Henry MarkramHenry Markram started a dual scientific and medical career at the University of Cape Town, in South Africa. His scientific work in the 80s revealed the polymodal receptive fields of pontomedullary reticular formation neurons in vivo and how acetylcholine re-organized these sensory maps.
He moved to Israel in 1988 and obtained his PhD at the Weizmann Institute where he discovered a link between acetylcholine and memory mechanisms by being the first to show that acetylcholine modulates the NMDA receptor in vitro studies, and thereby gates which synapses can undergo synaptic plasticity. He was also the first to characterize the electrical and anatomical properties of the cholinergic neurons in the medial septum diagonal band.
He carried out a first postdoctoral study as a Fulbright Scholar at the NIH, on the biophysics of ion channels on synaptic vesicles using sub-fractionation methods to isolate synaptic vesicles and patch-clamp recordings to characterize the ion channels. He carried out a second postdoctoral study at the Max Planck Institute, as a Minerva Fellow, where he discovered that individual action potentials propagating back into dendrites also cause pulsed influx of Ca2 into the dendrites and found that sub-threshold activity could also activated a low threshold Ca2 channel. He developed a model to show how different types of electrical activities can divert Ca2 to activate different intracellular targets depending on the speed of Ca2 influx an insight that helps explain how Ca2 acts as a universal second messenger. His most well known discovery is that of the millisecond watershed to judge the relevance of communication between neurons marked by the back-propagating action potential. This phenomenon is now called Spike Timing Dependent Plasticity (STDP), which many laboratories around the world have subsequently found in multiple brain regions and many theoreticians have incorporated as a learning rule. At the Max-Planck he also started exploring the micro-anatomical and physiological principles of the different neurons of the neocortex and of the mono-synaptic connections that they form - the first step towards a systematic reverse engineering of the neocortical microcircuitry to derive the blue prints of the cortical column in a manner that would allow computer model reconstruction.
He received a tenure track position at the Weizmann Institute where he continued the reverse engineering studies and also discovered a number of core principles of the structural and functional organization such as differential signaling onto different neurons, models of dynamic synapses with Misha Tsodyks, the computational functions of dynamic synapses, and how GABAergic neurons map onto interneurons and pyramidal neurons. A major contribution during this period was his discovery of Redistribution of Synaptic Efficacy (RSE), where he showed that co-activation of neurons does not only alter synaptic strength, but also the dynamics of transmission. At the Weizmann, he also found the tabula rasa principle which governs the random structural connectivity between pyramidal neurons and a non-random functional connectivity due to target selection. Markram also developed a novel computation framework with Wolfgang Maass to account for the impact of multiple time constants in neurons and synapses on information processing called liquid computing or high entropy computing.
In 2002, he was appointed Full professor at the EPFL where he founded and directed the Brain Mind Institute. During this time Markram continued his reverse engineering approaches and developed a series of new technologies to allow large-scale multi-neuron patch-clamp studies. Markrams lab discovered a novel microcircuit plasticity phenomenon where connections are formed and eliminated in a Darwinian manner as apposed to where synapses are strengthening or weakened as found for LTP. This was the first demonstration that neural circuits are constantly being re-wired and excitation can boost the rate of re-wiring.
At the EPFL he also completed the much of the reverse engineering studies on the neocortical microcircuitry, revealing deeper insight into the circuit design and built databases of the blue-print of the cortical column. In 2005 he used these databases to launched the Blue Brain Project. The BBP used IBMs most advanced supercomputers to reconstruct a detailed computer model of the neocortical column composed of 10000 neurons, more than 340 different types of neurons distributed according to a layer-based recipe of composition and interconnected with 30 million synapses (6 different types) according to synaptic mapping recipes. The Blue Brain team built dozens of applications that now allow automated reconstruction, simulation, visualization, analysis and calibration of detailed microcircuits. This Proof of Concept completed, Markrams lab has now set the agenda towards whole brain and molecular modeling.
With an in depth understanding of the neocortical microcircuit, Markram set a path to determine how the neocortex changes in Autism. He found hyper-reactivity due to hyper-connectivity in the circuitry and hyper-plasticity due to hyper-NMDA expression. Similar findings in the Amygdala together with behavioral evidence that the animal model of autism expressed hyper-fear led to the novel theory of Autism called the Intense World Syndrome proposed by Henry and Kamila Markram. The Intense World Syndrome claims that the brain of an Autist is hyper-sensitive and hyper-plastic which renders the world painfully intense and the brain overly autonomous. The theory is acquiring rapid recognition and many new studies have extended the findings to other brain regions and to other models of autism.
Markram aims to eventually build detailed computer models of brains of mammals to pioneer simulation-based research in the neuroscience which could serve to aggregate, integrate, unify and validate our knowledge of the brain and to use such a facility as a new tool to explore the emergence of intelligence and higher cognitive functions in the brain, and explore hypotheses of diseases as well as treatments.
Rolf GruetterAwards:
1999 Young Investigator Award Plenary Lectureship
, International Society for Neurochemistry
2011 Fellow
, ESMRMB
2011 Teaching Award
, Section Sciences de la Vie, EPFL
Graham KnottGraham Knott received his degree in physiology from the University of Southampton, UK, in 1990, and his PhD in neuroscience from the University of Tasmania, Australia, in 1995. He moved to the University of Lausanne in Switzerland in 1999 where he researched the plasticity of neuronal connectivity in the adult brain, developing correlative light and electron microscopy methods for the analysis of in vivo imaged neurons. In 2006 Graham joined the Ecole Polytechnique Fédérale de Lausanne, establishing the Bio Electron Microscopy Facility and has continued his research interests in brain plasticity and 3D electron microscopy.
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.
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
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
Bernard SchneiderTeaching & PhD PhD Students Yesica Gloria, Christian Schellhaas Past EPFL PhD Students Vanessa Laversenne, Sameer Mohammad Khaleel Nazeeruddin, Emma Charlotta Källstig Past EPFL PhD Students as codirector Philippe Guillaume Coune, Emilda Pino, Elisabeth Anne Dirren, Aurélien Lathuilière, Wojciech Janusz Bobela, Lu Zheng, Cylia Cloé Rochat Courses Methods: from disease models to therapy BIOENG-518 This course will describe methods underlying translational approaches from disease modeling an
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.
Dimitri Nestor Alice Van De VilleExpertise
Brain and spinal cord imaging, signal and image processing, network science, dynamic systems
Teaching & PhD PhD Students 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 Past EPFL PhD Students Djano Kandaswamy, Fikret Isik Karahanoglu, Nora Leonardi, Zafer Dogan, Jeffrey Adam Kasten, Naghmeh Ghazaleh, Rotem Roza Kopel, Daniela Maria Zöller, Thomas
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
Carl PetersenCarl 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.
Maria del Carmen Sandi PerezACADEMIC POSITION:
Professor, Director of the Laboratory of Behavioral Genetics, Brain Mind Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland.
EDUCATION:
BS MS Salamanca, Spain, 1984
PhD Cajal Institute, CSIC, and University Autonoma of Madrid, Spain, 1988
PROFESSIONAL EXPERIENCE:
Postdoc at INSERM, Bordeaux, France, and Cajal Institute Madrid, Spain, 1989-1990
Postdoc at the Open University, UK, 1991-1992, 1996
Research Associate, Cajal Institute, CSIC, Madrid, 1993-1995
Associate Professor Tenured, UNED University, Madrid, 1996-2003
Sabbatical Professor, University of Bern, Switzerland, 2002-2003
Assistant Professor Tenure-Track, EPFL, 2003-2007
Associate Professor Tenured, EPFL, 2007-2012
Full Professor, EPFL, 2012-
Director, Brain Mind Institute, EPFL, 2012-
PRINCIPAL BOARDS:
President, European Brain and Behavior Society (EBBS), 2009-2012
Editor-in-Chief Frontiers in Behavioral Neuroscience
Member of Scientific Advisory Panel, European College Neuropsychopharmacology (ECNP)
Member of the European Dana Alliance for the Brain (EDAB)
Associate Editor Frontiers in Neuroscience
Editorial Board Member Neurobiology of Learning and Memory
Editorial Board Member Journal of Psychiatry Research
Editorial Board Member Stress
Editorial Board Member Biology of Mood and Anxiety Disorders
Editorial Board Member Neuroscience and Biobehavioral Reviews
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
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
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.
