Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of GraphSearch.
This course explains the mathematical and computational models that are used in the field of neurorobotics to answer these questions. The core of understanding intelligence and behavior may lie in interplay between our senses, the millions of neurons in our brain and our actions in the environment. In 6 weeks you will learn: By the end of the course, you will be able to: Build model animals that exhibit simple behaviors like moving towards or away from a stimulus, understand how sensory representations are learned from structured sensory input, understand how optimal actions can be selected, based on an animals prior experience, understand simple mathematical models of reinforcement learning, understand simple models of how simple animals or robots can behave autonomously in a dynamic environment.
Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi
Henry Markram, Rodrigo de Campos Perin
Friedhelm Christoph Hummel, Takuya Morishita, Pierre Theopistos Vassiliadis, Elena Beanato, Esra Neufeld, Fabienne Windel, Maximilian Jonas Wessel, Traian Popa, Julie Duqué