Numerische Neurotechnologie (Neurotech)5 ECTS
(englische Bezeichnung: Computational Neurotechnology)
(Prüfungsordnungsmodul: Computational Neurotechnology / Numerische Neurotechnologie)

Lectures:

• • Numerische Neurotechnologie - Vorlesung
    (Vorlesung, 2 SWS, Tobias Reichenbach, Thu, 16:15 - 17:45, H6)
  • Numerische Neurotechnologie - Übung
    (Übung, 2 SWS, Tobias Reichenbach, Tue, 8:15 - 9:45, H6)
• Numerische Neurotechnologie

Inhalt:

Foundations of Computational Neuroscience and the processing of neural signals. Applications in the areas of artificial neural networks, Brain-Machine-Interfaces (BCIs) and neural prosthesis.

Lernziele und Kompetenzen:

• Can understand the principles of the analysis of neural signals
  

• Can apply information theory for the description of neural activity
  

• Can perform simulations of the dynamics of single neurons as well as of neural networks
  

• Can evaluate different approaches to construct Brain-Machine-Interfaces (BCIs)
  

• Can explain concepts for the design of neural prosthesis
  

Literatur:

Dayan, Peter, and Laurence F. Abbott. Theoretical neuroscience: computational and mathematical modeling of neural systems. Computational 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 & Business Media, 2011.
Clément, Claude. Brain-Computer Interface Technologies. Springer International Publishing, 2019.
DiLorenzo, Daniel J., and Joseph D. Bronzino, eds. Neuroengineering. CRC Press, 2007.

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Artificial Intelligence (Master of Science)
   (Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Wahlpflichtmodulbereich | Subsymbolic AI/Machine Learning | Computational Neurotechnology / Numerische Neurotechnologie)

Studien-/Prüfungsleistungen:

Computational Neurotechnology / Numerische Neurotechnologie (Prüfungsnummer: 42001)

Prüfungsleistung, Klausur, Dauer (in Minuten): 60, benotet, 5 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

Prüfungssprache: Englisch

Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023

1. Prüfer:

Tobias Reichenbach

Termin: 04.08.2022, 10:00 Uhr
Termin: 04.08.2022, 10:00 Uhr