Probing the Nonlinearity in Neural Systems Using Cross-frequency Coherence Framework

IFAC-PapersOnLine

Volumn 48, Issue 28, 2015, Pages 1386-1390

  Yang, Yuan ^a   Schouten, Alfred C ^a,b   Solis Escalante, Teodoro ^a   van der Helm, Frans C T ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Biological Systems; Frequency Domain Identification; Nonlinear System Identification

Indexed keywords

BIOLOGICAL SYSTEMS; FREQUENCY DOMAIN ANALYSIS; NONLINEAR SYSTEMS;

FREQUENCY DOMAINS; FREQUENCY-DOMAIN IDENTIFICATION; NEURAL SYSTEMS; NONLINEAR COUPLING; NONLINEAR INPUTS; NONLINEAR INTERACTIONS; NONLINEAR PROPERTIES; NONLINEAR TRANSFER;

HIGHER ORDER STATISTICS;

EID: 84988453144     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2015.12.326     Document Type: Conference Paper

References (16)

1. Schouten, A.C., de Vlugt, E., van der Helm, F.C.T., Design of perturbation signals for the estimation of proprioceptive reflexes. IEEE Transactions on Biomedical Engineering 55:5 (2008), 1612–1619.
2. Bortel, R., Sovka, P., Approximation of statistical distribution of magnitude squared coherence estimated with segment overlapping. Signal Processing 87:5 (2007), 1100–1117.
3. Billings, S.A., “Identification of Nonlinear Systems: A Survey”. IEE Proceedings Part D 127:6 (1980), 272–285.
4. Chen, C.C., Kiebel, S.J., Friston, K.J., Dynamic causal modelling of induced responses. NeuroImage 41:4 (2008), 1293–1312.
5. Chen, X., Chen, Z., Gao, S., Gao, X., Brain-computer interface based on intermodulation frequency. Journal of Neural Engineering, 10(6), 2013, 066009.
6. Daffertshofer, A., Peper, C., Frank, T., Spatio- temporal patterns of encephalographic signals during polyrhythmic tapping. Human Movement Science 19:4 (2000), 475–498.
7. Langdon, A.J., Boonstra, T.W., Breakspear, M., Multifrequency phase locking in human somatosensory cortex. Progress in Biophysics and Molecular biology 105:1 (2011), 58–66.
8. Lorenz, E.N., Deterministic nonperiodic flow. Journal of the Atmospheric Sciences 20:2 (1963), 130–141.
9. Nikias, C.L., Mendel, J.M., Signal processing with higher-order spectra. IEEE Signal Processing Magazine 10:2 (1993), 10–37.
10. Nikias, C.L., Raghuveer, M.R., Bispectrum estimation: A digital signal processing framework. Proceedings of the IEEE 75:7 (1987), 869–891.
11. Regan, M., Regan, D., Bispectrum estimation: A digital signal processing framework. Proceedings of the IEEE 133:3 (1988), 293–317.
12. Shils, J.L., Litt, M., Skolnick, B.E., Stecker, M.M., Bispectral analysis of visual interactions in humans. Electroencephalography and Clinical Neurophysiology 98:2 (1996), 113–125.
13. Snyder, A.Z., Steady-state vibration evoked potentials: description of technique and characterization of responses. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section 84:3 (1992), 257–268.
14. Tass, P., Rosenblum, M., Weule, J., Kurths, J., Pikovsky, A., Volkmann, J., Schnitzler, A., Freund, H.J., Detection of n: m phase locking from noisy data: application to magnetoencephalography. Physical Review Letters, 81(15), 1998, 3291.
15. Yang, Y., Solis-Escalante, T., Yao, J., van der Helm, F., Schouten, A., Nonlinear connectivity in sensorimotor control.In Dutch BME2015 conference. Egmond aan Zee, 2015, The Netherlands.
16. Young, CK., Eggermont, JJ., Coupling of mesoscopic brain oscillations: Recent advances in analytical and theoretical perspectives. Progress in Neurobiology 89:1 (2009), 61–78.