The course introduces bioelectricity and the sensing concepts that enable obtaining information about neurons and their networks. The sources of electrical fields and currents in the context of biological systems are discussed. The fundamental concepts and challenges of measuring bioelectronic signals and the basic concepts to record optogenetically modified organisms are introduced.

Usually a student selects the topic of a Master Short Project in consultation with his or her mentor.

Usually a student selects the topic of a Master Short Project in consultation with his or her mentor.

The Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working.

The Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working.

Neural Systems 2026 links biophysical neuron models to computation and behavior. It covers action potentials and dynamical systems, population and neural-mass models, memory and associative networks, birdsong and language learning, predictive coding, Bayesian inference and information theory, dimensionality reduction, intrinsic motivation, and neuroeconomic decision making.