Olexiy KochubeyTeaching & PhD PhD Students Nishant Jana Past EPFL PhD Students as codirector Aiste Baleisyte, Denys Osypenko Courses Neural circuits of motivated behaviors BIO-499 Motivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate internal states, detect dangers in the environment, and organize appropriate behavioral responses.
Tomislav MilekovicMission
Develop and advance brain-computer interfaces - devices that allow people with paralysis to control computers, robotic hands or their own paralyzed muscles directly by their brain activity - for the purpose of helping people with paralysis regain their lost abilities.
I obtained my dipl. ing. degree in Physics (equivalent to MSc in Physiscs) from the Faculty of Science of the Zagreb University in July 2006. During my undergraduate studies, I was awarded the Best Student award of the Department of Ph
Nathalie JustExpertise
OncologyMRI, fMRI, fMRS, Diffusion MRS,Animal ModelsAnimal physiologyOptogenetics, Chemogenetics
Current work
-Functional magnetic Resonance imaging in rats and mice -Manganese-enhanced MRI: High Resolution MR Imaging -Functional MR Spectroscopy in small animals - New contrasts for MRI and MRS
Mission
I am interested in all functional aspects of normal and diseased brain from neural activity to metabolism.
-2011-present: EPFL-CIBM AIT Core - Responsible for MR Imaging developments and applications
Johan AuwerxJohan Auwerx is Professor at the École Polytechnique Fédérale in Lausanne, Switzerland, where he occupies the Nestle Chair in Energy Metabolism. Dr. Auwerx has been using molecular physiology and systems genetics to understand metabolism in health, aging and disease. Much of his work focused on understanding how diet, exercise and hormones control metabolism through changing the expression of genes by altering the activity of transcription factors and their associated cofactors. His work was instrumental for the development of agonists of nuclear receptors - a particular class of transcription factors - into drugs, which now are used to treat high blood lipid levels, fatty liver, and type 2 diabetes. Dr. Auwerx was amongst the first to recognize that transcriptional cofactors, which fine-tune the activity of transcription factors, act as energy sensors/effectors that influence metabolic homeostasis. His research validated these cofactors as novel targets to treat metabolic diseases, and spurred the clinical use of natural compounds, such as resveratrol, as modulators of these cofactor pathways.
Johan Auwerx was elected as a member of EMBO in 2003 and is the recipient of a dozen of international scientific prizes, including the Danone International Nutrition Award, the Oskar Minkowski Prize, and the Morgagni Gold Medal. His work is highly cited by his peers with a h-factor of over 100. He is an editorial board member of several journals, including Cell Metabolism, Molecular Systems Biology, The EMBO Journal, Journal of Cell Biology, Cell, and Science. Dr. Auwerx co-founded a handful of biotech companies, including Carex, PhytoDia, and most recently Mitobridge, and has served on several scientific advisory boards.
Dr. Auwerx received both his MD and PhD in Molecular Endocrinology at the Katholieke Universiteit in Leuven, Belgium. He was a post-doctoral research fellow in the Departments of Medicine and Genetics of the University of Washington in Seattle.
Sylvain CrochetTeaching & PhD Courses Neuroscience: cellular and circuit mechanisms BIO-482 This course focuses on the biophysical mechanisms of mammalian brain function. We will describe how neurons communicate through synaptic transmission in order to process sensory information ultimately leading to motor behavior.
Olaf BlankeTeaching & PhD PhD Students Haotian Yao, Neza Vehar, Gerardus Yannick Mijsters, Andreea-Maria Gui, Unnat Hemangbhai Antani, Angelica Di Domenico, Berenice Favre-Bulle Past EPFL PhD Students 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, Eva Blondiaux, Myeong S
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
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.
Sean Lewis HillSean Hill is co-Director of Blue Brain, a Swiss national brain initiative, where he leads the Neuroinformatics division, based at the Campus Biotech in Geneva, Switzerland. He also directs the Laboratory for the Neural Basis of Brain States at the École Polytechnique Fédérale de Lausanne (EPFL). Dr. Hill served as the Executive Director (2011-2013) and Scientific Director (2014-2016) of the International Neuroinformatics Coordinating Facility (INCF) at the Karolinska Institutet in Stockholm, Sweden. Dr. Hill has extensive experience in building and simulating large-scale models of brain circuitry and has also supervised and led research efforts exploring the principles underlying the structure and dynamics of neocortical and thalamocortical microcircuitry. He currently serves in management and advisory roles on several large-scale clinical informatics initiatives around the world. After completing his Ph.D. in computational neuroscience at the Université de Lausanne, Switzerland, Dr. Hill held postdoctoral positions at The Neurosciences Institute in La Jolla, California and the University of Wisconsin, Madison, then joined the IBM T.J. Watson Research Center where he served as the Project Manager for Computational Neuroscience at Blue Brain until his appointment at the EPFL.
Michael HerzogTeaching & PhD PhD Students Sandrine Brikh, Melissa Mohamad Allouche, Ece Yatikçi, Melissa Faggella, Elsa Scialom, Marie Isabelle Holdsworth, Martina Morea, Pierre Merret, Sandali Nisansa Liyanagoonawardena Past EPFL PhD Students Frank Scharnowski, Thomas Otto, Toni Saarela, Elisa Tartaglia, Bilge Sayim, Johannes Rüter, Marco Boi, Kristoffer Aberg, Yvonne Evelina Thunell, Mauro Manassi, Vitaly Chicherov, Lukasz Grzeczkowski, Marc Michael Lauffs, Ophélie Favrod, Janir Nuno Ramos da Cruz, Adrien Doerig, Lei
Ralf SchneggenburgerTeaching & PhD PhD Students Nishant Jana, Runzhong Zhang, Jinyun Wu, Elena Mombelli Past EPFL PhD Students Le Xiao, Yunyun Han, Özgür Genç, Elin Kronander, Enida Gjoni, Wei Tang, Ayah Khubieh, Aiste Baleisyte, Shriya Palchaudhuri, Denys Osypenko, Bei-Xuan Lin Courses Neural circuits of motivated behaviors BIO-499 Motivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate int
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
