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The Osnabrück University offers every Semester a wide variety of courses in the field of Data Science. The specific orientation and focus of the course is in the hands of the responsible lecturer and of course also depends on the degree programme for which it is offered.
For example, the courses offered by Cognitive Science, Computer Science, Econometrics, Psychology, Social Research and working groups in the field of Data Science are generally more application-oriented, while the courses offered at the Institute of Mathematics tend to have a more theoretical focus.
Current term
Decoding Neuronal Activity
8.3055
Dozenten
Beschreibung
Prerequisites: Matlab programming skills, foundations of statistical learning, classification, generative models.
Neuronal decoding is used in different domains of neuroscience, especially in brain computer interfaces. In this course we will use generative models for decoding information from EEG recordings. The course is structured such that we have formal teaching in the morning and hands-on computer exercises in the afternoon. The material will cover basic steps in spike train modeling as well as an introduction in classification using generative models. Model selection and regularization will also be discussed. Depending on the number of students we will perform a decoding competition. It is highly recommended to have background knowledge in generalized linear models from the neuroinformatics course or the advanced neuroninformatics course.
Weitere Angaben
Ort: 50/E07
Zeiten: Termine am Montag, 16.09.2024 - Donnerstag, 19.09.2024, Montag, 23.09.2024 10:00 - 11:30
Erster Termin: Montag, 16.09.2024 10:00 - 11:30, Ort: 50/E07
Veranstaltungsart: Blockseminar (Offizielle Lehrveranstaltungen)
Studienbereiche
- Cognitive Science > Bachelor-Programm
- Cognitive Science > Master-Programm
