Experimental data are always as good as the instrumentation and measurement, but never any better. This course provides the very basics of instrumentation relevant to neurophysiology and neuromorphic engineering, it consists of two parts: a common introductory part involving analog signals and their acquisition (Part I), and a more specialized second part (Part II).

This course is about methods and results in Systems and Computational Neurosciences. The lectures cover electrophysiological methods for recording neural activity in the brain, statistical tools and models for spike train data analysis, and mathematical descriptions of neurons and interacting networks of neurons.

Thirteen major areas of research have been selected, which cover the key concepts that have led to our current ideas of how the nervous system is built and functions. We will read both original papers and explore the conceptual the links between them and discuss the 'sociology' of science, the pursuit of basic science questions over a century of research."

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.

Part A:Introduction to mechanics: kinematics, Newton's Laws, energy and momentum, rotation of solid bodies, movement in a central field, oscillations and waves.Part B: electrostatics, electric current, simple circuits, magnetic field, magnetic induction, Maxwell's equations, elements of optics.

The course treats the fundamental aspects of modern Electronics, Quantum mechanics and Atomic physics.

Introduction to experimental methods in neuroscience with examples from neuronal information processing, genexpression and genregulation in neural systems,and the neuro psycho pharmacology of behavior.

Thirteen major areas of research have been selected, which cover the key concepts that have led to our current ideas of how the nervous system is built and functions. We will read both original papers and explore the conceptual the links between them and discuss the 'sociology' of science, the pursuit of basic science questions over a century of research."

This course complements the course “Neural computation”. It focuses on the computations performed by neural populations to achieve specific motor and cognitive tasks.