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Artificial Intelligence (Master of Science) >>
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Numerische Neurotechnologie - Vorlesung (Neurotech)- Lecturer
- Prof. Dr. rer. nat. Tobias Reichenbach
- Details
- Vorlesung
Präsenz
2 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch, The password for joining the course on StudOn is: Neurotech22. The course will start with the first lecture on Thursday, 28th of April 2022.
Time and place: Thu 16:15 - 17:45, H6
- Fields of study
- WPF AI-MA 2 (ECTS-Credits: 2,5)
- ECTS information:
- Title:
- Computational Neurotechnology
- Credits: 5
- Contents
- Vermittlung der Grundlagen in Computational Neuroscience und in der Verarbeitung neuronaler Signale. Erarbeitung von Anwendungen im Bereich der künstlichen neuronalen Netzwerke, der Brain-Machine Interfaces (BCIs) und der neuronalen Prothesen.
- Literature
- Dayan, Peter, and Laurence F. Abbott. Theoretical neuroscience: computational and mathematical modeling of neural systems. Com-putational Neuroscience Series, 2001.
Gerstner, Wulfram, et al. Neuronal dynamics: From single neurons to networks and models of cognition. Cambridge University Press, 2014.
Oweiss, Karim G., ed. Statistical signal processing for neuroscience and neurotechnology. Academic Press, 2010.
Maurits, Natasha. From neurology to methodology and back: an introduction to clinical neuroengineering. Springer Science & Busi-ness Media, 2011.
Clément, Claude. Brain-Computer Interface Technologies. Springer International Publishing, 2019.
DiLorenzo, Daniel J., and Joseph D. Bronzino, eds. Neuroenginee-ring. CRC Press, 2007.
- Additional information
- Expected participants: 80, Maximale Teilnehmerzahl: 120
- Assigned lectures
- UE ([präsenz]):Numerische Neurotechnologie - Übung
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Lecturer: Prof. Dr. rer. nat. Tobias Reichenbach
Time and place: Tue 8:15 - 9:45, H6
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Numerische Neurotechnologie (Neurotech)
- Department: W3-Professur für Sensorische Neurotechnologie
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