Dr. Kamila Markram
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The Human Brain Project
HBP The Human Brain Project Madrid, June 20th 2013 HBP The Human Brain Project HBP FULL-SCALE HBP Ramp-up HBP Report mid 2013-end 2015 April, 2012 HBP-PS (CSA) (FP7-ICT-2013-FET-F, CP-CSA, Jul-Oct, 2012 May, 2011 HBP-PS Proposal (FP7-ICT-2011-FET-F) December, 2010 Proposal Preparation August, 2010 HBP PROJECT FICHE: PROJECT TITLE: HUMAN BRAIN PROJECT COORDINATOR: EPFL (Switzerland) COUNTRIES: 23 (EU MS, Switzerland, US, Japan, China); 22 in Ramp Up Phase. RESEARCH LABORATORIES: 256 in Whole Flagship; 110 in Ramp Up Phase RESEARCH INSTITUTIONS (Partners): • 150 in Whole Flagship • 82 in Ramp Up Phase & New partners through Competitive Call Scheme (15,5% of budget) • 200 partners expected by Y5 (Project participants & New partners through Competitive Call Scheme) DIVISIONS:11 SUBPROJECTS: 13 TOTAL COSTS: 1.000* M€; 72,7 M€ in Ramp Up Phase * 1160 M€ Project Total Costs (October, 2012) HBP Main Scheme of The Human Brain Project: HBP Phases 2013 2015 2016 2020 2023 RAMP UP (A) FULLY OPERATIONAL (B) SUSTAINED OPERATIONS (C) Y1 Y2 Y3a Y3b Y4 Y5 Y6 Y7 Y8 Y9 Y10 2014 2020 HBP Structure HBP: 11 DIVISIONS; 13 SUBPROJECTS (10 SCIENTIFIC & APPLICATIONS & ETHICS & MGT) DIVISION SPN1 SUBPROJECTS AREA OF ACTIVITY MOLECULAR & CELLULAR NEUROSCIENCE SP1 STRATEGIC MOUSE BRAIN DATA SP2 STRATEGIC HUMAN BRAIN DATA DATA COGNITIVE NEUROSCIENCE SP3 BRAIN FUNCTION THEORETICAL NEUROSCIENCE SP4 THEORETICAL NEUROSCIENCE THEORY NEUROINFORMATICS SP5 THE NEUROINFORMATICS PLATFORM BRAIN SIMULATION SP6 BRAIN SIMULATION PLATFORM HIGH PERFORMANCE COMPUTING (HPC) SP7 HPC -
The Digital Brain Bank: an Open Access Platform for Post-Mortem Datasets
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.21.449154; this version posted June 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. The Digital Brain Bank: an open access platform for post-mortem datasets Benjamin C. Tendler1, Taylor Hanayik1, Olaf Ansorge2, Sarah Bangerter-Christensen2, Gregory S. Berns3, Mads F. Bertelsen4, Katherine L. Bryant1, Sean Foxley1,5, Amy F.D. Howard1, Istvan Huszar1, Alexandre A. Khrapitchev6, Anna Leonte2 Paul R. Manger7, Ricarda A.L. Menke1, Jeroen Mollink1, Duncan Mortimer1, Menuka Pallebage- Gamarallage2, Lea Roumazeilles8, Jerome Sallet8,9, Connor Scott2, Adele Smart1,2, Martin R. Turner1,2, Chaoyue Wang1, Saad Jbabdi1*, Rogier B. Mars1,10,*, Karla L. Miller1* 1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom 2Division of Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom 3Psychology Department, Emory University, Atlanta, Georgia, United States of America 4Centre for Zoo and Wild Animal Health, Copenhagen Zoo, Frederiksberg, Denmark 5Department of Radiology, University of Chicago, Chicago, Illinois, United States of America 6Medical Research Council Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom 7School of Anatomical Sciences, -
Effect of Deficient Phagocytosis on Neuronal Survival
F1000Research 2017, 6:1827 Last updated: 09 MAR 2020 STUDY PROTOCOL Stage 1 Registered Report: Effect of deficient phagocytosis on neuronal survival and neurological outcome after temporary middle cerebral artery occlusion (tMCAo) [version 1; peer review: 2 approved] Julius V. Emmrich 1, Jonas J. Neher2,3, Philipp Boehm-Sturm1,4, Matthias Endres1,5, Ulrich Dirnagl 1,5,6, Christoph Harms1,6 1Department of Experimental Neurology and Center for Stroke Research, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany 2German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany 3Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany 4NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité – Universitätsmedizin Berlin, Berlin, Germany 5German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany 6QUEST – Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Berlin, Germany First published: 12 Oct 2017, 6:1827 ( Open Peer Review v1 https://doi.org/10.12688/f1000research.12537.1) Second version: 14 Nov 2017, 6:1827 ( https://doi.org/10.12688/f1000research.12537.2) Reviewer Status Latest published: 16 May 2018, 6:1827 ( https://doi.org/10.12688/f1000research.12537.3) Invited Reviewers 1 2 Abstract Stroke is a major cause of death and disability worldwide. In addition to version 3 neuronal death resulting directly from energy depletion due to lack of blood (revision) supply, inflammation and microglial activation following ischemic brain 16 May 2018 injury has been increasingly recognized to be a key contributor to the pathophysiology of cerebrovascular disease. -
© CIC Edizioni Internazionali
4-EDITORIALE_FN 3 2013 08/10/13 12:22 Pagina 143 editorial The XXIV Ottorino Rossi Award Who was Ottorino Rossi? Ottorino Rossi was born on 17th January, 1877, in Solbiate Comasco, a tiny Italian village near Como. In 1895 he enrolled at the medical fac- ulty of the University of Pavia as a student of the Ghislieri College and during his undergraduate years he was an intern pupil of the Institute of General Pathology and Histology, which was headed by Camillo Golgi. In 1901 Rossi obtained his medical doctor degree with the high- est grades and a distinction. In October 1902 he went on to the Clinica Neuropatologica (Hospital for Nervous and Mental Diseases) directed by Casimiro Mondino to learn clinical neurology. In his spare time Rossi continued to frequent the Golgi Institute which was the leading Italian centre for biological research. Having completed his clinical prepara- tion in Florence with Eugenio Tanzi, and in Munich at the Institute directed by Emil Kraepelin, he taught at the Universities of Siena, Sassari and Pavia. In Pavia he was made Rector of the University and was instrumental in getting the buildings of the new San Matteo Polyclinic completed. Internazionali Ottorino Rossi made important contributions to many fields of clinical neurology, neurophysiopathology and neuroanatomy. These include: the identification of glucose as the reducing agent of cerebrospinal fluid, the demonstration that fibres from the spinal ganglia pass into the dorsal branch of the spinal roots, and the description of the cerebellar symp- tom which he termed “the primary asymmetries of positions”. Moreover, he conducted important studies on the immunopathology of the nervous system, the serodiagnosis of neurosyphilis and the regeneration of the nervous system. -
Human Brain Project: Henry Markram Plans to Spend €1Bn Building a Perfect Model of the Human Brain | Science | the Observer 08/11/13 14:39
Human Brain Project: Henry Markram plans to spend €1bn building a perfect model of the human brain | Science | The Observer 08/11/13 14:39 Human Brain Project: Henry Markram plans to spend €1bn building a perfect model of the human brain Henry Markram, co-director of the Human Brain Project, based in Lausanne, Switzerland, has been awarded €1bn by the EU. Photograph: Jean-Christophe Bott/EPA In a spartan office looking across Lake Geneva to the French Alps, Henry Markram is searching for a suitably big metaphor to describe his latest project. "It's going to be the Higgs boson of the brain, a Noah's archive of the mind," he says. "No, it's like a telescope that can span all the way across the universe of the brain from the micro the macro level." We are talking about the Human Brain Project, Markram's audacious plan to build a working model of the human brain – from neuron to hemisphere level – and simulate it on a supercomputer within the next 10 years. When Markram first unveiled his idea at a TEDGlobal conference in Oxford four years ago, few of his peers took him seriously. The brain was too complex, they said, and in any case there was no computer fast enough. Even last year when he presented a more detailed plan at a scientific meeting in Bern, showing how the requisite computer power would be available by 2020, many neuroscientists continued to insist it could not be done and dismissed his http://www.theguardian.com/science/2013/oct/15/human-brain-project-henry-markram Pagina 1 di 13 Human Brain Project: Henry Markram plans to spend €1bn building a perfect model of the human brain | Science | The Observer 08/11/13 14:39 claims as hype. -
The Need for Open-Access, Structured Data in Clinical Brain Research
Bunevicius A. Biomed Data J. 2015;1(1): 27-32 http://dx.doi.org/10.11610/bmdj.01104 ISSN 2367-5322 datajournals.eu: The European Open Data portal Policy Paper The Need for Open-access, Structured Data in Clinical Brain Research Adomas Bunevicius Neuroscience Institute and Department of Neurosurgery, Lithuanian University of Health Sciences, Kaunas, Lithuania http://lsmuni.lt/en/structure/medical-academy-/neuroscience-institute/ ARTICLE INFO : A B S T R A C T RECEIVED: 22 Sep 2014 Neurological and psychiatric disorders are considered major public health prob- REVISED: 02 Nov 2014 lems associated with a significant number of suffering patients and an enormous ACCEPTED: 14 Nov 2014 socioeconomic burden to societies. Therefore, significant research funds have ONLINE: 04 Jan 2015 been allocated towards improving outcomes of patients suffering from brain disorders. In recent years, researchers have been facing a constantly growing worldwide pressure to make their datasets freely and readily available to other K E Y W O R D S: researchers and the public. The major goal of this movement is to allow re-use of already collected data in order to facilitate medical progress. There are numer- Open Access ous ways that clinical neuroscience researchers and research organizations Dataset commonly employ to make their databases available. Institutional databases and Brain Diseases publicly available research and clinical data repositories and registries are the Disease Models most common ways to share data among researchers and organizations in order Data Sharing to facilitate collaboration. In addition, numerous traditional neuroscience peer reviewed journals have implemented various data sharing policies. Furthermore, a few traditional clinical neuroscience peer review journals have recently started accepting dataset papers. -
PDF, WIPO Forum 2013 Brochure
WIPO Forum 2013 From inspiration to innovation: The game-changers September 24, 2013 – 3.30 p.m. International Conference Center Geneva (CICG) Geneva, Switzerland WIPO Forum 2013 What would you change to ensure that future generations see widespread improvements in nutrition, in shelter, and in new therapies to heal troubled minds and bodies? Important breakthroughs are already while opening up the possibility of new on our doorstep and the WIPO Forum markets and new solutions—including 2013 is bringing together four vision- some that may still lie beyond the limits ary innovators, each disrupting cur- of our imagination. rent paradigms in a quest to improve some of the most basic elements of the For forward-looking policy makers, human experience: food, shelter, and here’s the question: How do we foster health. Their individual achievements a creative environment that promotes are astonishing. the kind of ground-breaking work done by the WIPO Forum 2013 panelists, That they share so much in com- while ensuring that the improvements mon is no less surprising. The work lift up our entire communities? What do of each of these change-makers has the innovators of the future need from challenged long-established industrial us—now? The first step in finding the styles, methods or modes of thought, answer is asking the question. Please join us for an interactive session on September 24 at the WIPO Forum 2013 on From inspiration to innovation: The game- changers and hear our panelists’ stories. 2 From inspiration to innovation: The game-changers Anthony Atala. For years, the needs of organ-transplant patients have far out- stripped the number of donors. -
Brain and Cognition
BRAIN AND COGNITION AUTHOR INFORMATION PACK TABLE OF CONTENTS XXX . • Description p.1 • Impact Factor p.1 • Abstracting and Indexing p.2 • Editorial Board p.2 • Guide for Authors p.3 ISSN: 0278-2626 DESCRIPTION . Brain and Cognition is a forum for the integration of the neurosciences and cognitive sciences. B&C publishes peer-reviewed research articles, theoretical papers, case histories that address important theoretical issues, and historical articles into the interaction between cognitive function and brain processes. The focus is on rigorous studies of an empirical or theoretical nature and which make an original contribution to our knowledge about the involvement of the nervous system in cognition. Coverage includes, but is not limited to memory, learning, emotion, perception, movement, music or praxis in relationship to brain structure or function. Published articles will typically address issues relating some aspect of cognitive function to its neurological substrates with clear theoretical import, formulating new hypotheses or refuting previously established hypotheses. Clinical papers are welcome if they raise issues of theoretical importance or concern and shed light on the interaction between brain function and cognitive function. We welcome review articles that clearly contribute a new perspective or integration, beyond summarizing the literature in the field; authors of review articles should make explicit where the contribution lies. We also welcome proposals for special issues on aspects of the relation between cognition and the structure and function of the nervous system. Such proposals can be made directly to the Editor-in-Chief from individuals interested in being guest editors for such collections. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. -
Elsevier Brain Science Report
BRAIN SCIENCE Mapping the Landscape of Brain BRAIN SCIENCE BRAIN and Neuroscience Research COLLABORATION & CROSS-DISCIPLINARY MOBILITY MAPPING THE LANDSCAPE OF BRAIN AND NEUROSCIENCE RESEARCH AND NEUROSCIENCE OF BRAIN THE LANDSCAPE MAPPING BRAIN RESEARCH OVERVIEW EMERGING TRENDS & FUNDING ANALYSIS INTERVIEWS WITH LEADING RESEARCHERS A REPORT PREPARED BY ELSEVIER RESEARCH ©2014 Elsevier B.V. All rights reserved. INTELLIGENCE ANALYTICAL SERVICES Elsevier Research Intelligence® is a registered trademark of Elsevier Properties S.A. used under license. 1 Preface The awarding of this year’s Nobel Prize in Physiology or Elsevier has also prioritized its commitment to supporting Medicine—to John O’Keefe, May-Britt Moser and Edvard neuroscience by developing domain-specific enhancements Moser—not only recognizes the achievement of three and search tools customized for neuroscientists within our excellent neuroscientists, but also stands as a tribute to products. We have interviewed hundreds of researchers the thriving field of brain research, a field that has seen to identify their most important challenges in search and impressive growth in the last decades. The proliferation discovery, and have started developing tools to solve them. of national and international funding initiatives has further Through this pilot program, we intend to transform scien- strengthened the brain and neuroscience research effort tific publishing to become smarter and more relevant, and and promises to accelerate our understanding of the human bring our solutions closer to the real problems researchers brain for the greater benefit of mankind. face in their work every day. Brain research is complex, encompassing the study of the Science is becoming increasingly data-centric, and brain re- organ itself, its cells, circuits, and structure (e.g., neurosci- search is no exception. -
Nonlinear Dendritic Coincidence Detection for Supervised Learning APREPRINT
NONLINEAR DENDRITIC COINCIDENCE DETECTION FOR SUPERVISED LEARNING APREPRINT Fabian Schubert Claudius Gros Institute for Theoretical Physics Institute for Theoretical Physics Goethe University Frankfurt Goethe University Frankfurt Frankfurt am Main Frankfurt am Main [email protected] [email protected] July 13, 2021 ABSTRACT Cortical pyramidal neurons have a complex dendritic anatomy, whose function is an active research field. In particular, the segregation between its soma and the apical dendritic tree is believed to play an active role in processing feed-forward sensory information and top-down or feedback signals. In this work, we use a simple two-compartment model accounting for the nonlinear interactions between basal and apical input streams and show that standard unsupervised Hebbian learning rules in the basal compartment allow the neuron to align the feed-forward basal input with the top-down target signal received by the apical compartment. We show that this learning process, termed coincidence detection, is robust against strong distractions in the basal input space and demonstrate its effectiveness in a linear classification task. Keywords Dendrites · Pyramidal Neuron · Plasticity · Coincidence Detection · Supervised Learning 1 Introduction In recent years, a growing body of research has addressed the functional implications of the distinct physiology and anatomy of cortical pyramidal neurons [Spruston, 2008, Hay et al., 2011, Ramaswamy and Markram, 2015]. In particular, on the theoretical side, we saw a paradigm shift from treating neurons as point-like electrical structures towards embracing the entire dendritic structure [Larkum et al., 2009, Poirazi, 2009, Shai et al., 2015]. This was mostly due to the fact that experimental work uncovered dynamical properties of pyramidal neuronal cells that simply could not be accounted for by point models [Spruston et al., 1995, Häusser et al., 2000]. -
Neuroscience Thinks Big Bring Them Together in a Unified View
PERSPECTIVES VIEWPOINT new computing technologies. Neuroscience is like the infant brain — it is flooded with data and theories but lacks the ability to Neuroscience thinks big bring them together in a unified view. We pin our hopes on more and more data with- (and collaboratively) out realizing that experiments can only give us a small fraction of what we need. The Eric R. Kandel, Henry Markram, Paul M. Matthews, Rafael Yuste and attempt to reconstruct the human brain as a computer model can provide a new focus Christof Koch for neuroscience and for clinical and tech- Abstract | Despite cash-strapped times for research, several ambitious collaborative nological research. It will help us to ‘clean neuroscience projects have attracted large amounts of funding and media up’ conflicting reports and teach us how to apply knowledge from animal studies to attention. In Europe, the Human Brain Project aims to develop a large-scale understanding the human brain. Ultimately, computer simulation of the brain, whereas in the United States, the Brain Activity it will allow us to discover the fundamental Map is working towards establishing a functional connectome of the entire brain, principles governing brain structure and and the Allen Institute for Brain Science has embarked upon a 10‑year project to function and to predictively reconstruct understand the mouse visual cortex (the MindScope project). US President Barack the brain from fragments of experimental data. Without this kind of understanding, Obama’s announcement of the BRAIN Initiative (Brain Research through Advancing we will continue to struggle to develop new Innovative Neurotechnologies Initiative) in April 2013 highlights the political treatments and brain-inspired computing commitment to neuroscience and is expected to further foster interdisciplinary technologies. -
Abstractions of the Mind Before Data Were So Abundant, Computer Models of the Brain Were Simple
OUTLOOK COGNITIVE HEALTH NEURAL MODELLING Abstractions of the mind Before data were so abundant, computer models of the brain were simple. Information is now much more plentiful — but some argue that models should remain uncomplicated. BY KELLY RAE CHI testing hypotheses on how the brain deals with amused Eliasmith, it did not surprise him. uncertainty in functions such as attention and Markram is well known for taking a different he first major results of the Blue Brain decision-making. approach to modelling, as he did in the Blue Project, a detailed simulation of a bit of There is a widespread preference for Brain Project. His strategy is to build in every MARIO WAGNER rat neocortex about the size of a grain hypothesis-driven approaches in the brain- possible detail to derive a perfect imitation of Tof coarse sand, were published last year1. The modelling community. Some models might be the biological processes in the brain with the model represents 31,000 brain cells and 37 mil- very small and detailed, for example, focusing hope that higher functions will emerge — a lion synapses. It runs on a supercomputer and on a single synapse. Others might explore the ‘bottom-up’ approach. Researchers such as is based on data collected over 20 years. Fur- electrical spiking of whole neurons, the com- Eliasmith and Pouget take a ‘top-down’ strat- thermore, it behaves just like a speck of brain munication patterns between brain areas, or egy, creating simpler models based on our tissue. But therein, say critics, lies the problem. even attempt to recapitulate the whole brain.