Carl Petersen studied physics as a bachelor student in Oxford (1989-1992). During his PhD studies under the supervision of Prof. Sir Michael Berridge in Cambridge (1992-1996), he investigated cellular and molecular mechanisms of calcium signalling. In his first postdoctoral period (1996-1998), he joined the laboratory of Prof. Roger Nicoll at the University of California San Francisco (UCSF) to investigate synaptic transmission and plasticity in the hippocampus. During a second postdoctoral period, in the laboratory of Prof. Bert Sakmann at the Max Planck Institute for Medical Research in Heidelberg (1999-2003), he began working on the primary somatosensory barrel cortex, investigating cortical circuits and sensory processing. Carl Petersen joined the Brain Mind Institute of the Faculty of Life Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in 2003, setting up the Laboratory of Sensory Processing to investigate the functional operation of neuronal circuits in awake mice during quantified behavior. In 2019, Carl Petersen became the Director of the EPFL Brain Mind Institute, with the goal to promote quantitative multidisciplinary research into neural structure, function, dysfunction, computation and therapy through technological advances.
Wulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
A participé aux ouvrages suivants:
-Caractérisation expérimentale des matériaux. Analyse par rayons X, électrons et neutrons. J.L. Martin, A. George. PPUR 1998.
-Dislocations et plasticité des cristaux. J.L. Martin. PPUR 2000.
-Thermally activated mechanisms in crystal plasticity, D. Caillard, J.L. Martin. Pergamon, 2003.
A été chairman de l'International Conference on the Strength of Materials (ICSMA)
A reçu "The Ernst Mach Honorary Medal for Merit in the Physical Sciences" de l'Académie des Sciences Tchèques, le 18.1.2018.
De nationalité américaine et suisse, Giorgio Margaritondo est né à Rome (Italie) en 1946. Il a reçu la Laurea cum laude en physique de l'Université de Rome en 1969. De 1969 à 1978, il a travaillé pour le Consiglio Nazionale delle Ricerche (CNR), à Rome, à Frascati et, pendant la période 1975-1977, chez Bell Laboratories aux Etats-Unis. De 1978 à 1990, il est professeur de physique à l'Université du Wisconsin, à Madison (Etats-Unis); en 1984, il est nommé vice-directeur au Centre de rayonnement synchrotron de la même université. En 1990, il est engagé à l'EPFL comme professeur ordinaire et dirige l'Institut de physique appliquée au Département de physique. Il a été également membre honoraire du corps professoral de l'Université Vanderbilt à Nashville. En 2001 il a été nommé doyen de la Faculté des sciences de base de l'EPFL; en 2004, il a été nommé Vice-président pour les affaires académiques.; en 2010 et jusqu'à sa retraite de l'EPFL en 2016 il est devenu Doyen de la formation continue. A côté de ses cours de physique générale, son activité de recherche porte sur la physique des semiconducteurs et des supraconducteurs (états électroniques, surfaces, interfaces) et des systèmes biologiques; ses principales méthodes expérimentales sont la spectroscopie et la spectromicroscopie électroniques, l'imagerie aux rayons x et la microscopie SNOM, y compris les expériences avec le rayonnement synchrotron et le laser à électrons libres. Auteur d'environ 700 articles scientifiques et de 9 livres, il a aussi été responsable de 1995 à 1998 des programmes scientifiques du Synchrotron ELETTRA à Trieste. Depuis 1997, il a été le coordinateur de la table ronde de la Commission européenne pour le rayonnement synchrotron, et président du conseil de la "Integrated Initiative" de la Commission européenne pour les synchrotrons et les lasers à électrons libres (IA-SFS, ensuite ELISA), le plus grand réseau au monde de laboratoires dans ce domaine. En 2011-2015, il a été Editor-in-Chief du Journal of Physics D (Applied Physics). A présent, il est vice-président du conseil de l'Università della Svizzera Italiana (USI) et président du Scientific and Technological Committee de l'Istituto Italiano di Tecnologia (IIT). Il est "Fellow" de l'American Physical Society et de l'American Vacuum Society; il est également "Fellow and Chartered Physicist" de l'Institute of Physics.
Werner is the Group Leader of the Cells team within the Simulation Neuroscience Division in Blue Brain.
The goal of his team is to build the single cell models which are the building blocks of the larger network models used in the Blue Brain Project. The first step when building these cell models consists of reconstructing, analysing and artificially recreating neuron morphologies. Next, a biophysically detailed electrical model for the different cell types is built. For the latter the team uses automated parameter optimisation tools like Blue Brain’s open source BluePyOpt tool, but they are also active in extending and developing other Blue Brain software packages related to single cells.
