SOM-based similarity index measure: Quantifying interactions between multivariate structures

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2003-January, Issue , 2003, Pages 819-828

  Hegde, Anant ^a   Erdogmus, Deniz ^a   Rao, Yadunandana N ^a   Principe, Jose C ^a   Gao, Jianbo ^a  

^a University of Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; CONFORMAL MAPPING; SELF ORGANIZING MAPS;

CHAOTIC SIGNAL; EEG SIGNALS; FUNCTIONAL RELATIONSHIP; NUMBER OF SAMPLES; SIGNALS OF INTERESTS; SIMILARITY INDICES; STATISTICAL DISTRIBUTION;

SIGNAL PROCESSING;

EID: 84945196765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318081     Document Type: Conference Paper

References (14)

1. L.A. Baccala, K. Sameshirna, "Overcoming the limitations of correlation analysis for many simultaneously processed neural structures," Brain Research, vol. 130, pp. 33-47, 2001.
2. L.A. Baccala, K. Sameshima, "Partial directed coherence: a new concept in neural structure determination", Bioloeical Cybernetics. vol. 84, pp.463-474,2001.
3. M. Kaminiski, M. Ding, W.A. Truccolo, S.L. Bressler, "Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance", Biological Cybernetics, vol. 85, pp.145-157,2001.
4. B. Pompe, "Measuring statistical dependencies in a time series", Journal of Statistical physics. vol. 73, pp.587-610, 1993.
5. D. Hoyer, O. Hoyer, U. Zwiener, "A new approach to uncover dynamic phase coordination and synchronization", IEEE transactions on biomedical engineering, Vol. 47, pp.68-74,2000
6. M.G. Rosenblum, J. Kurths, "Analysing synchronization phenomena from bivariate data by means of the Hilbert transform," Nonlinear Analvsis of Phvsioloeical Data, (H. Kanlz, J. Kurths, G. Mayer-Kress, eds.), pp. 91-99, Springer, Berlin, 1998.
7. J.P. Lachaux, E.Rodriguez, J.Matinerie, F.Varela "Measuring phase-synchrony in brain signals", Human Brain Map. Vol. 8,pp.194-208, 1999.
8. J.P. Eckmann, K.D. Ruelle, Euroohvsics Letters. vol. 5, pp. 973, 1987
9. J. Gao, H. Cai, "On the structures and quantification of recurrence plots,"physics Letter A, vol. 270, pp. 75-87,2000.
10. N. Marwan, J. Kurths, "Nonlinear analysis of bivariate data with cross recurrence plots," Physics Leners A, vol. 302, pp. 299-307,2002.
11. J. Amhold, P. Grassberger, K. Lehnertz, C.E. Elger, "A robust method for detecting interdependencies: Application to intracranially recorded EEG," Physica D, vol. 134, pp. 419-430,1999.
12. R.Q. Quiroga, J. Arhnold, P. Grasberger, "Learning driver-response relationships from synchronization patterns," Physical Review E, vol. 61, pp. 5142-5148,2000.
13. nd edition, Prentice Hall, 1999.
14. J.C. Principe, N.R. Euliano, W.C. Lefebvre, Neural and Adaotive Systems: Fundamentals Though Simulation John Wiley & Sons, 2000.