Journal Articles

• N. Wilbert, T. Zito, R.-B. Schuppner, Z. Jedrzejewski-Szmek, L. Wiskott, and P. Berkes (2011)
  Building extensible frameworks for data processing: the case of MDP, Modular Toolkit for Data Processing
  Journal of Computational Science, doi: 10.1016/j.jocs.2011.10.005
  link   bibtex
• M. Franzius, N. Wilbert, and L. Wiskott (2011)
  Invariant Object Recognition and Pose Estimation with Slow Feature Analysis
  link   bibtex
• R. Legenstein, N. Wilbert, and L. Wiskott (2010)
  Reinforcement Learning on Slow Features of High-Dimensional Input Streams
  PLoS Comput. Biol. 2010; 6(8): e1000894. doi:10.1371/journal.pcbi.1000894
  link   bibtex
• T. Zito, N. Wilbert, L. Wiskott, P. Berkes (2009)
  Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework
  Front Neuroinformatics. 2008; 2: 8
  link   bibtex

Proceedings and other Articles

• L. Wiskott, P. Berkes, M. Franzius, H. Sprekeler, and N. Wilbert (2010)
  Slow Feature Analysis
  Scholarpedia
  link
• M. Franzius, N. Wilbert, and L. Wiskott (2008)
  Invariant Object Recognition with Slow Feature Analysis
  Proc. 18th Int'l Conf. on Artificial Neural Networks, ICANN'08, Prague, September 3-6, eds. Vera Kurková, Roman Neruda, and Jan Koutník, publ. Springer-Verlag, pp. 961-970
  link   bibtex

Conference Posters / Abstracts

• N. Wilbert, and L. Wiskott (2010)
  Hierarchical Slow Feature Analysis and Top-Down Processes
  Bernstein Conference on Computational Neuroscience, TU Berlin, 2010 (poster & abstract)
• S. Dahne, N. Wilbert, and L. Wiskott (2010)
  Self-organization of V1 Complex Cells Based On Slow Feature Analysis And Retinal Waves
  Bernstein Conference on Computational Neuroscience, TU Berlin, 2010 (poster & abstract)
• N. Wilbert, R. Legenstein, and L. Wiskott (2009)
  Slowness in hierarchical networks for visual processing
  Sloan-Swartz Centers for Theoretical Neurobiology Annual Meeting 2009, Harvard University, July 25-28, 2009 (poster)
• N. Wilbert, M. Franzius, R. Legenstein, and L. Wiskott (2009)
  Reinforcement learning on complex visual stimuli
  Eighteenth Annual Computational Neuroscience Meeting: CNS*2009, Berlin, Germany, 18–23 July 2009, publ. BMC Neuroscience 2009, 10(Suppl 1):P90 (poster & abstract)
  link   bibtex
• S. Dahne, N. Wilbert, and L. Wiskott (2009)
  Learning complex cell units from simulated prenatal retinal waves with slow feature analysis
  Eighteenth Annual Computational Neuroscience Meeting: CNS*2009, Berlin, Germany, 18–23 July 2009, publ. BMC Neuroscience 2009, 10(Suppl 1):P129 (poster & abstract)
  link   bibtex
• C. Hinze, N. Wilbert, and L. Wiskott (2009)
  Visualization of higher-level receptive fields in a hierarchical model of the visual system
  Eighteenth Annual Computational Neuroscience Meeting: CNS*2009, Berlin, Germany, 18–23 July 2009, publ. BMC Neuroscience 2009, 10(Suppl 1):P158 (poster & abstract)
  link   bibtex
• M. Franzius, N. Wilbert, and L. Wiskott (2008)
  Unsupervised learning of invariant 3D-object and pose representations with slow feature analysis
  Proc. Federation of European Neuroscience Societies (FENS) Forum 2008, Geneva, July 12-16 (poster & abstract)
• M. Franzius, N. Wilbert, and L. Wiskott (2007)
  Unsupervised learning of invariant 3D-object representations with slow feature analysis
  Proc. 3rd Bernstein Symposium for Computational Neuroscience, Göttingen, September 24-27, p. 105 (poster & abstract)
• N. Wilbert, M. Franzius, R. Cichy, S. Schmidt, S. Brandt, and L. Wiskott (2007)
  Towards a model of visual attention
  Proc. Midterm Evaluation of the German National Network for Computational Neuroscience, Berlin, Germany, December 3--4, p. 30 (poster & abstract)

Selected Talks

• MDP: Modular toolkit for Data Processing
  EuroScipy 2010 in Paris (slides & abstract)
• Python in Computational Neuroscience & Modular toolkit for Data Processing (MDP)
  at the DLR in Cologne in October 2009 (slides)
• Using the Modular Toolkit for Data Processing (MDP) Library
  Europython 2009 in Birmingham (abstract)