Research Project - Slowness as a computational principle for the visual cortex

Index

• A brief description of the research project.
• Laurenz Wiskott's project page (it includes the complete bibliography of the project).
• Matlab program to perform simulations with the temporal slowness model of self-organization of complex-cell receptive fields described in (Berkes and Wiskott 2002, 2003, 2005).
• Additional material to the paper
  Berkes, P. and Wiskott, L. (2005). "Slow feature analysis yields a rich repertoire of complex cell properties", Journal of Vision, 5(6), 579-602.
  (Results and statistics).
• Additional material to the paper
  Berkes, P. and Wiskott, L. (2002) "Applying Slow Feature Analysis to image sequences yields a rich repertoire of complex cells properties", in "Artificial Neural Networks", Proceedings ICANN 2002, pp. 81-86 , Springer.
  (Results and movies).
• An introduction to Slow Feature Analysis (by Laurenz Wiskott).
• Relevant bibliography: Visual System - Receptive Fields (by Laurenz Wiskott).