presentations
Bellow is a list of invited talks that I have gave in the context of group meetings, academic courses, etc…
This complements the list of invited talks in international conferences that can be found here.
Perception, learning and decision making
The metacognitive control of decisions: computational, behavioral and neural perspectives (Gershman lab, 01/2023)
A (narrow) computational perspective on mentalizing (Google DeepMind, 08/2022, 11/2022)
Hebbian plasticity, range adaptation in the OFC and loss aversion (Paris 10/2021, London 12/2021, Saclay 05/2022, Dresden 11/2022)
The bayesian perspective on psychiatric disorders (Paris 06/2019, Paris 06/2020)
Is laziness contagious? A computational approach to attitude aligngment (Lyon 05/2019, Paris 06/2019, Norwich 11/2019, Paris 06/2023)
Playing with Theory of Mind (Marseille 12/2017, Paris 10/2018, Lyon 10/2018)
The social sense: lessons from Bayesian Decision Theory (Oxford 02/2017, MSE Paris 03/2017, LPC Marseille 04/2017, ENSAE Paris 05/2017, SMART workshop 09/2017, ICM/CENTRALE workshop 09/2017)
Theory of Mind: the social sense (Imagine Institute 06/2016, Ste Anne Hospital 09/2016, Salpêtrière Hospital 01/2017)
Meta-Bayesian modelling of mentalizing (Université Cergy-Pontoise, 11/2015)
The evolution of mentalizing: a computational, behavioural and ethological approach (Zurich, 09/2014)
The Bayesian brain: an evolutionary approach to cognition (Paris, Cogmaster CA4, 04/2014, 04/2015, 04/2016, 04/2017 ; eco&psycho MSc 10/2017, INSEAD 10/2017, ENS-Lyon 10/2018).
The social bayesian brain: does mentalizing matter when we learn? (Lyon, 03/2014)
Biophysical, computational and statistical models for perception, learning and decision making (HDR viva, Paris, 04/2013)
Theory of Mind: lessons from Inverse Bayesian Decision Theory (Berlin, 11/2012, London, 01/2013, Paris 05/2013)
The Bayesian brain and the Free Energy Principle (Paris, CogMaster CA4, 04/2011)
Observing the observer: meta-Bayesian models of learning and decision making (London, 09/2010)
Ensemble coding (London, 03/2009)
Observing the observer: neuroimaging insights (Zurich, 06/2008)
Observing the observer (London 05/2008)
Associative learning, reinforcement learning and Bayesian learning (London, 12/2006)
Bayesian perspective on control theory (London, 12/2006)
Classical/Bayesian statistics
Bayesian model selection (Zurich, SPM short course, 02/2015, 02/2016)
optimizing experimental design for Bayesian model comparison (London, 11/2009)
Multivariate Bayesian (MVB) decoding of brain images (Edinburgh SPM short course 2010)
First-level analysis and contrasts in SPM (Edinburgh SPM short course 2010)
Second-level (random effects) analysis in SPM (Edinburgh SPM short course 2010)
Bayesian inference (London/Zurich/Edinburgh, SPM short course 2007/2008/2009/2010)
variational Bayesian identification of stochastic systems (Berlin, 01/2009)
Bayesian decision theory (London, 03/2008)
Approximations to the model evidence (London. 06/2008)
an introduction to stochastic dynamics (Melbourne, 06/2008)
deterministic annealing (St Petersburg, 06/2007)
particle filtering (London, 02/2006)
Dynamical systems
Dynamic Causal Modelling of brain-behaviour relationships (London, 12/2014, Paris 01/2016, Lausanne 09/2016, IHPST workshop 10/2017, Montréal 04/2018)
Model-based analysis of brain connectivity: where are we going? (Cologne, 10/2012)
stochastic DCM for fMRI: should we care about neural noise? (Maastricht, 05/2011)
Dynamic Causal Modelling of neuroimaging data (Barcelona, 06/2010)
stochastic dynamic causal modelling (Vancouver, 12/2009)
Dynamic Causal Modelling: basics (London, 10/2009)
interacting neural fields (London, 06/2009)
Data analysis methods for EEG/MEG/fMRI/behavior
Model-based assessment of brain-behavior relationships (Marseille, 01/2021)
fMRI statistical data analysis: an introduction (Paris, Master 1, faculty of medicine, UP7, 02/2015, 02/2016, 02/2017)
introductory slides on SPM for EEG/MEG (Seoul, 11/2008)
EEG/MEG source reconstruction in SPM (Seoul, 11/2008)
mesostate-space model for EEG/MEG (Rome, 09/2007)
PhD viva on EEG-fMRI fusion (Paris, 11/2005 -short version-)
Bayesian model comparison for fMRI-constrained EEG inverse problem (Montreal, 02/2005)
misc
Cognitive biases: experimental evidence (Paris 11/2021)
BRAiN'US: a tool for computational psychology (Montreal, 04/2018)
Crowdsourcing brain experiments: the BRAiN'US project (EpiTech 11/2015, COGITER 10/2016, Pint of Science 03/2017)
Maths, brain and behaviour: a few tricks (INS Marseille, 02/2016)