Call for Papers

Topics in Theory, Methods and Applications

We expect contributions related to the theoretical and methodological aspects of the self-organizing map including:

  • Data analysis and visualization with a special topic of modeling dynamic phenomena
  • Various mathematical approaches including information theory and mathematical statistics
  • Software and hardware implementations
  • Architectural solutions including hierarchical and growing networks, ensemble models and special metrics
  • Neuro-cognitive studies that compare modeling and empirical results at different levels
  • Models, experimental investigations and applications of autonomous mental development.

Contributions related to learning vector quantization methods are also encouraged. We also call for scientific and practice-oriented papers that describe the use of self-organizing maps and their variants in different application areas including but not limited to:

  • Data mining
  • Pattern recognition
  • Signal processing
  • Knowledge management
  • Time series processing
  • Industrial applications
  • Bioinformatics
  • Biomedical applications
  • Telecommunications
  • Financial analysis
  • Cognitive modeling
  • Language modeling
  • Robotics and intelligent systems
  • Image processing and vision
  • Speech processing
  • Text and document analysis


All accepted papers will be published by Springer in their Advances in Intelligent Systems and Computing book series and at Extended versions of selected papers from WSOM 2012 will be published in a special issue of the Neurocomputing journal (Elsevier).