Dimitri Nestor Alice Van De VilleExpertise
Neuro-imagerie, traitement des signaux, sciences des réseaux, systèmes dynamiques
Enseignement et PhD Doctorant·es actuel·les Alexandre Cionca, Chun Hei Michael Chan, Flavia Petruso, Bassam El Rawas, Nikolaos Molochidis, Christophe Pascal Jérémie Chênes, Fabrice Jean Guibert, Alessio Siviglia, Ekansh Sareen, Beatrice Lugli A dirigé les thèses EPFL de Djano Kandaswamy, Fikret Isik Karahanoglu, Nora Leonardi, Zafer Dogan, Jeffrey Adam Kasten, Naghmeh Ghazaleh, Rotem Roza Kopel, Daniela Maria Zölle
Srikanth RamaswamyDr. Srikanth Ramaswamy is a group leader and senior scientist in the Blue Brain Project. He leads a multidisciplinary group at the interface of experimental neurophysiology and large-scale computational modeling to investigate the organising principles of neuromodulatory mechanisms that shape neocortical network dynamics.Srikanth graduated from the National Institute of Engineering in Mysore, India with a first class honours degree in Electrical engineering in 2002. In 2003, he was awarded a British Cheveni
Sylvain CrochetEnseignement et PhD Cours Neuroscience: cellular and circuit mechanisms BIO-482 Ce cours se concentre sur les mécanismes biophysique du fonctionnement du cerveau des mammifères. Nous allons décrire comment les neurones communiquent à travers la transmission synaptique dans le but de traiter l'information sensorielle conduisant finalement à un comportement moteur.
Maria del Carmen Sandi PerezEnseignement et PhD A dirigé les thèses EPFL de Kamila Markram, Thomas Brionne, Reto Bisaz, Gediminas Luksys, Basira Salehi, Marjan Timmer, Jorge Eduardo Castro Cifuentes, Vandana Veenit, Stamatina Tzanoulinou, Laura Lozano Montes, Sophie Elizabeth Walker, Aurélie Lattion, Alina Veronika Irene Strasser, Damien Huzard, Leyla Loued-Khenissi, Silvia Monari, Jun Huang, Arthur Barakat, Alessandro Chioino, Loredana Cumpana Cours Neuroscience: behavior and cognition BIO-483 Guider les étudiants dan
Felix SchürmannFelix Schürmann is co-director of the Blue Brain Project and involved in several research challenges of the European Human Brain Project. He studied physics at the University of Heidelberg, Germany, supported by the German National Academic Foundation. Later, as a Fulbright Scholar, he obtained his Master's degree (M.S.) in Physics from the State University of New York, Buffalo, USA, under the supervision of Richard Gonsalves. During these studies, he became curious about the role of different computing substrates and dedicated his master thesis to the simulation of quantum computing. He studied for his Ph.D. at the University of Heidelberg, Germany, under the supervision of Karlheinz Meier. For his thesis he co-designed an efficient implementation of a neural network in hardware.
Alessandra GriffaCurrent work
In recent years developments in graph theoretical analysis have been more and more applied to the study and characterization of both functional and structural brain networks. The human connectome has been characterized as a small-world, modular, hierarchical network, with few central nodes acting as connectors between local communities, and highly interconnected between them. This brain characterization is common to both structural and functional connectivity. Nevertheless the correlation betwe
Olaf BlankeEnseignement et PhD Doctorant·es actuel·les Haotian Yao, Neza Vehar, Gerardus Yannick Mijsters, Andreea-Maria Gui, Unnat Hemangbhai Antani, Angelica Di Domenico, Berenice Favre-Bulle A dirigé les thèses EPFL de Manuel Mercier, Bigna Lenggenhager, Pär Halje, Tej Tadi, Sebastian Dieguez Falcon, Oliver Alan Kannape, Lukas Heydrich, Nathan Evans, Danilo Jimenez Rezende, Steven Gale, Christian Pfeiffer, Mariia Kaliuzhna, Joachim Forget, Polona Pozeg, Petr Grivaz, Michel Akselrod, Marco Solcà, Jemina Fasola, Ev
