Oral examination (written exam if there are a large number of participants)

Within the module Neuronal Computing one of the best organized and most efficient systems to the computer will be presented: the biological neuronal network. In a first step, methods for communication with this computer system will be shown. Starting from information theory, methods for recording neuronal signals and their signal processing will be treated. First, different methods for recording nerve signals and the problems arising with them are treated from the point of view of signal processing. Afterwards methods for signal processing of nerve signals (spike sorter etc.) are presented. In particular, the current methods such as the JPSH (Joint Peri-Stimulus Histogram) or ISC (Inca-SOM-Clusot) will be discussed. The course is divided into Information Theory, Neurons as Computers, Networked Neurons, Recording Techniques, Signal Processing of Neural Signals, Modular/ Population Coding, Unitary Events Analysis, and Applications.

The students have a deep scientific insight into neural computing based on current publications. They are able to transfer findings from biological systems and medicine directly into the field of computer science. This transfer performance requires a high degree of reading and learning competence and a high level of commitment to independent scientific information retrieval.

aktuelle Veröffentlichungen