Chenxiang ZhangExpertise
full-process micro-fabrication, mechanical modelling
Current Work
IGZO transistor fabrication, stencil lithography
Education Master | MEMS designing, micro-plasma, micro-fabrication 2019 – 2022 Tsinghua University, Beijing, China Bachelor | Biomedical engineering, bio-electronics, machine learning 2015 – 2019 Beihang University, Beijing, China
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Touradj EbrahimiTouradj EBRAHIMI received his M.Sc. and Ph.D., both in Electrical Engineering, from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1989 and 1992 respectively. In 1993, he was a research engineer at the Corporate Research Laboratories of Sony Corporation in Tokyo, where he conducted research on advanced video compression techniques for storage applications. In 1994, he served as a research consultant at AT&T Bell Laboratories working on very low bitrate video coding. He is currently Professor at EPFL heading its Multimedia Signal Processing Group. He is also the Convenor of JPEG standardization Committee. He was also adjunct Professor with the Center of Quantifiable Quality of Service at Norwegian University of Science and Technology (NTNU)from 2008 to 2012.
Prof. Ebrahimi has been the recipient of various distinctions and awards, such as the IEEE and Swiss national ASE award, the SNF-PROFILE grant for advanced researchers, Four ISO-Certificates for key contributions to MPEG-4 and JPEG 2000, and the best paper award of IEEE Trans. on Consumer Electronics . He became a Fellow of the international society for optical engineering (SPIE) in 2003. Prof. Ebrahimi has initiated more than two dozen National, European and International cooperation projects with leading companies and research institutes around the world. He is a co-founder of Genista SA, a high-tech start-up company in the field of multimedia quality metrics. In 2002, he founded Emitall SA, start-up active in the area of media security and surveillance. In 2005, he founded EMITALL Surveillance SA, a start-up active in the field of privacy and protection. He is or has been associate Editor with various IEEE, SPIE, and EURASIP journals, such as IEEE Signal Processing Magazine, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, EURASIP Image Communication Journal, EURASIP Journal of Applied Signal Processing, SPIE Optical Engineering Magazine. Prof. Ebrahimi is a member of Scientific Advisory Board of various start-up and established companies in the general field of Information Technology. He has served as Scientific Expert and Evaluator for Research Funding Agencies such as those of European Commission, The Greek Ministry of Development, The Austrian National Foundation for Scientific Research, The Portuguese Science Foundation, as well as a number of Venture Capital Companies active in the field of Information Technologies and Communication Systems. His research interests include still, moving, and 3D image processing and coding, visual information security (rights protection, watermarking, authentication, data integrity, steganography), new media, and human computer interfaces (smart vision, brain computer interface).
He is the author or the co-author of more than 200 research publications, and holds 14 patents. Prof. Ebrahimi is a member of IEEE, SPIE, ACM and IS&T.
See the URL below for more details:
http://mmspl.epfl.ch Amin KaboliDr. Amin Kaboli is an external lecturer for at the Mechanical Engineering Section at EPFL and teaches Production Management (ME-419), Continuous Improvement (ME-498) to graduate students and Digital Supply Chain, Innovation and Digitization, and Sustainable Change Leadership to business executives and managers at International Institute for the Management of Logistics and Supply Chain (IML).
Amin supports many organizations ranging from Fortune 500 corporations to entrepreneurial firms and industries as diverse as Watch, Consumer Goods, Food and Beverage, MedTech, and Pharma. He obtained his Ph.D. in Manufacturing Systems & Robotics, specialized in Supply Chain Management from EPFL. You can watch his TEDx talk on “Leading Change Consciously” here. TEDx talk here.
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Hervé BourlardTeaching & PhD Past EPFL PhD Students Astrid Hagen, Katrin Weber, Todd Stephenson, Jitendra Ajmera, Shajith Ikbal, Mathew Magimai Doss, Mohamed Faouzi Benzeghiba, Mark Barnard, Yann Rodriguez, Hemant Misra, Christos Dimitrakakis, Guillaume Lathoud, Alexei Pozdnoukhov, Agnès Just, Mikaela Keller, Norman Hoon Thian Poh, Dong Zhang, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas, Kevin Smith, Silèye Oumar Ba, Bertrand Mesot, Hamed Ketabdar, David Grangier, Guillermo Aradilla, Jean-François Paiement, Nico
Giancarlo Ferrari TrecateExpertise
Automatic control, Dependable control, Neural-network Control, Machine learning, Microgrids, Hybrid systems
Mission
See the webpage of the DECODE (Dependable Control and Decision) group.
Teaching & PhD PhD Students Laura Meroi, Julien Pallage, Nicolas Léo Pierre Kirsch, Simone Baratto, Daniele Martinelli, Riccardo Cescon, Jakob Nylöf, Sabri El Amrani Past EPFL PhD Students Pulkit Nahata, Mustafa Sahin Turan, Baiwei Guo, Jean-Sébastien Brouillon, Clara Galimberti, Andrea Martin, Muhammad Zakwan,
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Adriano MeleI am a control engineer and plasma scientist at the Swiss Plasma Center of the École Polytechnique Fédérale de Lausanne.I am also Research Topic Coordinator in the EUROfusion Tokamak Exploitation WorkPackage, for the Research Topic 04: Physics-based machine generic systems for an integrated control of plasma discharge, and an Associate Editor in the Franklin Open journal.In 2022-2023, I have been an Assistant Professor in Automatic Control at the University of Tuscia, Viterbo.Before that, from 2019 to 2021,
Nicolas Henri Bernard FlammarionNicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d’Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.
Anastasios VassilopoulosPERSONAL INFORMATION Name : Anastasios P. Vassilopoulos email : anastasios.vassilopoulos@epfl.ch Tel: 41 21 6936393 Fax: 41 21 6936240 SUMMARY OF QUALIFICATIONS 1995: Dipl. Mechanical Engineer, University of Patras, Greece 2001: Dr Mechanical Engineer, Doctoral thesis in fatigue of composite materials from the Dept. Mechanical Engineering and Aeronautics, University of Patras, Greece CURRENT POSITION Senior Scientist (MER), Composite Construction Laboaratory (CCLab), EPFL PREVIOUS POSITIONS 2006-2012 Research and Teaching Associate, Composite Construction Laboaratory (CCLab), EPFL 2002-2006 Assisstant Professor, Technological Educational Institute (TEI) of Patras, Greece 2001-2003 Post-doctoral Research associate, (Part-time) Dept. Mechanical Engineering and Aeronautics of the University of Patras, Greece. EDUCATION 1990 - 1995 Graduate student, Dept. Mechanical Engineering and Aeronautics, University of Patras, Greece October 1994-January 1995 Dept. Mechanical Engineering, University of Bristol, U.K. (In the frame of Erasmus project for the final year thesis, under the supervision of Prof. R. D. Adams) 1995 - 2000 Research assistant, Dept. Mechanical Engineering and Aeronautics, University of Patras. LANGUAGES English, Greek, French COMMUNITY ACTIVITIES (Member of) Council of the European Society of Composite Materials (ESCM) Council of the European Society of Experimental Mechanics (EuraSEM) The European Structural Integrity Society (ESIS) The European Energy Research Alliance (EERA, JP WIND) The Technical Chamber of Greece (TCG) The Hellenic Association of Mechanical & Electrical Engineers SCIENTIFIC-RESEARCH INTERESTS Experimental methods for the study of the behavior of composite materials under static and fatigue loading Development of analytical methods for the study of the behavior of FRP composite materials under variable amplitude complex stress states Development of fatigue life prediction methodologies for composite materials and structures Design of constructions with composite materials Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
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'.
Paolo GermanoFORMATION
Mars 1990 : Engagement au Laboratoire d'électromécanique et de machines électriques (LEME), devenu entre temps le laboratoire d'actionneurs intégrés (LAI), comme assistant puis comme fonctionnaire scientifique.
Janvier 1990 : Diplôme d'ingénieur EPF en microtechnique.
Juillet 1985 : Maturité de type scientifique.
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- EXPERIENCES ET DOMAINES DE COMPETENCES
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Modélisation et simulation de l'alimentation des moteurs de l'avion Solar Impulse sur la base des résultats de la modélisation par éléments finis (FEM) de la structure magnétique Développement du banc de mesure (mécanique et software) du moteur Solar Impulse (dès mars 2004);
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Dans le cadre d'un Projet CTI en collaboration avec l'entreprise Medtronic (Projet ColoStim), développement d'un appareil de traitement de la constipation consistant en des électrodes implantées le long du colon et alimentées par induction, à haute fréquence, à l'aide d'une bobine primaire placée autour du thorax du patient (janvier 2006 - mars 2007);
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Développement du modèle équivalent d'une montre à glace tactile et analyse de l'effet des décharges électrostatiques sur cette montre. Projet CTI en collaboration avec l'entreprise ETA-Swatch Group (avril 2003 à octobre 2004);
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Développement d'un système de transfert d'énergie pour navettes automotrices de machines d'assemblage. Projet CTI en collaboration avec l'entreprise Montech AG (octobre 2001 à octobre 2002);
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Développement d'une installation de transfert d'énergie pour des wagonnets de transport de rouleaux pour l'industrie du papier avec l'entreprise Valmet AG (Groupe Metso Paper) (2001);
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Développement d'un banc de mesure pour actionneurs linéaires dans le cadre d'un mandat avec l'entreprise Sonceboz SA (mars 1998 - juillet 2000);
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Développement d'une installation de transfert d'énergie pour un convoyeur d'outils dans le cadre d'un mandat avec l'entreprise MCM SpA (Italie) (juillet 1998 avril 1999 et déc. 1999 avril 2000);
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Développement d'un banc de test pour vibreur électromécanique dans le cadre d'un mandat avec l'entreprise ASULAB SA à Marin (octobre décembre 1999);
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Développement et responsabilité d'une installation de démonstration d'un Système de transport automatique à transmission d'énergie par induction - Projet Serpentine 2 PSEL (déc. 1996 juin 1999);
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Développement d'un banc de mesure et d'analyse pour moteurs à courant continu dans le cadre d'un projet d'impulsion RAVEL (sept. 1995 - mars 1997);
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Développement d'un convertisseur de fréquence à résonance de 2,4 kW pour l'alimentation d'un transformateur sans fer dans le cadre du transfert d'énergie sans contacts Projet Serpentine PSEL (février 94 déc. 1995);
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Développement d'un banc de mesure pour moteurs pas à pas dans le cadre d'un mandat avec l'entreprise Sonceboz SA (mars 1992 nov. 1995);
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Développement d'un convertisseur direct de fréquence AC/AC de basse puissance dans le cadre du projet du cur artificiel Suisse (mars 1990 - mars 1992);
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Suivi d'une vingtaine de projets de semestre et de master EPFL;
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Divers projets de moindre envergure (alimentations, démonstrateurs, acquisitions de données, micro-informatique, circuits imprimés).
PUBLICATIONS
DOMAINE DU TRANSFERT D'ENERGIE PAR INDUCTION
M. Jufer, L. Cardoletti, B. Arnet, P. Germano, Ch. Koechli, N. Macabray, M. Perrottet, "Dispositif de transmission d'énergie électrique à un véhicule, sans contact, par induction - Projet PSEL N° 16 - Magnéto-glisseur", Rapport de synthèse 1995, EPFL-DE-LEME, Lausanne - Suisse, 18 octobre 1995;
M. Jufer, L. Cardoletti, P. Germano, B. Arnet, M. Perrottet, N. Macabrey, "Induction Contactless Energy Transmission System for an Electric Vehicle", ICEM96, International Conference on Electrical Machines, Vigo, Sept. 10-12, 1996, Vol II, pp. 343-347;
P. Germano, M. Jufer, "Contactless power transmission: Frequency tuning by a maximum power tracking method", EPE '97, 7th European Conference on power electronics and applications, Trondheim, Sept. 8-10, 1997, Vol IV, pp. 693-697;
M. Jufer, L. Cardoletti, P. Germano, B. Arnet, M. Perrottet, Swiss Federal Institute of Techno-logy, DE-LEME, 1015 Lausanne, Switzer-land, "Inductively powered automatic vehicles - Ser-pen-tine", EVS-15 '98, 15th International Electric Vehicle Symposium and Exhibition, Brussel, Belgium, Sept. 29 - Oct. 3, 1998, pp. 403-404;
P. Germano, Nicolas Macabrey, M. Jufer, Swiss Federal Institute of Technology, DE-LEME, 1015 Lausanne, Switzerland, "Contactless Power Transmission: Linear Positioning of the Moving Element", EPE '99, 8th European Conference on Power Electronics and Applications, Lausanne, 7-9 September, 1999, Art Nb 685;
P. Germano, M. Jufer, L. Cardoletti, B. Arnet, Ch. Koechli, N. Macabray, M. Perrottet, "Système de transport automatique à transmission d'énergie par induction. - Projet PSEL N° 115", Rapport final 1999, EPFL-DE-LEME, Lausanne - Suisse, 31 août 1999;
P. Germano, I. Stefanini, W. Montella, L. Cardoletti, Y. Perriard, "Système de transfert d'énergie pour navette de machines d'assemblage Projet CTI n° 5780.1 KTS", Rapport final, EPF Lausanne-LAI, Suisse, mars 2004;
I. Stefanini, P. Germano, L. Cardoletti, W. Montella, Y. Perriard, "Inductive Charge System for Assembly Plant Shuttles", CD-ROM, EPE 2003, Toulouse, (France), 2-4 Septembre 2003;
P. Germano, I. Stefanini, Y. Perrirad, "Stimulation colique pour le traitement des troubles de la motilité Projet ColoStim Projet CTI n° 7362.2 LSPP-LS", Rapport final, EPF Lausanne-LAI, Suisse, mai 2007.
DOMAINES DES BANCS DE MESURE - MESURES
P. Germano, "Système automatique de mesure", Rapport technique vol. I & II, EPF-Lausanne, 1995;
P. Germano, Ch. Kuert, "Banc de mesures automatisé pour entraînements électriques", Présentation et mode d'emploi, EPF-Lausanne, 1997;
P. Germano, Ch. Kuert, M. Jufer, Swiss Federal Institute of Technology, DE-LEME, 1015 Lausanne, Switzerland, "Automated test bench for electric drives: Modular layout of soft- and hardware", EPE '99, 8th European Conference on Power Electronics and Applications, Lausanne, 7-9 September, 1999, Art Nb 683;
Y. Perriard, P. Germano, I. Verettaz, "Banc de test pour vibreur électromécanique", Rapport technique, EPF-Lausanne, janvier 2000;
P. Germano, Ch. Kuert, M. Jufer, Swiss Federal Institute of Technology, DE-LEME, 1015 Lausanne, Switzerland, "DSP controlled automated Test Bench for linear Actuators Design and Choices", EPE 2001, 9th European Conference on Power Electronics and Applications, Graz, 27-29 August, 2001, Art Nb 709;
P. Germano, M. Crivii, D. Demarco, Y. Perriard, Swiss Federal Instutute of Technology, LAI, 1015 Lausanne, Switzerland & L. Paratte, R. Marquis, Service Unit RD, ETA SA (Swatch Group), 2540 Granges, Switzerland, "Analysis and Modeling of Electrostatic Discharge in a Tactile Glass Featured Watch", IAS 2004, 39th Annual Meeting, Seattle, WA, USA, October 3-7, 2004;
P. Germano, M. Crivii, D. Demarco, Y. Perriard, Swiss Federal Instutute of Technology, LAI, 1015 Lausanne, Switzerland & L. Paratte, R. Marquis, Service Unit RD, ETA SA (Swatch Group), 2540 Granges, Switzerland, "Analysis and Modeling of Electrostatic Discharge in a Tactile Glass Featured Watch", IEEE Transaction on Industry Applications, Volume 43, Issue 4, July-aug. 2007, Page(s): 1091-1098; Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur
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.
