Simulation Neuroscience

Reconstruction of a single neuron

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.

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 Human Brain Project 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!

What you’ll learn

View the full Course Syllabus

Meet the instructors

The course is targeted at senior bachelor, master or PhD students in science or engineering fields looking for an introduction to Simulation Neuroscience.

It is a six-week course, with an estimated course load of 5-7 hours per week.

Suggested requirements

Knowledge of ordinary differential equations, and their numerical solution. Knowledge of programming in one of: Python (preferred), C/C++, Java, MATLAB, R.

Register for the MOOC