|Module label||Introduction to Neurophysics|
|Credit points||6.0 KP|
2 SWS Lecture)
total workload 90h: 28h contact / 62h background reading/exam preparation
2 SWS Supervised exercise total workload 90h: 28h contact / 62h self-conducted exercise work/literature reading
|Institute directory||Department of Neurosciences|
|Applicability of the module||
Anemüller, Jörn (Module responsibility)
Anemüller, Jörn (Authorized examiners)
recommended in semester: 3 (with Matlab prereq.: 1)
|Skills to be acquired in this module||
++ Neurosci. knowlg.
+ Independent research
+ Scient. Literature
++ Interdiscipl. knowlg.
+ Data present./disc.
Students will learn to recognize the dynamics in neuronal networks as the result of an interplay of physical, chemical and biological processes. Overview over major physical measurement procedures for the quantification of structure and function in neuronal systems. Using the language of mathematics as a fundamental tool for the description of underlying biophysical processes with stochastics, linear algebra, differential equations. Information as represented on different length- and timescales: From microscopic processes to macroscopic functional models. Learning and adaptation as adjustment of a biophysical system to its environment.
|Language of instruction||English|
|Duration (semesters)||1 Semester|
|Module frequency||winter term / annually|
|Module capacity||30 (
Registration procedure / selection criteria: StudIP)
Recommended in combination with: 5.04.4012 Informationsverarbeitung und Kommunikation (phy350)
Will also be offered in "M.Sc. Physik, Technik, Medizin"
|Modullevel / module level|
|Modulart / typ of module|
|Lehr-/Lernform / Teaching/Learning method||Master of Science: Neuroscience|
|Vorkenntnisse / Previous knowledge||Computer programming (preferably Matlab), basic mathematics (statistics, analysis, linear algebra)|
|Course type||Comment||SWS||Frequency||Workload of compulsory attendance|
|Total time of attendance for the module||0 h|
|Examination||Time of examination||Type of examination|
|Final exam of module||
end of winter term
80% oral exam or written exam, 20% exercise work and presentation