In this course, you will be taught a broad overview of the growing field of sensorimotor neurotechnology. Upon successful completion of the course, the student will:
- Have a broad overview of some of the problems faced by human and artificial agents when they interact with the environment.
- Understand the basic neuroscience of the sensorimotor system and its core computations.
- Be able to explain how this neuroscientific knowledge is being used to create more intelligent sensorimotor technologies, such as haptic medical devices and sensitive prosthetics.
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In this course, you will learn how sensorimotor neuroscience is used to design a wide range of intelligent haptic and restorative technologies. These technologies include prosthetic limbs, brain-machine interfaces, wearable robotic fingers, and telerobotic surgical devices. The topics of the lectures will center around these specific technologies and how they are optimized by combining knowledge of the sensorimotor neuroscience with AI-based approaches. For example, we will see how decoding algorithms can interpret neural signals in order to control a robotic arm. We will also see how encoding models of biological receptors in the hand are used to restore the feeling of touch to prosthetic hands and telerobotic devices. In total, we will aim to illuminate the principles underlying human-technology integration.
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Advised: Some basic neuroscience knowledge and programming experience (Matlab, Python).
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The grade is based on one written exam and a final essay on a topic related to sensorimotor neurotechnology. There is a possibility to resit the exam. The average grade for exam and essay must be a 5.5 or higher.
The grades for the exam and essay will be published on Brightspace. Only the final grade will be introduced in Osiris.
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Please sign up for any course at (https://portal.ru.nl/home), it is obligatory.
Students who are enrolled for a course are also provisionally registered for the exam.
Resit: Manual register at (https://portal.ru.nl/home) until five working days prior to the date of the exam. No delayed registration is possible.
We urge you to always read the course information on Brightspace.
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