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The EPFL is offering a free online course on Simulation Neuroscience. The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behavior and disease.
In this six week course, applicants will learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behavior, and disease. This course is self-paced.
Course At A Glance
Length: 6 weeks
Effort: 5-8 hours pw
Subject: Biology & Life Sciences
Institution: EPFL and edx
Languages: English
Price: Free
Certificate Available: Yes, Add a Verified Certificate for $49
Session: At your own pace
Providers’ Details
EPFL is the Swiss Federal Institute of Technology in Lausanne. The past decade has seen EPFL ascend to the very top of European institutions of science and technology: it is ranked #1 in Europe in the field of engineering by the Times Higher Education (based on publications and citations), Leiden Rankings, and the Academic Ranking of World Universities.
About This Course
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!
Why Take This Course?
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.
Learning Outcomes
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
Instructors
Henry Markram
Professor
École polytechnique fédérale de Lausanne
Idan Segev
Professor
École polytechnique fédérale de Lausanne
Sean Hill
Professor
École polytechnique fédérale de Lausanne
Dr. Felix Schürmann
Adjunct Professor
École polytechnique fédérale de Lausanne
Dr. Eilif Muller
Section Manager of Cells & Circuits in the Simulation Neuroscience Division
École polytechnique fédérale de Lausanne
Dr. Srikanth Ramaswamy
Senior Scientist in the Cells & Circuits Section of the Simulation Neuroscience Division
École polytechnique fédérale de Lausanne
Werner Van Geit
École polytechnique fédérale de Lausanne
Samuel Kerrien
Section Manager, Neuroinformatics Software Engineering
École polytechnique fédérale de Lausanne
Lida Kanari
PhD student, Molecular Systems, Simulation Neuroscience Division
École polytechnique fédérale de Lausanne
Requirements
Knowledge of ordinary differential equations, and their numerical solution
Knowledge of programming in one of Python (preferred), C/C++, Java, MATLAB, R
How To Join This Course
Go to the course website link
Create an edX account to SignUp
Choose “Register Now” to get started.
EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
Once applicant sign up for a course and activate their account, click on the Log In button on the edx.org homepage and type in their email address and edX password. This will take them to the dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)
Apply Now
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