Credits: 6 CP

Workload: 180 h

Semester: any semester Master

Cycle (Turnus): each SS

Duration (Dauer): 1 semester

Contact time (Kontaktzeit): 4 SWS (60 h)

Self studies (Selbststudium): 120 h

Group size (Gruppengröße): ca 20

Language: English.

Learning outcomes (Lernziele): After the successful completion of this course the students

  • know basic neurobiological facts about the visual system and the hippocampus,
  • know a number of related models and methods in computational neuroscience,
  • understand the mathematics of these methods,
  • can communicate about all this in English.

Content (Inhalt): This lecture covers basic neurobiology and models of selforganization in neural systems, in particular addressing vision (receptive fields, neural maps), and hippocampus (navigation and associative memory).

Teaching format (Lehrformen): This course is given with the flipped/inverted classroom concept. The students work through online material, this will then be deepened in the tutorial with some exercises and then deepened further in the lecture with some general discussion. The exercises are solved in the tutorial in a group effort, not at home. The students therefore have the opportunity to meet already at 9:00 to work on the exercises on their own.

Exam (Prüfungsformen): The course is concluded with a ca 20 min oral exam. The dates are set at the end of the semester.

Condition for granting the credit points (Voraussetzungen für die Vergabe von Kreditpunkten): Passed oral exam

Requirements: The mathematical level of the course is mixed but generally high. The tutorial is almost entirely mathematical. Mathematics required include calculus (functions, derivatives, integrals, differential equations, ...), linear algebra (vectors, matrices, inner product, orthogonal vectors, basis systems, ...), and a bit of probability theory (probabilities, probability densities, Bayes' theorem, ...).

Course Material: Please download all material you need until end of February, because beginning in March I prepare the new course and some links of the old course might break.