Alexander MathisAlexander studied pure mathematics with a minor in logic and theory of science at the Ludwig Maximilians University in Munich. For his PhD also at LMU, he worked on optimal coding approaches to elucidate the properties of grid cells. As a postdoctoral fellow with Prof. Venkatesh N. Murthy at Harvard University and Prof. Matthias Bethge at Tuebingen AI, he decided to study olfactory behaviors such as odor-guided navigation, social behaviors and the cocktail party problem in mice. During this time, he increasingly got interested sensorimotor behaviors beyond olfaction and started working on proprioception, motor adaption, as well as computer vision tools for measuring animal behavior.
In his group, he is interested in elucidating how the brain gives rise to adaptive behavior. One of the major goals is to synthesize large datasets into computationally useful information. For those purposes, he develops algorithms and systems to analyze animal behavior (e.g. DeepLabCut), neural data, as well as creates experimentally testable computational models.
Quentin BarraudExpertise
Translational neuroscience · Neuromodulation · Spinal cord injury & Parkinson’s disease · Multi-omics (single-cell, spatial transcriptomics, 3D cleared-tissue imaging) · Preclinical platform management · Swiss animal research regulation
Mission
To develop, coordinate, and supervise the preclinical activities of .NeuroRestore at EPFL, integrating innovative neuromodulation, gene therapy, and multi-omic strategies. To ensure regulatory compliance of all animal work, support scientific teams in exper
Katia GalanExpertise
Histology, genomics, cosec and BSO
Wulfram GerstnerWulfram 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'.
Kamiar AminianExpertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engineering Fall Prevention in Elderly Motor function in Parkinson disease Physical behavior in chronic pain
Expertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engin
Fosco BernasconiBio I am a neuroscientist, interested in consciousness. I obtained a Ph.D. in neuroscience with Stéphanie Clarke & Lucas Spierer in Lausanne (Switzerland) in 2012. I then worked with Franz X Vollenweider in Zurich (Switzerland), and Niko A Busch in Berlin (Germany). Since 2014, I am working with Olaf Blanke at the EPFL & école polytechnique fédérale de Lausanne in Geneva. Currently, we investigate the role of altered (bodily) self-consciousness in aberrant perceptions, notably observed in psychiatric and n
Aude BillardExpertise
Machine LearningRoboticsMechatronicsDynamical SystemsComputational Neuroscience
Enseignement et PhD Doctorant·es actuel·les Hanli Zhang, Maximilian Schmitz, Luyin Hu, Baiyu Peng, Erfan Etesami, Sthithpragya Gupta, Kuanqi Cai A dirigé les thèses EPFL de Eric Sauser, Sylvain Calinon, Micha Hersch, Florent Günter, Biljana Petreska von Ritter-Zahony, Basilio Noris, Elena Gribovskaya, Seyed Mohammad Khansari Zadeh, Seungsu Kim, Ashwini Shukla, Klas Jonas Alfred Kronander, Luka Lukic, Miao Li, Ravin L
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
