Wörgötter, Florentin, Prof. Dr.

Professor of Physics


  • 1988 -1990 Postdoctoral Research Fellow, CNS Program, Prof. Dr. Koch, Div. of Biology 216-76, CALTECH, Pasadena, USA.
  • 1990 - 1995 Assistant at the Ruhr-Universität Bochum, Institut f. Physiologie, Prof. Dr. Eysel, Bochum, FRG.
  • 1994 Visiting Professor at the Academia Sinica, Inst. of Biophysics, Prof. Dr. Diao, Beijing, China.
  • 1995 - 2000 Heisenberg Fellow at the Ruhr-Universität Bochum, Institut f. Physiologie.
  • 1997 - 1997 Visiting Professor at the KTH, Stockholm, NADA-SANS, Prof. A. Lansner, Sweden.
  • 2000 Professor (“apl.”) at the Medical School in Bochum
  • 2000-2005 Professor at the Dept. of Psychology, Univ. Stirling, Scotland
  • 2002-2005 Director of INCITE (Institute of Neuronal Computational Intelligence & Technology)
  • since 2005 Professor at the Bernstein Center of University of Göttingen, Germany



Major Research Interests

Computational neuroscience, Artificial Neural Network, Experimental Neuroscience, Temporal Sequence Learning, Models of Synaptic Plasticity, The visual System and its Functional Connectivity



Homepage Department/Research Group

https://alexandria.physik3.uni-goettingen.de/cns-group/

Selected Recent Publications


  • Aein M, Aksoy EE, Wörgötter F (2019) Library of Actions: Implementing a Generic Robot Execution Framework by Using Manipulation Action Semantics. Int. Journal of Robotics Research, in press

  • Lüddecke T, Agostini A, Fauth M, Tamosiunaite M, Wörgötter F (2019) Distributional Semantics of Objects in Visual Scenes in Relation to Text, Artificial Intelligence, 274, 44-65

  • Aksoy EE, Wörgötter F (2017) Semantic decomposition and recognition of long and complex manipulation action sequences. International Journal of Computer Vision 122(1): 84-115

  • Fauth M, Wörgötter F, Tetzlaff C (2015) Formation and Maintenance of Robust Long-Term Information Storage in the Presence of Synaptic Turnover. PLoS Computational Biology 11(12): e1004684

  • Tetzlaff C, Dasgupta S, Kulvicius T, Wörgötter F (2015) The use of hebbian cell assemblies for nonlinear computation. Scientific Reports 5: 12866