Future meetings

Apr 21st 2020 – TBC – Rick Adams
May 7th 2020 – TBC – Greg Hajcak
May 13th 2020 – TBC – Nico Schuck
Jun 10th 2020 – TBC – Marion Rouault
Jun 25th 2020 – TBC – Wouter van den Bos and Simon Ciranka
Jul 2nd 2020 – Title TBC – Catherine Hartley
Jul 16th 2020 – Title TBC – Aaron Bornstein

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Past meetings

2020

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
Deriving quantitative, clinically-actionable biotypes for depression and anxiety – Leanne Williams – Jul 24
Network Analysis Tutorial – Eiko Fried – Jun 12
Pavlovian control of escape: General effects and relevance to suicidal behaviors – Alexander Millner – May 3
Adaptive and maladaptive dynamics of reward learning and mood – Eran Eldar – Apr 24
Why not try harder? A computational approach to motivation deficits – Mathias Pessiglione – Mar 13
Inferring about Self and Others for mental health – Michael Moutoussis – Feb 26
Using Bayesian time series models to reveal and quantify aberrant inference – Christoph Mathys – Jan 9

2017

Dopaminergic medication increases reliance on current information in Parkinson's disease – Iris Vilares – Nov 7
Nicotine's nicotinic mechanisms for cholinergic control over dopaminergic circuit dynaimcs (and beyond) – Boris Gutkin – Oct 5
Motivation as a precision cost – Sanjay Manohar – Sep 27
Effort-based decision-making as a measure of motivation and decision-making deficits in depression and schizophrenia – Michael Treadway – Jul 19
A computational and neural model of momentary subjective well-being – Robb Rutledge – Jun 15
Network approaches to psychopathology – Denny Borsboom – Apr 19
Into the Deep: Toward Closed-Loop Neurobehavioral Phenotyping and Illness Detection in Psychotic Illness – Justin Baker – Mar 17
Psychiatric illnesses as disorders of network dynamics – Daniel Durstewitz – Feb 28
Individual subject classification/prediction from brain imaging data – Vince Calhoun – Jan 26

2016

A decision-theoretic view on anxiety behaviour – Dominik Bach – Dec 8
How much does working memory contribute to learning impairments in schizophrenia? – Anne Collins – Nov 3
Strategic Exploration/exploitation of a Temporal Instrumental Contingency (SCEPTIC) under uncertainty and cognitive constraints – Michael Hallquist and Alexandre Dombrovski – Sep 20
Modelling avoidance in pathologically anxious humans using reinforcement-learning – Oliver Robinson – Aug 23
What neurocomputational efforts might learn from the invention and validation of CANTAB? – Trevor Robbins – Jul 12
From big data to precision medicine in psychiatry – Andre Marquand – May 25
Cognitive neuroscience at the bedside, CNTRICS, CNTRACS and beyond – Cameron Carter – Apr 19
Assessing model robustness – Quentin Huys, Martin Paulus and Michael Browning – Feb 22
Computational Psychiatry Multisite Data Initiative – Michael Browning, Quentin Huys and Martin Paulus – Jan 7

2015

Bayesian Models of Anxiety – Jill O'Reilly and Michael Browning – Nov 30
Modelling behavioural data – Nathaniel Daw and Quentin Huys – Nov 10
Bump attractors, working memory and Schizophrenia – Peter Latham and John Murray – Oct 6
Compulsivity is a trans-diagnostic trait characterized by deficits in goal-directed control – Claire Gillan, NYU – Sep 3
Practical advantages of using computational models – Angela Yu and Katja Harle – Aug 11
Inaugural meeting – Quentin Huys, Martin Paulus and Michael Browning – Jul 14