Abstract
In this work we have been applying self-organizing feature maps [3] to the problem of unsupervised classification of EEG data. The type of EEG used are so-called coherence maps based on 19 electrodes, which were derived during specific cognitive taks such as mental rotation. The goal was to exploit the network learning scheme as extractor for any task- (or other parameter-) related information in the data. In other words, we used the self-organizing feature maps to detect whether the EEG inputs can be classified acording to underlying parameters such as the type of task performed. This paper reports about the very promising results of the experiments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amthauer R.: IST 70 — Intelligenz-Struktur-Test, Verlag Hogrefe, 1970.
Elo P., J. Saarinen, A. Värri, H. Nieminen, K. Kaski: Classification of Epileptic EEG by Using Self-Organizing Maps, in Aleksander I., Taylor J. (eds.): Artificial Neural Networks 2, Elsevier Science Publishers, 1147–1150, 1992.
Kohonen T.: Self-organized formation of topologically correct feature maps, Biological Cybernetics 43:59–69, 1982.
Litscher G., Flotzinger D., Pfurtscheller G.: Die Verwendung neuronaler Netzwerke bei der Mustererkennung von Schlafprofilen; to appear in: Löffler (ed.): Central Nervous System Monitoring, Verlag Wilhelm Maudrich Wien-München-Bern, 1993.
Lo P.-C., Principe J.C.: Dimensionality Analysis of EEG Segments: Experimental Considerations, in IEEE International Conference On Neural Networks, Washington D.C., IEEE, Volume 1, pp.693–698, 1989.
Rappelsberger P., Dorffner G., Flexer A.: Classification of EEG coherence maps of cognitive processes; to appear in: Löffler (ed.): Central Nervous System Monitoring, Verlag Wilhelm Maudrich Wien-München-Bern, 1993.
Ritter H., Martinetz T., Schulten K.: Neuronale Netze, Addison-Wesley, Reading, MA, 1990.
Shepard R.N., Cooper L.A.: Mental images and their transformations, MIT Press Cambridge, 1982.
Stumpf H., Fay E.: Schlauchfiguren: Ein Test zur Beurteilung des räumlichen Vorstellungsvermögens, 1983.
Wang G., Takigawa M., Miyazaki T., Takeishi T.: Analysis of EEG Changes Between Frontal and Occipital Area in Speaking Process, in Caudill M. (ed.), Proceedings of the International Joint Conference on Neural Networks (Winter Meeting), Washington D.C., Lawrence Erlbaum, Hillsdale, NJ, pp.27–30, 1990.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer-Verlag London Limited
About this paper
Cite this paper
Dorffner, G., Rappelsberger, P., Flexer, A. (1993). Using Selforganizing Feature Maps to Classify EEG Coherence Maps. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_258
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2063-6_258
Published:
Publisher Name: Springer, London
Print ISBN: 978-3-540-19839-0
Online ISBN: 978-1-4471-2063-6
eBook Packages: Springer Book Archive