Introduction to Neurobiology IV: Systems and Signals

 Introduction to the principles and methods of systems theoretical approaches and signal analyis in the brain sciences. Emphasis will be on deterministic, linear and non-linear models and advanced signal analysis techniques (both time and frequency domain approaches). Concepts and methods developed in the lecture (1h) will be illustrated and further elaborated in the accompanying exercises (2h), which provide an essential and, hence, obligatory part of this course. Participation in the complementary lecture "Introduction to Neurobiology III: Measurements and Models" (Winter Semester), though not obligatory, is strongly recommended.

Topics overview: see here

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This lecture forms part of the lecture series "Introduction to Neurobiology", consisting of four different lectures: I: Membranes, Neurons and Brains; II: Systems Neurophysiology; III: Measurements and Models; IV: Systems and Signals. This entire series is offered on a yearly basis: lectures I and III during the Winter Semester, lectures II and IV during the Sommer Semester. Lectures I and II focus on biological and computational aspects of modern brain science, lectures III and IV on methodological aspects of experimentation, data analysis and model building. Lecture I is a prerequisiste for lecture II, which covers brain function at a system’s level. Lectures III and IV are accompanied by exercises, elaborating the concepts and methods introduced in the lectures.