CIN Members

In 2007, the CIN started with 25 principal investigators as cluster applicants, as stipulated in the DFG call for bids. When the CIN cluster was approved further  scientists from a range of institutions were incorporated, to make up the 48 'founding members' of the CIN. Since the beginning of 2014 the CIN has consisted of over 80 scientists in total. The membership process involves an application to the steering committee in which the candidate outlines his or her scientific profile and submits a list of publications. The committee's decision is based purely on the scientific excellence of each candidate.

CIN Members

Prof. Dr. Wolfgang Rosenstiel

Organization: University of Tübingen


Sand 13
72076 Tübingen

Phone number: +49 (0)7071 29 78956

Department: Faculty of Science, Dept. of Computer Engineering

Position: Dean, Faculty of Science

Area: CIN Members

Scientific topic: Neuroprosthetics and Brain-Computer-Interfaces

Field of Research

Research interests are covering the establishment of direct connections between neural tissue and external information processing tools. Direct connections means not only data processing of recorded data but also introducing information into the neural systems using adaptive stimulation. Selected current projects focus on the movement planning simultaneously observed via fMRI and EEG, adaptive stimulation in the barrel cortex of rats and a the development of a Bidirectional Cortical Communication Interface (BCCI) using ECoG. 


Signal processing, Machine Learning, Artificial Neural Networks, Bioanalog Information Processing


computational neuroscience; learning & memory; neuro-informatics; neuro-prosthetics

  1. Walter A, Bensch M, Brugger D, Rosenstiel W, Birbaumer N, Gharabaghi A, Bogdan M (2009). BCCI - a bidirectional cortical communication interface. Proceedings of the International Joint Conference on Computational Intelligence (IJCCI). 440-5.
  2. Brugger D, Rosenstiel W, Bogdan M (2008). Automatic Cluster Detection in Kohonen's SOM. IEEE Transactions on Neural Networks, Vol. 19(3):442-59, 2008.
  3. Halder S, Bensch M, Mellinger J, Bogdan M, Kübler A, Birbaumer N, Rosenstiel W (2007). Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation. Computational Intelligence and Neuroscience. Article ID 82069.  doi:10.1155/2007/82069.