This course provides hands-on experience with measurement and analysis methods relevant for Humans Systems Neuroscience and Motor control (nerve/brain stimulation, EMG, EEG, psycho-physical paradigms etc). Students read scientific material, set up experiments, perform measurements in the lab, analyse data, apply statistics and write short reports or essays.
This course will prepare students for experimental work as it is typically done during the master thesis. The goal is to gain hands-on experience with measurement and analysis methods relevant for Humans Systems Neuroscience and Motor control (ifor example peripheral nerve stimulation, electrical and magnetic brain stimulation, EMG, EEG, psycho-physical paradigms etc). Students will learn how to perform small scientific projects in this area. Students will work individually or in small groups and solve scientific problems which require them to perform measurements in human participants, extract relevant readouts from the data, apply appropriate statistics and interpret the results. They will also be required to write small essays and reports and they will get feedback on their writing throughout the course.
Prerequisites / Notice
Students are required to have successfully completed the course "Neural control of movement and motor learning" and to have basic knowledge of applied statistics. Self-study material about applied statistics will be available at the beginning of the course and statistical knowledge will be tested (central element) in the second course week. Passing this test is a requirement for continuing the course. Students will have to solve scientific problems, requiring them to independently study scientific material, apply statistics and report their results in the form of written reports and essays. Assessments will be made on the basis of the completed theoretical and practical work that will be performed either in small groups or individually.