Dear Users

Today (4 pm in YNiC) there will be a talk by Lee Harrison from YNiC.

The title of Lee's talk is "Bayesian Inference in Neuroimaging".

Abstract: "Analyzing data involves quantifying the uncertainties inherent in their production, e.g. measurement noise. A way to achieve this is to formulate models in terms of probabilities, in other words, Bayesian models. A Bayesian approach provides a language to formally represent such uncertainty and the tools necessary to manipulate these notions in a coherent manner. The aim of this talk is to give an overview of some of the ideas and rhetoric used in constructing Bayesian models, estimating them and applying them to neuroimaging problems. The talk is based on an introduction to Bayesian inference given at the Statistical Parametric Mapping (SPM) short course. The emphasis will be on applications and not the equations. For example, using Dynamic Causal Models (DCM) to ask questions about interactions between cortical regions and spatial models to implement a computational model of how an observer represents uncertainty in a sequence of events."

Everyone is welcome to attend.

Best wishes Rebecca