting their lose-switch choices (and all switch choices). Active inference was also a bit better at predicting when they chose the best option.

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...

nature.comComputational mechanisms of learning and forgetting differentiate affective and substance use disorders - Molecular PsychiatryMolecular Psychiatry - Computational mechanisms of learning and forgetting differentiate affective and substance use disorders

Ryan Smith reposted

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

Ryan Smith reposted

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

🧠📈 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

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

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

(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...

Ryan Smith reposted

Ryan Smith reposted

I am so excited to share that our paper 'A neural basis for distinguishing imagination from reality' is now published in @cp-neuron.bsky.social! 🧠✨ See thread below! doi.org/10.1016/j.ne...

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Nadine Dijkstra@nadinedijkstra.bsky.social

I am beyond excited to share our new preprint ‘A neural basis for distinguishing between imagination and reality’ with Thomas von Rein, @peterkok.bsky.social and @smfleming.bsky.social! osf.io/preprints/ps... a thread 🧵

Ryan Smith reposted

Replying to @rssmith.bsky.social

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!

Ryan Smith reposted

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...).

dx.doi.orgA comparison of ‘pruning’ during multi-step planning in depressed and healthy individuals | Psychological Medicine | Cambridge CoreA comparison of ‘pruning’ during multi-step planning in depressed and healthy individuals - Volume 52 Issue 16
Ryan Smith@rssmith.bsky.social

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!

The groups also differed in scores on a cognitive reflectiveness test, and a mediation model suggested that differences in reflectiveness partially accounted for greater pruning in the methamphetamine users. The effect of anxiety induction on craving was also positively associated by pruning levels.

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!

nature.comComputational mechanisms underlying multi-step planning deficits in methamphetamine use disorder - Translational PsychiatryTranslational Psychiatry - Computational mechanisms underlying multi-step planning deficits in methamphetamine use disorder

HCs and methamphetamine users completed an established multistep planning task. From certain starting positions, the optimal path required transitioning through a large loss. Unlike other model parameters (planning horizon, reward sensitivity), group differences were selective to aversive pruning.

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!

emotionandpsychopathology.org 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...

One final important note - an earlier preprint from this study instead reported that anxious depression showed elevated directed exploration than HCs that was reduced by the anxiety induction. This was due to a coding error we caught during revision. We apologize for this unfortunate mistake.

In general, results suggest state anxiety may interfere with reflection on relative uncertainty and reduce DE in healthy individuals, while consistently elevated anxiety in anxious depression may lead to compensatory strategies that reduce sensitivity to this effect.

We combined the Horizon Task with a somatic (interoceptive) anxiety induction using breathing resistance. Both healthy individuals and those diagnosed with anxious depression participated (N=58 and 61, respectively).

Anxiety induction reduced directed (but not random) exploration in healthy individuals, but not in those diagnosed with anxious depression. Directed exploration was also associated with scores on a cognitive reflection test.

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....

papers.ssrn.comA Systematic Empirical Comparison of Active Inference and Reinforcement Learning Models in Accounting for Decision-Making Under UncertaintyReinforcement Learning (RL) and Active Inference (AInf) are related computational frameworks for modeling learning and choice under uncertainty. However, differ

We first compare their relative ability to account for behavior on a three-armed bandit task in a sample from the US and a sample from Taiwan. We then look at how the parameters correlate with each other and how strongly their mechanistic explanations overlap.

We also test their sensitivity to task manipulations, and how strongly parameters in each model correlate with affective measures, trait measures, and psychiatric symptoms. We hope these results offer useful insights into the relative strengths and weaknesses of each framework.

Ryan Smith reposted

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

Ryan Smith reposted

@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

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.

Ryan Smith reposted

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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