Ph.D. student, Lemanic Neuroscience Doctoral Program
Department of Radiology
University Hospital Center and University of Lausanne
Radiology Research Center, RC7
Rue du Bugnon 46, 1011 Lausanne, Switzerland
email: michaelnotter@hotmail.com
Ph.D. student, Lemanic Neuroscience Doctoral Program
Department of Radiology
University Hospital Center and University of Lausanne
Radiology Research Center, RC7
Rue du Bugnon 46, 1011 Lausanne, Switzerland
email: michaelnotter@hotmail.com
My work focuses on the development of data science tools to conducting functional MRI studies, where I’m either applying a more standard approach with univariate analysis or a more complex approach, where I use multi-voxel pattern analysis (MVPA).
I am involved in the development of new neuroimaging software and analysis methods to advance and facilitate the analysis of EEG, MRI or eye-tracking data. I am always happy to analyze big and complex datasets and love to tackle neuroscientific questions not just in a hypothesis driven but also in a data driven way. In my opinion, using a computational approach (e.g. multivariate pattern analysis) gives us the possibility to test a model and its credibility in a way that is often very distant from the way humans think and allows us to gain knowledge purely derived from data.