Wellcome Centre for Neuroimaging at UCL

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Presentation transcript:

Wellcome Centre for Neuroimaging at UCL Will Penny Wellcome Centre for Neuroimaging at UCL Methods Physics Attention Language Memory Emotion Vision fMRI MEG Theoretical Neurobiology

Statistical Parametric Mapping (SPM) Image time-series Kernel Design matrix Statistical parametric map Realignment Smoothing General linear model Random Field Theory Statistical inference Normalisation p <0.05 Template Parameter estimates

Dynamic Models of Brain Interactions Hemodynamic forward model: neural activityBOLD (nonlinear) Electric/magnetic forward model: neural activityEEG MEG LFP (linear) Neural state equation: fMRI MEG Neural model: 1 state variable per region bilinear state equation no propagation delays Neural model: 8 state variables per region nonlinear state equation propagation delays inputs

Dynamical Neural Network Model for fMRI z1 z2 u1 a11 a22 c a12 a21 b21 u2 u1 z1 z2

Opportunities Computer Science UCL CoMPLEX Engineering Physics Statistics UCL CoMPLEX