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.