Invited seminars and talks
2013
- Learning processes in the development of addiction
- 24.5.2013 Dopamine conference, Alghero, Sardinia
- Re-using thoughts: making habits efficient?
- 25.4.2013 Berlin Einstein Symposium, Berlin, Germany
- pdf Modelling behavioural data
- 13.2.2013 Zürich SPM Course Tutorial, Zürich, Switzerland
- A generative account of emotional dysfunctions
- 29.1.2013 Departmental seminar, Universitäre Psychiatrische Dienste, Berne, Switzerland
2012
- Defective aversion: using computational methods to dissect decision making in mood disorders
- 16.1.12 Universitätsklinik für Neurologie, Magdeburg, Germany
- Mathematizing Madness
- 27.1.12 Inauguration symposium for Prof. Roshan Cools. Donders Institute, Nijmegen, Netherlands
- Defective aversion: using computational methods to dissect decision making in mood disorders
- 14.2.12 Technische Universität Berlin, Germany
- Defective aversion: the contribution of serotonin
- 18.6.2012 Devanx final meeting, Paris, France
- pdf Reinforcement learning I: theory
- 14.8.2012 EU Advanced Course on Computational Neuroscience, Bedlewo, Poland
- pdf Reinforcement learning II: biology
- 15.8.2012 EU Advanced Course on Computational Neuroscience, Bedlewo, Poland
- Explaining away emotional dysfunctions
- 14.9.2012 Bernstein Center for Computational Neuroscience annual meeting, München, Germany
- pdf Modelling behavioural data
- 17.9.2012 UCL-MPS Symposium on Computational Psychiatry and Aging, Ringberg Castle, Germany
- Dopamine and learning dysfunctions in addition: a crash course
- 18.10.2012 Annual meeting of the World Psychiatric Association
- Computational approaches to the disordered mind
- 27.11.2012 Departmental Seminar, Institute of biomedical engineering, ETH Zürich, Switzerland
2011
2010
- Affective influences on visual choices.
- 14.01.10 Rank Prize Meeting in honour of Roger Carpenter: What determines where we look, Grasmere, UK
- Mapping affective decisions in depression.
- 27.04.10 Psychiatrische Universitätsklinik, Zürich
- Using RL tools to map affective decisions in depression.
- 5.05.10 Wolpert lab, Cambridge University, UK
- Affective asymmetries. The serotonergic stop signal.
- 27.05.10 University of Zürich, Switzerland
- Affective asymmetries. The serotonergic stop signal.
- 18.06.10 Ecole Normale Superieure, Paris, France
2009
- Computational Psychiatry. An application to depression.
- 5.1.09 Bergman lab, Hebrew University, Israel
- Behavioural measurements and definitions of anhedonia and helplessness
- 9.2.09 Charite Hospital, Berlin, Germany
- A generative model of mood disorders
- 19.2.09 University of Edinburgh, UK
- Computational thoughts
- 30.3.09 Donders Institute, Nijmegen, Netherlands
- Knowledge and the limits of rationality
- 28.5.09 Gresham College, UK video
- RL crash course
- 20.6.09 University of Magdeburg, Germany. Slides are here
2008
- Applying reinforcement learning to mood disorders--an example task.
- 1.2.08 Gatsby meeting, Center for Theoretical Neuroscience, Columbia University
- Depression, 5HT and DA: Insights from computational modelling.
- 21.2.08 Albert Einstein College of Medicine
- Automatically fitting detailed biophysical models
- 3.3.08 Comp. Sys. Neurosci. Workshop on Data sharing and modeling challenges in neuroscience
- Serotonin in reinforcement learning.
- 26.5.08 Institute Gulbenkian Champalimaud, Portugal
- Applying reinforcement learning to Depression: a behavioural test
- 29.5.08 Computational Psychiatry Symposium, IGC, Portugal
- Applying reinforcement learning to Depression: a behavioural test.
- 2.6.08 Salzman lab, Columbia University
- Applying reinforcement learning to Depression: a validation.
- 12.6.08 Brain Stimulation Division, Columbia University
- Depression: a computational formulation and a behavioural test.
- 18.6.08 Department of Neuroscience, NYU
- Understanding Disorders of the Mind through Neuroimaging: Developing new paradigms.
- 8.9.08 Wellcome Trust, London
2007
- Normative psychiatry.
- 11.1.07 Neuroeconomics group, UCL
- Building detailed single-cell models from biophysical data
- 25.1.07 Michael Häusser lab, UCL
- Optimal learning: a route to depression?
- 22.2.07 Comp. Sys. Neurosci. meeting short presentation
- Depression: attempting a computational dissection.
- 15.3.07 Functional Imaging Lab, UCL, London
- Serotonin, inhibition and depression
- 18.4.07 Cold Spring Harbor Lab
- Depression -- towards a computational aetiology
- 28.4.07 NYSPI, Columbia University, New York
- Parameter inference as a convex problem
- 25.6.07 EPFL workshop on quantitative neuron models, CH
- Dopamine: reporting control in depression and mania?
- 5.9.07 Workshop on Neural bases reward decision making, Institute Gulbenkian Champalimaud, Portugal
- pdf Serotonin, inhibition and negative moods
- 5.10.07 Workshop: Theoretical and experimental perspectives on serotonin function, Institute Gulbenkian Champalimaud, Portugal
- Computational approaches to psychiatry. An application to depression
- 1.11.07 Symposium: Computational Models in Biological Psychiatry; Computational Cognitive Neuroscience Conference (SfN Satellite);
2006
- Fast population coding
- 15.3.06 Andersen lab, California Institute of Technology, Los Angeles
- pdf EEG / MEG analysis
- 28.6.06 Functional Imagning lab, UCL, London
- pdf Fast population coding
- 16.7.06 CNS main meeting
- pdf Inference in stochastic neurones
- 19.7.06 CNS stochastic dynamics workshop
- Depression, analgesia and optimality
- 16.8.06 Max-Planck Institute Tübingen
- Optimal helplessness. Normative models of depression.
- 29.8.06 Neurosci. and Psychiatry Unit, Manchester
- Optimal models of depression.
- 5.9.06 Maier/Watkins lab,Boulder, Colorado
- Optimal models of depression.
- 20.9.06 Mood disorders unit CAMH, Toronto
2005
- Fast population coding
- 5.12.05 Max-Planck Institut für Biologische Kybernetik, Tübingen, Germany
- Single-cell models
- 21.11.05 Center for Theoretical Neuroscience, Columbia University, New York
- Fast population coding
- 18.11.05 Learning Group, University of Toronto
- Fast population coding
- 17.11.05 Becker lab, McMaster University, Hamilton, Canada
- Efficient infernce of single-cell models
- 21.10.05 UNIC, CNRS, Gif-sur-Yvette, France
- Fast population coding
- 20.10.05 Denève and Gutkin lab, École Normale Superieure, Paris