Abstract
In order to investigate human information processing mechanism systematically, various methods of brain data measurement and analysis are required. It has been observed that multiple brain data such as fMRI brain images and EEG brain waves extracted from human multi-perception mechanism involved in a particular task are peculiar ones with respect to a specific state or the related part of a stimulus. Based on this point of view, we propose a way of peculiarity oriented mining for multi-aspect analysis in multiple human brain data, without using conventional image processing to fMRI brain images and frequency analysis to brain waves. The proposed approach provides a new way in Brain Informatics for automatic analysis and understanding of human brain data to replace human-expert centric visualization. We attempt to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Banquet, J.P.: Spectral Analysis of the EEG in Meditation. Electroencephalography and Clinical Neurophysiology 35, 143–151 (1973)
Banfield, J., Raftery, A.: Model-based Gaussian and Non-Gaussian Clustering. Biometrics 49, 803–821 (1993)
Consularo, L.A., Lotufo, R.A., Costa, L.F.: Data Mining Based Modeling of Human Visual Perception. In: Cios, K.J. (ed.) Medical Data Mining and Knowledge Discovery, pp. 403–431. Physica-Verlag, Heidelberg (2001)
Cerutti, S., Chiarenza, G., Liberati, D., Mascellani, P., Pavesi, G.: A Parametric Method of Identification of Single Trial Event-related Potentials in the Brain. IEEE Trans. Biomed. Eng. 35(9), 701–711 (1988)
Hornero, R., Martin-Fernandez, M., Alonso, A., Izquierdo, A., Lopez, M.: A DSP Implementation of Wavelet Transform to Detect Epileptiform Activity in the EEG. In: Proc. 8th Annual International Conference on Signal Processing Applications and Technology, ICAPAT 1997, pp. 692–696 (1997)
Liu, J.: Web Intelligence (WI): What Makes Wisdom Web? In: Proc. 18th International Joint Conference on Artificial Intelligence (IJCAI 2003), pp. 1596–1601 (2003)
Megalooikonomou, V., Herskovits, E.H.: Mining Structure-Function Associations in a Brain Image Database. In: Cios, K.J. (ed.) Medical Data Mining and Knowledge Discovery, pp. 153–179. Physica-Verlag, Heidelberg (2001)
Motomura, S., Zhong, N., Wu, J.L.: Brain Waves Data Mining for Human Multi-perception Activity Analysis. In: Proc. Inter. Workshop on Advanced Technologies for e-Learning and e-Science (ATELS 2004), pp. 65–72 (2004)
Mitchell, T.M., Hutchinson, R., Just, M., Niculescu, R.S., Pereira, F., Wang, X.: Classifying Instantaneous Cognitive States from fMRI Data. In: Proc. American Medical Informatics Association Annual Symposium, pp. 465–469 (2003)
Ohshima, M., Zhong, N., Yao, Y.Y., Murata, S.: Peculiarity Oriented Analysis in Multi-people Tracking Images. In: Dai, H., et al. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 508–518. Springer, Heidelberg (2004)
Sternberg, R.J., Lautrey, J., Lubart, T.I.: Models of Intelligence. American Psychological Association (2003)
Tsukimoto, H., Morita, C.: The Discovery of Rules from Brain Images. In: Arikawa, S., Motoda, H. (eds.) DS 1998. LNCS (LNAI), vol. 1532, pp. 198–209. Springer, Heidelberg (1998)
Zhong, N., Yao, Y.Y., Ohshima, M.: Peculiarity Oriented Multi-Database Mining. IEEE Transaction on Knowlegde and Data Engineering 15(4), 952–960 (2003)
Zhong, N., Wu, J.L., Nakamaru, A., Ohshima, M., Mizuhara, H.: Peculiarity Oriented fMRI Brain Data Analysis for Studying Human Multi-Perception Mechanism. Cognitive Systems Research 5(3), 241–256 (2004)
Zhong, N., Hu, J., Motomura, S., Wu, J.L., Liu, C.: Building a Data Mining Grid for Multiple Human Brain Data Analysis. Computational Intelligence 21(2), 177–196 (2005)
Zhong, N., Motomura, S., Wu, J.L.: Peculiarity Oriented Multi-Aspect Brain Data Analysis for Studying Human Multi-Perception Mechanism. In: Proc. SAINT 2005 Workshops (Workshop 8: Computer Intelligence for Exabyte Scale Data Explosion), pp. 306–309. IEEE Computer Society Press, Los Alamitos (2005)
Zhong, N., Liu, J., Yao, Y.Y., Wu, J.: Web Intelligence (WI) Meets Brain Informatics (BI). In: Proc. CME 2005 (2005) (in press)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhong, N. (2005). Multi-aspect Data Analysis in Brain Informatics. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_13
Download citation
DOI: https://doi.org/10.1007/11590316_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
Online ISBN: 978-3-540-32420-1
eBook Packages: Computer ScienceComputer Science (R0)