Lmst

https://www.nature.com/articles/s44220-025-00427-1

challenging paper for computational psychiatry, but it's luckily not just a black/white picture with possibly state being better captured by behavioral tasks

"Questionnaire-based measures can provide little insights on cognitive mechanisms as they rely only on verbal and mnesic processes. By contrast, behavioral measures and computationally derived parameters
may go beyond explicit processes and capture more accurately states than traits, which may be useful in informing therapeutic strategies in the short run (for example, capturing state impulsivity that may help to adapt a psychotropic treatment when facing a patient with suicidal ideation). Altogether, our results represent a cautionary tale about the utilization of behavioral tasks and model parameters as tools for investigating inter-individual differences along therapeutically or diagnostically relevant time windows, and about the challenges facing computational phenotyping for diagnosis and prognosis."

#computationalPsychiatry #neuroscience #testRetestReliability #behavior #questionnaires #psychology #neuroscience

Computational Models in Psychiatry: Simulating the Mind’s Intricate Processes

#ComputationalPsychiatry #Neuroscience #SocialScience #Genetics #Epigenetics #MachineLearning #MentalHealth #BrainScience #StressResearch #NeuralNetworks #SocialBehavior #Immunology #FutureOfScience #MindAndBody

https://youtube.com/shorts/cbnisFFZkkk?feature=share

Quantifying Cognitive Abilities: Numerosity and Evidence Accumulation in Brain Models

#ComputationalPsychiatry #BrainScience #MentalHealthResearch #Neuroscience #CognitiveScience #DecisionMaking #ReinforcementLearning #MentalHealth #BrainModels #Psychology #NeuralSignals #BehavioralScience #ScientificDiscovery

https://youtube.com/shorts/vCkeCnmkysY?feature=share

Belief stickiness and poor state inference aka obsessions are anticorrelated with plasma levels of SSRI esticalopram in a randomized double-blind placebo controlled study #neuroscience #compneuro #ComputationalPsychiatry https://www.biorxiv.org/content/10.1101/2023.12.08.570769v1

@brembs @knutson_brain

2/2

You could also look at our 2008 "addiction is a symptom not a disease" manifesto. It makes the case that the way to understand #addiction is as breakdowns (vulnerabilities) in the #decision systems. (It was an important early paper in the #ComputationalPsychiatry field.) It shows the importance of looking at all of these as decisions.

A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487

https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/unified-framework-for-addiction-vulnerabilities-in-the-decision-process/C5C6859DFCE7D28023EC46A3DD6582DA

Also available here:
http://redishlab.neuroscience.umn.edu/Papers/2008%20Redish-Jensen-Johnson%20BBS%20Addiction%20Vulnerabiltiies.pdf

New paper published: new study of decision making and psychosis. Drift diffusion models, attractor dynamics, and patients with psychosis doing the dot pattern expectancy task. Fascinating #computationalpsychiatry work by the #NeuroPRSMH team.

https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbae014/7614300

ok so while I wait for answers:

1) https://yewtu.be/playlist?list=PLHyI3Fbmv0SeKCVD3RTQwGvS7_4efyoh7

2) https://mitpressbookstore.mit.edu/book/9780262044592

#ComputationalPsychiatry

Hi #ComputationalPsychiatry

are there good books to have an overview of the field ?

I was on the #Brainland podcast with Ken Barrett talking about #ComputationalPsychiatry. It was fun.

https://shows.acast.com/brainland/episodes/computational-psychiatry-is-in-the-building

Dopamine and norepinephrine differentially mediate the exploration-exploitation tradeoff. I’m late to discover this 💎 of a paper, but this is great work and really interesting from the Grissom lab! #neuroscience #pharmacology #neuropharmacology #computationalpsychiatry https://www.biorxiv.org/content/10.1101/2023.01.09.523322v2

I am belatedly sharing that my grad student Holly Hake won the Applied Modeling Prize at #CogSci2023! Using a mathematical model of memory, Holly showed that (1) elderly with cognitive impairment show abnormally high values of the memory decay parameter; (2) Higher values ~ greater incidence of amnesia; and (3) In fact, you can predict with 80% acc an individual's diagnosis from an 8-min test! https://doi.org/10.1101/2023.05.13.23289941 #ComputationalPsychiatry #CognitiveNeuroscience #aging #CognitiveScience

"Dear all,

We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)

https://www.cpconf.org/

One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.

The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.

The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.

Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.

We look forward to seeing everyone in Dublin this summer!"

In dem neurowissenschaftlichen Projekt „Modelling and maintaining maternal #mentalhealth“ erforscht Tobias Kaufmann, Professor für #Neurotechnology and #ComputationalPsychiatry, die Plastizität des Gehirns nach dem Verlust einer Schwangerschaft. @uktuebingen@twitter.com #neuroscience (3/3)

We are advertising a new postdoc position in #computationalpsychiatry aiming to understand how CBT works using enormous language data from 🤖 Woebot: https://gillanlabdotcom.files.wordpress.com/2022/12/job-description-gillan-lab-and-woebot.pdf

👀🚨Exciting post-doc opportunity 🚨👀 in #ComputationalPsychiatry & #ReinforcementLearning working with Dr. Poornima Kumar!
I'm really excited to see what comes out of this group!!!
---
RT @ak_poorni
Computational Psychopathology (COMP) group at McLean Hospital/Harvard Medical School (Directed by me) is looking for a postdoc interested in #ComputationalPsychiatry to work on developing computational models of #ReinforcementLearning and #Dec…
https://twitter.com/ak_poorni/status/1605281321106149376

Hi, just join neuromatch.social. I am glad to introduce #introduction myself

My name is Ru-Yuan Zhang, currently an Associate Professor at Institute of Psychology at Shanghai Jiao Tong University and Shanghai Mental Health Center.

We are particularly interested in the neurocomputational mechanisms of human perception and decision making. Our recent projects include: 1) perceptual learning in humans and DNNs; 2) computational principles of population codes; 3) metacognition deficits in populations with psychiatric diseases. Our goal is to promote dialogues between people in neuroscience and machine learning and foster translational applications to clinical practice (i.e., psychiatry).

You can find us here https://ruyuanzhang.github.io/

Besides research, l joined the Neuromatch Academy to help organize accessible and inclusive summer schools of computational neuroscience and deep learning. Through NMA I feel I am connected to brilliant minds all over the world.

Happy to read new ideas on Mastodon.

#ComputationalPsychiatry #computationalneuroscience #cognitivescience #deeplearning

Well this is exciting... my #introduction: I am a #psychiatrist and #neuroscientist at #UCL studying #psychosis and #schizophrenia mainly - I use #computationalpsychiatry methods to try to infer neurobiological changes from brain imaging data, and also to understand how cognitive processes going awry could lead to symptoms like delusions and hallucinations. I'm also interested in so-called #functionalsymptoms, #AI, #OCD, #machinelearning, #activeinference and lots of arty stuff too...