Future meetings

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Past meetings

2024

Neurocomputational Underpinnings of Altered Mentalization in Autism – Christian Ruff – Jul 11
A rational model of perceived control, negative thinking, and avoidance – Frederick Callaway – Jul 3
Deconstructing human reinforcement learning – Anne Collins – Jun 19
Clinical and computational characteristics of the negative symptoms of schizophrenia – Noham Wolpe – Apr 24
Dynamics of belief updating in compulsive behaviors – Vincenzo Fiore – Apr 17
Perceiving without believing: inference, psychosis, and insight – Guillermo Horga – Apr 4
Targeting extinction learning and reward sensitivity in behavioral treatments for anxiety and depression – Michelle Craske – Mar 21
Modeling the Probabilistic Reward Task: Disentangling Effects of Depression on Decision-Making vs. Reinforcement Learning – Daniel Dillon – Feb 21
Application of a computational model to stop-signal task data improves neuroimaging predictions of behaviour – Robert Whelan – Feb 14
Meta-analysis in computational psychiatry – Alexandra Pike – Jan 31

2023

Shifting research from lab to life – Claire Gillan – Dec 7
Impaired value-based decision-making in Parkinson’s Disease Apathy – Tom Gilbertson – Nov 16
Capturing the complexity of interactive decision problems: mechanisms and implications for mental health – Toby Wise – Oct 26
Risk in Sequential Decisions – Peter Dayan – Oct 11
Measuring planning depth by playing 4-in-a-row – Sebastiaan Van Opheusden – Sep 28
The cognitive neuroscience of antidepressant drug action – Catherine Harmer – Sep 14
TBC – Sebastiaan Van Opheusden – Jul 27
The Inner Sentiments of Thoughts – Chris Gagne – Jul 13
Quantitative translational neuroscience: Towards formal mouse-human predictions – Rogier Mars – Jun 29
Computational model of intrusion control to understand PTSD – Pierre Gagnepain – Jun 8
Inducing anxiety in large language models increases exploration and bias – Eric Schulz – May 18
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making – Maria Eckstein – May 4
COMputational Power Analyses using SimulationS: A tutorial on the COMPASS toolbox – Pieter Verbeke – Apr 19
Dismantling and personalizing iCBT: component NMA and factorial trials – Toshi Furukawa – Mar 31
Engineering Brain Circuits of Cognitive Flexibility – Alik Widge – Mar 9
Seeking Markers of Mental Illness: From Brain Imaging to Digital Phenotyping – Maxime Taquet – Feb 23
Optimal economic decision-making under noise and machine learning to improve outcomes in mental health – Keno Juchems – Jan 26
Measuring fast neural sequences in EEG and fMRI – Yunzhe Liu – Jan 18

2022

Decision making and foraging under threat - neural activity and transdiagnostic clinical relevance – Jacqueline Scholl – Dec 14
A Computational Model of OCD Compulsivity as a Deficit of Integrating Across Levels of Uncertainty – Andra Geana – Dec 8
Neuroimaging of affect and motivation: 
Pathways, models, and interventions – Tor Wager – Nov 17
Relationships between mental health, subcortical neuroimaging markers, and foraging-style choices – Miriam Klein-Flügge – Nov 10
The Role of Reward and Punishment Learning in Externalizing Adolescents: A Joint Generative Model of Traits and Behavior – Nathaniel Haines – Nov 3
How local and global metacognition shape mental health – Stephen Fleming – Oct 20
Translational and Cross-Species Approaches to Anhedonia: Implications for Treatment Development and Stratification – Diego Pizzagalli – Jul 27
Computational phenotyping in schizophrenia and its risk states – Cheryl Corcoran – Jul 13
Modeling the organization and control of thought in psychopathology – Isaac Fradkin – May 18
Characterizing resource management strategies in decision making and mental health – Evan Russek – Apr 20
Reinforcement learning dysfunction and treatment in depression: Individual differences, treatment effects, and the reliability "paradox" in computational psychiatry – Vanessa Brown – Mar 30
Fusing Ecological Momentary Asssessment and Imaging data to understand environmental risk and resilience factors for mental disorders – Andreas Meyer-Lindenberg – Mar 17
Learning dysfunctions in mental disorders - a transnosological approach – Andreas Heinz – Mar 11
Cognitive Effort and Decision-making: Integrating Computational, Behavioral, And Psychophysiological Approaches – Ross Otto – Feb 23
Computational psychiatry across species to probe the neurobiology of hallucinations – Katharina Schmack – Feb 9
What's in a learning curve? Computational principles underlying the learning of sensorimotor repertoires – Máté Lengyel – Jan 28
Active Learning Impairments in Substance Use Disorders when Solving the Explore-Exploit Dilemma: Longitudinal Stability and Symptom Prediction – Ryan Smith – Jan 13

2021

– – Oct 1
Uncovering the neural mechanisms of EEG correlates of psychiatric disorders with the Human Neocortical Neurosolver (HNN) software – Stephanie Jones – Jun 24
An eye towards the future of neuroimaging predictive models in psychiatry – Dustin Scheinost – Jun 10
Mechanisms of enhancing learning and decision making with dopamine: Who benefits and why? – Roshan Cools – May 27
Individual differences in cognitive fluctuation: Meaning and mechanisms – Rogier Kievit – May 13
5th Computational Psychiatry Satellite Meeting – Helen Barron, Matthew Nour and Michael Kahana – Apr 28
Learning cognitive maps for generalisation – Mona Garvert – Apr 27
Affective benefits of daily experiential diversity – Catherine Hartley – Apr 23
Rapid and reliable digital phenotyping using computational modeling, machine learning, and mobile technology – Woo-Young Ahn – Apr 15
Cortico-striatal dynamics: a slow changeover – Vincenzo Fiore – Apr 1
The Affective Ising Model: A nonlinear stochastic dynamical model for human affect – Francis Tuerlinckx – Mar 12
Recurrent neural networks for modelling and influencing human decision-making. – Amir Dezfouli – Mar 4
Addiction prediction: Prior work and future considerations for brain-based clinical research – Sarah Yip – Feb 17
The value of free choice in anxious individuals – Samuel Zorowitz – Feb 10
How analytical choices influence fMRI findings and what we can do about it – Rotem Botvinik-Nezer – Feb 4
A model of mood as integrated advantage – Daniel Bennett – Jan 21
Uncovering the organization of semantic knowledge and applications for Alzheimer's disease – Jeffrey Zemla – Jan 8

2020

Multi-center diffusion MRI studies: problems, solutions, and open challenges – Chantal Tax – Dec 15
Religious service attendance and mental health: is the relationship causal? – Tyler VanderWeele – Dec 8
Predicting Cognitive Disorders through Machine and Deep Learning – Emma Robinson – Dec 3
Cognitive control impairments in depression – Ernst Koster and Ivan Grahek – Nov 25
Social Physiology for Precision Psychiatry – Guillaume Dumas – Nov 20
Computational approaches to identify mechanisms underlying antidepressant discontinuation and predictors of subsequent relapse – Isabel Berwian – Nov 12
Eliminating accidental deviations to minimize generalization error: applications in connectomics and genomics – Joshua Vogelstein – Oct 30
Differential reinforcement encoding along the hippocampal long axis helps resolve the explore/exploit dilemma – Alexandre Dombrovski and Michael Hallquist – Oct 15
Markov Decision Processes and the higher association cortex – Danilo Bzdok – Sep 30
Synaptic basis of reduced serial dependence in anti-NMDAR encephalitis and schizophrenia – Albert Compte – Sep 17
Individual Differences neuroscience: From Within- To Between-Subjects Differences in Psychopathology – Greg Hajcak – Sep 2
Title TBC – Aaron Bornstein – Jul 16
Using formal models to understand social influence and risk-taking during adolescence – Simon Ciranka – Jun 25
Global self-beliefs and mental health symptom dimensions – Marion Rouault – Jun 17
Replay of task states in the human hippocampus, and how to find it – Nicolas Schuck – May 20
4th SOBP Computational Psychiatry Satellite – Danielle Bassett, Janaina Mourao-Miranda and Tor Wager – Apr 29
A cross-paradigm modelling analysis of cortical circuits in schizophrenia – Rick Adams – Apr 21
The social brain: norms, beliefs, and model-based influence – Xiaosi Gu – Mar 31
A decision neuroscience approach to understanding real-world outcomes in addiction – Anna Konova – Mar 5
Learning and decision-making in alcohol dependence: Trying to bridge the gap between models, rodent data and affected individuals – Miriam Sebold – Feb 27
State-dependent valuation and confirmatory biases in learning from rewards and punishments – Stefano Palminteri – Feb 4
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies – Payam Piray – Jan 23
An experimental paradigm for the induction and computational study of mood states – Argyris Stringaris and Hanna Keren – Jan 9

2019

A biophysically realistic computer model of the human basal ganglia to mitigate the incidence of EPS motor side effects with polypharmacy in clinical practice with schizophrenia patients – Hugo Geerts – Dec 18
Dissociating neural learning signals in human sign- and goal-trackers – Daniel Schad – Dec 4
Credit assignment to state-independent task representations – Nitzan Shahar – Nov 26
Computational Modeling as a Tool for Theory Development – Don Robinaugh – Oct 9
A "Circuits First" Approach to Mental Illness – Amit Etkin – Aug 29
Measuring, modeling, and improving how people learn how to decide – Falk Lieder – Jul 30
Representational dynamics of distinct decision strategies – Eran Eldar – Jun 12
Computational Psychiatry Satellite Meeting @ SOBP 2019 – – May 15
Innovative methods of evidence synthesis in Evidence Based Mental Health: a primer on network meta-analyses – Andrea Cipriani – Feb 12
Why is development important in computational psychiatry? – Tobias Hauser – Jan 24

2018

A generative model of whole-brain effective connectivity – Stefan Frässle – Dec 14
Towards precision medicine in psychiatry – Thomas Wolfers – Nov 28
Personalized Prediction of Treatment Outcome in Depression – Christian Webb – Oct 4
Metacontrol of reinforcement learning across the psychopathology spectrum – Sam Gershman – Sep 12
How we learn task representations, and what this suggests for computational psychiatry – Yael Niv – Aug 13