neu320 - Introduction to Neurophysics (Course overview)

neu320 - Introduction to Neurophysics (Course overview)

Department of Neurosciences 6 KP
Module components Semester courses Winter semester 2023/2024 Examination
Lecture
Seminar
Exercises
Notes on the module
Prerequisites
recommended in semester: 3 (with Matlab prereq.: 1)
Reference text
Recommended in combination with: 5.04.4012 Informationsverarbeitung und Kommunikation (phy350)
Will also be offered in "M.Sc. Physik, Technik, Medizin"
Kapazität/Teilnehmerzahl 30 (
Registration procedure / selection criteria: StudIP
)
Prüfungszeiten
end of winter term
Module examination
80% oral exam or written exam, 20% exercise work and presentation
Skills to be acquired in this module

++ Neurosci. knowlg.
+ Independent research
+ Scient. Literature
++ Interdiscipl. knowlg.
++ Maths/Stats/Progr.
+ 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.