Magnus Johnsson, Christian Balkenius, Germund Hesslow



We present a study of a novel variant of the Self-Organizing Map (SOM) called the Associative Self-Organizing Map (A-SOM). The A-SOM is similar to the SOM and thus develops a representation of its input space, but in addition it also learns to associate its activity with the activity of one or several external SOMs. The A-SOM has relevance in e.g. the modelling of expectations in one modality due to the activity invoked in another modality, and in the modelling of the neuroscientific simulation hypothesis. The paper presents the algorithm generalized to an arbitrary number of associated activities together with simulation results to find out about its performance and its ability to generalize to new inputs that it has not been trained on. The simulation results were very encouraging and confirmed the ability of the A-SOM to learn to associate the representations of its input space with the representations of the input spaces developed in two connected SOMs. Good generalization ability was also demonstrated.


  1. Balkenius, C., Morén, J., Johansson, B., and Johnsson, M. (2008). Ikaros: Building cognitive models for robots. In Hülse, M. and Hild, M., editors, Workshop on current software frameworks in cognitive robotics integrating different computational paradigms (in conjunction with IROS 2008), Nice, France, pages 47-54.
  2. Bartolomeo, P. (2002). The relationship between visual perception and visual mental imagery: a reappraisal of the neuropsychological evidence. Cortex, 38:357- 378.
  3. Bishop, C. M. (1995). Neural Networks for Pattern Recognition. Oxford University Press.
  4. Carpenter, G., Grossberg, S., Markuzon, N., Reynolds, J., and Rosen, D. (1992). Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks, 3:698-713.
  5. Hesslow, G. (2002). Conscious thought as simulation of behaviour and perception. Trends Cogn Sci, 6:242- 247.
  6. Johnsson, M. and Balkenius, C. (2008). Associating SOM representations of haptic submodalities. In Ramamoorthy, S. and Hayes, G. M., editors, Towards Autonomous Robotic Systems 2008, pages 124-129.
  7. Kayser, C., Petkov, C. I., Augath, M., and Logothetis, N. K. (2007). Functional imaging reveals visual modification of specific fields in auditory cortex. J Neurosci, 27(1824-1835).
  8. Kohonen, T. (1988). Self-Organization and Associative Memory. Springer Verlag.
  9. Kosslyn, S., Ganis, G., and Thompson, W. L. (2001). Neural foundations of imagery. Nature Rev Neurosci, 2:635-642.
  10. McGurk, H. and MacDonald, J. (1976). Hearing lips and seeing voices. Nature, 264:746-748.
  11. Nguyen, L. D., Woon, K. Y., and Tan, A. H. (2008). A selforganizing neural model for multimedia information fusion. In International Conference on Information Fusion 2008, pages 1738-1744.
  12. Tan, A. H. (1995). Adaptive resonance associative map. Neural Networks, 8:437-446.

Paper Citation

in Harvard Style

Johnsson M., Balkenius C. and Hesslow G. (2009). ASSOCIATIVE SELF-ORGANIZING MAP . In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 363-370. DOI: 10.5220/0002318403630370

in Bibtex Style

author={Magnus Johnsson and Christian Balkenius and Germund Hesslow},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)},

in EndNote Style

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)
SN - 978-989-674-014-6
AU - Johnsson M.
AU - Balkenius C.
AU - Hesslow G.
PY - 2009
SP - 363
EP - 370
DO - 10.5220/0002318403630370