Workshop:
Computational modelling of brain networks in Electroencephalography at oCNS 2019
Organisers: Dr. Benedetta Franceschiello and Dr. Katharina Glomb
Electroencephalography (EEG) is a non-invasive neuroimaging technique. It records the scalp voltage potentials resulting from current flow in and around neurons, providing a direct measure of brain activity. EEG has an excellent temporal resolution, its affordability and portability contribute to its huge potential for research and clinical applications. Nevertheless it lacks spatial resolution and recordings suffer from the effects of instantaneous field spread. These problems are mathematically underdetermined, therefore it has been proposed to use computational models to circumvent them. Computational models allow experimenters to simulate phenomena and interactions beyond what could be physiologically tested and observed in the real world. We believe that the use of computational modelling of brain networks could greatly help to overcome the limitations of EEG recordings, while at the same time computational models would benefit from real-time recordings. The aim of this workshop is to gather together experts of both communities to bridge these subjects.
Prof. Alain Destexhe, Paris-Saclay Institute of Neuroscience, CNRS, Gif sur Yvette, France
Prof. Alberto Mazzoni, BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
Dr. Anna Cattani, Department of Biomedical and Clinical Sciences "Luigi Sacco", Milan, Italy
Dr. Joana Cabral, Life and Health Sciences Research Institute, University of Minho, Portugal
Prof. Ashish Raj, School of Medicine, UCSF, San Francisco, US
Dr. Katharina Glomb, Patric Hagmann's group, CHUV, Lausanne, Switzerland
Dr. Benedetta Franceschiello, Fondation Asile des Aveugles and LINE, CHUV, Lausanne, Switzerland
Presentations can be found here
Centre Hospitalier Universitaire Vaudoise
Ophthalmic Hospital Jules-Gonin (HOJN)
Laboratory for Investigative Neurophysiology
Université de Lausanne
Connectomics Lab