Future meetings
No Events
Past meetings
2024
Towards Clinical Relevance of Computational Psychiatry – Martin Paulus –
Sep 16 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