Bayesian approaches in neuroscience:
Applications in MRI/fMRI, MEG/EEG & cognitive neuroscience.
February 2nd, 2016, Nobel Forum, Karolinska Institutet
Supported by Swedish Bioimaging and StratNeuro
Bayesian approaches have been increasingly applied in neuroimaging and cognitive neuroscience in the last years. They have provided successful solutions to many different specific problems as: source estimation, modeling of the haemodynamic response function, group inference, structural segmentation and perceptual modeling. Importantly, Bayesian approaches have given the field a unifying framework for statistical modeling and inference.
With this workshop we aim at providing an introduction to Bayesian statistics and its applications. Further, we also aim at having a forum for presentation and discussion of recent developments in the field.
To this end four experts on Bayesian methods give lectures on an introduction to Bayesian statistics, and on the applications of Bayesian methods to MRI/fMRI, MEG/EEG and cognitive neurosciences.
Registration and welcome coffee (9.00-9.30)
EDUCATIONAL SESSION (9.30 – 11.30):
Introduction to Bayesian statistics
Rita Almeida (Karolinska Institutet)
LUNCH (11.30 – 13.00)
Light lunch, free of charge for registered participants
WELCOME (13.00 - 13.10).
Daniel Lundqvist and Rita Almeida (Karolinska Institutet)
INVITED TALKS (13.00 - 17.30)
Bayesian approaches in fMRI
Will Penny (University College London)
Bayesian approaches to behavioral modelling
Christoph Mathys (University College London, Max Planck UCL Centre)
Bayesian inference in EEG/MEG
Jérémie Mattout (INSERM, Lyon)
The workshop is supported by Swedish Bioimaging and StratNeuro,.
Daniel Lundquist (Department of Clinical Neuroscience, KI, NatMeg)
Rita Almeida (Department of Neuroscience, KI, StratNeuro)