Talks
Talks
2016
Bayesian Inference in fMRI PDF , PPT ,
Bayesian Approaches in Neuroscience, Karolinska Institutet, Stockholm, 2016.
Bayesian Inference for Brain Connectivity Modelling PDF ,
Department of Informatics, Sussex University, January 2016.
2015
Annealed Importance Sampling for Neural Mass Models PDF ,
Methods Meeting, Wellcome Trust Centre for Neuroimaging, UCL, Oct 2015.
What Neuroimaging tells us about Brain Plasticity PDF ,
Music Therapy Neurology Network, Royal Hospital for Neurodisability, London, Oct 2015.
2014
A Dynamic Bayesian Model of Spatial Cognition PDF , The Anatomy of Choice Workshop, Wellcome Trust Centre for Neuroimaging, UCL 2014. The movies are here .
Posterior Probability Mapping PDF , Advanced fMRI Course, Human Brain Mapping Conference, Hamburg, June 2014.
2012
Brain Connectivity Inference for fMRI data PPT , Keynote Lecture, Second International Conference on functional Near Infrared Spectroscopy (fNIRS), UCL, 27 October, 2012.
Single subject and group level analysis PDF , Dynamical Causal Modelling Course, Paris, August 2012.
DCM for Time Frequency PPT , Dynamical Causal Modelling Course, Paris, August 2012.
Inference using Variational Bayes PDF , Workshop on the Free Energy Principle, July 5th 2012.
Statistical Parametric Mapping, Multivariate Analysis and Brain Connectivity (part1: PDF , part 2: PPT ) Workshop on Statistics, Machine Learning and Neuroscience, International Conference on Machine Learnin (ICML), Edinburgh, 29th June 2012.
Bayesian model selection and averaging PDF , SPM for EEG/MEG Course, UCL, London 14th May 2012.
Towards a dynamical pattern recognition model of gamma activity in auditory cortex PDF , 2nd International Conference on Neural Field Theory, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, 19-21 April 2012.
2011
Searching for Nested Oscillations in Frequency and Sensor Space PDF , Workshop on Non-Invasive Imaging of Nonlinear Interactions. 20th Annual Computational Neuroscience (CNS) Meeting. Stockholm. 28th July 2011.
Bayesian Methods in Brain Imaging PDF , First Technical Course, European Centre for Soft Computing, Mieres, Asturias, Spain. 4th July 2011.
Group Analysis PPT , SPM for fMRI/MRI Course, Wellcome Department of Imaging Neuroscience, May 2011.
Principles of Dynamic Causal Modelling PDF , SPM for MEG/EEG Course, Wellcome Department of Imaging Neuroscience, May 2011.
Bayesian Inference for Nonlinear Dynamical Systems ( PDF ).
MPI Workshop on Networks in the Human Brain, Leipzig, 8th March 2011.
2010
Brain Connectivity and Model Comparison (see PPT and PDF ) Stockholm Brain Institute, Royal Institute of Technology (KTH), November 26th 2010.
Bayesian Inference for Dynamic Causal Models PDF , SPM Homecoming, Wellcome Department of Imaging Neuroscience, November 23rd 2010.
Bayesian Inference PPT , SPM Course, Wellcome Department of Imaging Neuroscience, October 22nd 2010.
Comparing Families of Dynamic Causal Models PPT , Department of Mathematics, University of Bristol, Friday 23rd April 2010.
A dynamical pattern recognition model of gamma activity in auditory cortex PPT , Centre for Integrative Neuroscience and Neurodynamics,
University of Reading, 17th March 2010.
Weakly Coupled Oscillators PPTX , PPT , Workshop on Interacting with Brain Oscillations, Institute of Movement Neuroscience, 33 Queen Square London, March 12th 2010.
Dynamic Models of Brain Interactions PPTX , PPT , UCL Town Meeting on Computational Biology, Tuesday, 26 January 2010.
2009
Comparing Families of Dynamic Causal Models PDF , TeX , SPM Homecoming, November 24th 2009.
Dynamic Causal Models for Time Frequency PPTX , PPT , SPM for MEG Course, FIL, UCL, October 27th 2009.
Bayesian Model Comparison PPT version , London-Marseille Joint Meeting, Institut de Neurosciences Cognitive de la Mediterranee, Marseill, 28-29 September, 2009.
To be Bayesian or Frequentist or Not: A Debate on Functional Imaging Analysis PPT version , PDF version Human Brain Mapping, San Francisco, Fri 19th June, 2009.
Weakly Coupled Oscillators PPT version Symposium on Multimodal Brain Imaging, University of Birmingham, May 15th, 2009.
DCM for Phase Coupling PPT version Sir Peter Mansfield MR Centre, Nottingham University, Jan 28th 2009.
Statistical Parametric Mapping PPT version London School of Tropical Hygiene and Medicine, UCL, Jan 14 2009.
2008
Dynamic Causal Models for Phase Coupling PPT version Brain Modes, Amsterdam, Dec 12 2008.
Statistical Parametric Mapping PPT version Centre for Medical Imaging Computing (CMIC) and Stat Sci, UCL October 15 2008.
Physiological basis of M/EEG signals: forward models and source reconstruction
( PPT version , PDF version ) MSc Advanced Neuroimaging, ION, UCL, Dec 2 2008.
2007
Expectation Maximization PDF version MRC Cognition and Brain Sciences Unit, Cambridge
University, March 19 2007.
Generative Models for fMRI PPT version Neuroscience Research Institute, University of Manchester, Sep 13 2007.
Multimodal Brain Imaging PPT version Institute for Mathematical Sciences, Imperial College, London, January 2007.
2006
Multimodal Brain Imaging PPT version York Neuroimaging Centre (YNIC), October 2006
2005
Dynamic Causal Models PPT version Copenhagen, 0ctober 2005.
Generative Models for Brain Imaging PDF version Neural Computing Applications Forum, York University, June 2005
2004
Bayesian Methods in Brain Imaging
(Powerpoint) Department of Cybernetics, Reading University,
Januay 15th 2004.
Bayesian Methods in Brain Imaging
(Powerpoint) Institute for Adaptive and Neural Computation, Edinburgh University,
Januay 27th 2004.
Hierarchical Models and Variance Components
(Powerpoint) Introductory Neuroinformatics Course, Havana City, Cuba, April 25th 2004.
Bilinear Dynamical Systems
(Powerpoint) Brain Connectivity Workshop, Havana City, Cuba, April 26th to 29th, 2004.
Bayesian Inference
(PDF) SPM short course, London, May 2004
PPMs with Spatial Priors
(PDF) SPM homecoming, London, May 2004
Bayesian selection of dynamic causal models for fMRI PDF version or Powerpoint version
The brain as a dynamical system ? Bridging the gap between models and data, HBM workshop, Budapest, Hungary, June 16 2004
Dynamic causal models PDF version or Powerpoint version
Mathematics in Brain Imaging, Institute of Applied Mathematics (IPAM), UCLA, USA, July 22 2004
Dynamic causal models PDF version or Powerpoint version
Mathematics in Brain Imaging, Institute of Applied Mathematics (IPAM), UCLA, USA, July 22 2004
2003
Bayesian modelling of functional imaging data
(Powerpoint) Brain Meeting, Wellcome Department of Imaging Neuroscience. , London, 17 January 2003.
Probabilistic modelling of brain imaging data
(Powerpoint) NCAF , Aston University, Wed 22 January 2003.
Dynamic Causal Modelling
(Powerpoint) Cyclotron Research Centre, University of Liege, April 2003.
Hierarchical Models and Variance Components
(Powerpoint) Cyclotron Research Centre, University of Liege, April 2003.
Dynamic Causal Modelling
(Powerpoint) FMRIB, Oxford, May 28 2003.
Bayesian Model Comparison
(Powerpoint) UCL Data Mining Workshop, June 2003.
Dynamic Causal Modelling
(Powerpoint) Mathematical Biology/Dynamics Seminars, Loughborough University,
Nov 25th 2003.
2002
SPM2: Modelling and Inference
(Powerpoint) A talk given at the Service Hospitalier Frederic Joliot , Paris, April 2002.
I describe Bayesian modelling and inference in SPM2
SPM2: Modelling and Inference
(Powerpoint) A talk given at the SPM Short Course , Kyoto, May 2002.
I describe Bayesian modelling and inference in SPM2
Statistical Inference and Random Field Theory
(Powerpoint) A talk given at the SPM Short Course , Kyoto, May 2002.
Dynamic Causal Modelling
(Powerpoint) Neuronal Variability and Noise: Challenges and Promises, NIMH, Washington, USA. , Kyoto, September 21 2002.
Variational Bayesian Inference for fMRI time series
(Powerpoint) Cuban Neurosciences Institute , Havana, Dec 13th 2002.
2001
Bayesian Signal Processing
I briefly review Bayesian concepts and their
practical implementation using the
empirical-Bayes and variational-Bayes frameworks.
I describe their application to
a wide range of models including
autoregressive models, Gaussian-Mixture models,
Independent Component Analysis, Neural network
classifiers and state-space models. Particular attention
is paid to the problem of model order selection.
You can also download a paper-saving version
here .
The above files are postscript. Press SHIFT when you click on
the link - you'll then get the option to save the
file to your disk.
You'll need
Ghostview to
view them, if its not already installed on your system.
Mixture Models with Spatial Priors
A talk given at the MRC Cognition and Brain Sciences Unit, Cambridge
University, October 2001. In this powerpoint presentation
I describe a new analysis framework for functional neuroimaging
data which generalises mass-univariate and cluster-based approaches.
Mixture Models with Spatial Priors
A talk given at the NIPS Workshop Neuroimaging: Tools, Methods and Modeling, Whistler,
British Columbia, December 7-8, 2001. In this powerpoint presentation
I describe a new analysis framework for functional neuroimaging
data which generalises mass-univariate and cluster-based
approaches. I also present some new results on
event-related fMRI.