Seminar: Stochastic Models in Neuroscience
(Current Topics in Computational Neuroscience)

Link zu altem Vorlesungsverzeichnis

Thursdays 16:15-17:45 Course room: MAR 0.XXX

Talks of students on current topics theoretical and computational neuroscience.

Learning Outcomes

Acquisition of deeper knowledge in current research topics of computational neuroscience. Students will be able to search relevant actual literature to a given topic, and present their results in a talk and a written report.

Desirable prerequisites for participation in the courses:

A solid foundation in mathematics (analysis, linear algebra, probability). Basic knowledge of neuroscience and/or cognitive science will be an advantage.