Michael Notter

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.

1. Franceschiello B*, Di Sopra L*, Minier A, Ionta S, Zeugin D, Notter MP, Bastiaansen JAM, Jorge J, Yerly J, Stuber M, Murray MM (2020). 3-Dimensional magnetic resonance imaging of the freely moving human eye. Progess in Neurobiology, in press.
2. Notter MP, Hanke M, Murray MM, Geiser E (2019) Encoding of auditory temporal Gestalt in the human brain. Cerebral Cortex, 29(2):475-484 doi: 10.1093/cercor/bhx328.
3. Crottaz-Herbette S, Fornari E, Notter MP, Bindschaedler C, Manzoni L, Clarke S (2017) Reshaping the brain after stroke: The effect of prismatic adaptation in patients with right brain damage. Neuropsychologia, 104:54-63. doi: 10.1016/j.neuropsychologia.2017.08.005.
4. Zeugin D, Arfa N, Notter M, Murray MM, Ionta S (2017) Implicit self-other discrimination affects the interplay between multisensory affordances of mental representations of faces. Behavioural Brain Research, 333:282-285.
5. Geiser E, Notter MP, Gabrieli JDE (2012) A corticostriatal neural system enhances auditory perception through temporal context processing. Journal of Neuroscience 32(18):6177-82.

1. Knebel JF, Notter MP (2018). STEN2.0: Statistical Toolbox for Electrical Neuroimaging. Zenodo.https://doi.org/10.5281/zenodo.11641512017
2. Kirstie W, Notter MP, Morgan S (2017). Brains for Publication. Zenodo. https://doi.org/10.5281/zenodo.596845
3. Notter MP, Murray MM (2017). Temporal Binding Window scripts: a light weight matlab tool to analyse the temporal binding window in  a multisensory integration study. Zenodo. https://doi.org/10.5281/zenodo.815876
4. Notter MP, Murray MM (2017). Pupillometry Analyzer: a light weight matlab tool to pre-process pupillometry data. Zenodo. https://doi.org/10.5281/zenodo.592386
5. Notter MP, Knebel JF, Murray MM. (2017). LINEViewer: a Python-based EEG analysis tool that provides a rough data overview. Zenodo. https://doi.org/10.5281/zenodo.5933182016
6. Gorgolewski KJ, Esteban O, Ziegler E, Notter MP,...Ghosh S (2016). Nipype: a flexible, light weight and extensible neuroimaging data processing framework in Python. Zenodo. https://doi.org/10.5281/zenodo.5968552015
7. Halchenko Y, Hanke M, Oosterhof NN, Olivetti E, Sederberg PB, Guntupalli S,...Notter M....Ma F (2015). PyMVPA: 2.4.1. Zenodo. http://doi.org/10.5281/zenodo.33988

1. Gorgolewski, K., Halchenko, Y., Hanke, M., Notter, M., Varoquaux, G., Waskom, M., Ziegler, E., Ghosh, S. (2012) Nipype 2012: more packages, reusable workflows and reproducible science. Poster at 18th Annual Meeting of the Organization for Human Brain Mapping, June 10-14.
2. Gorgolewski, K., Halchenko, Y., Hanke, M., Notter, M., Varoquaux, G., Waskom, M.L., Ziegler, E., Ghosh, S. (2012) Studying resting state connectivity using Nipype. Poster at third biennial resting state conference, Magdeburg, Germany, Sep 5-7.