Simulation Neuroscience

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
30 часов курса
О курсе

Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.

The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations.

This is a unique, massive open online course taught by a multi-disciplinary team of world-renowned scientists.In this first course, you will gain the knowledge and skills needed to create simulations of biological neurons and synapses.

This course is part of a series of three courses, where you will learn to use
state-of-the-art modeling tools of the HBP Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments.
We invite you to join us and share in our passion to reconstruct, simulate and understand the brain!

Программа
Simulation Neuroscience
Learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behaviour and disease.
Что Вы изучите?
  • Discuss the different types of data for simulation neuroscience
  • How to collect, annotate and register different types of neuroscience data
  • Describe the simulation neuroscience strategies
  • Categorize different classification features of neurons
  • List different characteristics of synapses and behavioural aspects
  • Model a neuron with all its parts (soma, dendrites, axon, synaps) and its behaviour
  • Use experimental data on neuronal activity to constrain a model
Лекторы
Henry Markram
Henry Markram
Professor École polytechnique fédérale de Lausanne
Henry Markram is a professor of neuroscience at the Swiss Federal Institute for Technology (EPFL), director of the Laboratory of Neural Microcircuitry (LNMC) and the founder and Director of the Blue Brain Project. Markram’s research has focused on synaptic plasticity and the microcircuitry of the neocortex, in which he has discovered fundamental principles governing synaptic plasticity and the structural and functional organization of neural microcircuitry. Other key discoveries include the concept of Liquid Computing and the Intense World Theory of Autism.
Idan Segev
Idan Segev
Professor École polytechnique fédérale de Lausanne
Prof. Idan Segev is the David & Inez Myers Professor in Computational Neuroscience and former director of the Interdisciplinary Center for Neural Computation (ICNC) at the Hebrew University of Jerusalem, where he received B.Sc. in Math, and Ph.D. in experimental and theoretical neurobiology. His research team utilizes computational and theoretical tools to study how neurons, the elementary microchips of the brain, compute and dynamically adapt to our ever-changing environment. Segev takes a keen interest in the connection between art and the brain, and recently co-edited an “Artists Book” with original etchings by ten top Israeli artists, which were prompted by an encounter with ICNC researchers.
Sean Hill
Sean Hill
Professor École polytechnique fédérale de Lausanne
Sean 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 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.
Felix Schürmann
Felix Schürmann
Adjunct Professor École polytechnique fédérale de Lausanne
Felix Schürmann is adjunct professor at the Ecole Polytechnique Fédérale de Lausanne, 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.
Eilif Muller
Eilif Muller
Section Manager of Cells & Circuits in the Simulation Neuroscience Division École polytechnique fédé...
Dr. Eilif Benjamin Muller is the Section Manager of Cells & Circuits in the Simulation Neuroscience Division. Dr. Muller leads the team of researchers at Blue Brain who develop, refine and study our flagship simulations of neocortical tissue, under the direction of Prof. Henry Markram, and in close collaboration with Prof. Felix Schürmann, Prof. Sean Hill, Prof. Idan Segev (Jerusalem) and Prof. Javier DeFelipe (Madrid). The team employs state-of-the-art simulations on some of the world’s largest supercomputers in order to advance our understanding of the synergistic principles of neocortical architecture, neuronal coding, and plasticity.
Srikanth Ramaswamy
Srikanth Ramaswamy
Senior Scientist in the Cells & Circuits Section of the Simulation Neuroscience Division École polyt...
Dr. Srikanth Ramaswamy is a Senior Scientist in the Cells & Circuits Section of the Simulation Neuroscience Division. Dr. Ramaswamy leads the effort in modeling synaptic transmission and neuromodulation in the Blue Brain Project’s flagship simulations of neocortical tissue, under the direction of Prof. Henry Markram, and in close collaboration with Dr. Eilif Muller, Prof. Idan Segev (Jerusalem) and Prof. Javier DeFelipe (Madrid). Dr. Ramaswamy joined the Blue Brain Project in 2006, as one of its first scientific team members and completed his PhD. under the supervision of Prof. Henry Markram in 2011. He then did a brief postdoc at the EPFL and the CHUV until his appointment as a Senior Scientist at the Blue Brain Project in 2014.
Werner Van Geit
Werner Van Geit
Werner is a systems specialist in Blue Brain, where he is responsible for the software used in Blue Brain's single cell modelling pipeline. He mainly focuses on automated parameter optimisation for Blue Brain's open source BluePyOpt tool, but he is also active in maintaining and extending other Blue Brain software packages. Werner obtained his Masters degree in Informatics from the University of Ghent, after which he worked as a researcher in the Computational Neuroscience at the University of Antwerp under the supervision of Prof. Erik De Schutter. He then relocated to the Okinawa Institute of Science and Technology in Japan for three and a half years. After joining Blue Brain in 2011 he shifted his focus towards scientific software development.
Samuel Kerrien
Samuel Kerrien
Section Manager, Neuroinformatics Software Engineering École polytechnique fédérale de Lausanne
Samuel Kerrien is the section manager of the Neuroinformatics Software Engineering section in the Neuroinformatics Division headed by Professor Sean Hill. He has extensive experience with the Java and big data ecosystems, data integration in life science as well as making software development teams more effective using agile processes. He is mainly focused on developing Blue Brain Nexus platform that lies at the heart of the Blue Brain core activities.
Lida Kanari
Lida Kanari
PhD student, Molecular Systems, Simulation Neuroscience Division École polytechnique fédérale de Lau...
Lida Kanari is a PhD student in the Molecular Systems Section in the Simulation Neuroscience Division. Lida’s main focus is to understand the fundamental principles of neuronal morphologies in order to artificially reproduce them, so that they are statistically indistinguishable from the biological ones. She is developing tools based on mathematical principles such as Topology, Markov Models and Stochastic Processes to model and reproduce neuronal shapes. Lida has a MSc in Applied Mathematics and Physics and a MSc Computational Fluid Mechanics from the National Technical University of Athens, Greece.
Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.