Compensation for speed-of-processing effects in EEG-data analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5326 LNCS, Issue , 2008, Pages 354-361

  Ihrke, Matthias ^a,b   Schrobsdorff, Hecke ^a,b   Herrmann, J Michael ^a,c  

^a BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^b MPI for Dynamics and Self Organization   (Germany)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROPHYSIOLOGY;

PROCESSING EFFECTS; PROCESSING SPEED; ROBUST ALGORITHM; SINGLE TRIAL; TEMPORAL INFORMATION;

ELECTROENCEPHALOGRAPHY;

EID: 58049104606     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88906-9_45     Document Type: Conference Paper

References (18)

1. Flexer, A.: Data mining and electroencephalography. Stat. Meth. Medical Res. 9, 395 (2000)
2. Woody, C.D.: Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals. Medical and Biological Engineering and Computing 5, 539-553 (1967)
3. Picton, T.W., Lins, O.G., Scherg, M.: The recording and analysis of event-related potentials. In: Boller, F., Grafman, J. (eds.) Handbook of Neuropsychology, pp. 3-73. Elsevier, Amsterdam (1995)
4. Gibbons, H., Stahl, J.: Response-time corrected averaging of event-related potentials. Clinical Neurophysiology 118, 197-208 (2007)
5. Schrobsdorff, H., Ihrke, M., Kabisch, B., Behrendt, J., Hasselhorn, M., Herrmann, J.M.: A Computational Approach to Negative Priming. Connection Science 19(3), 203-221 (2007)
6. Ihrke, M.: Negative priming and response-relation: Behavioral and electroencephalographic correlates. Master's thesis, U. Göttingen (2007). http://www.psych.uni-goettingen.de/home/ihrke
7. Haig, A.R., Gordon, E., Rogers, G., Anderson, J.: Classification of single-trial ERP subtypes. Electroencephalogry Clinical Neurophysiology 94(4), 288-297 (1995)
8. Truccolo, W.A., Ding, M., Knuth, K.H., Nakamura, R., Bressler, S.L.: Trial-to-trial variability of cortical evoked responses. Clinical Neurophysiology 113(2), 206-226 (2002)
9. de Weerd, J.P.: A posteriori time-varying filtering of averaged evoked potentials. I. Introduction and conceptual basis. Biological Cybernetics 41(3), 211-222 (1981)
10. Nagelkerke, N.J.D., Strackee, J.: Some notes on the statistical properties of a posteriori Wiener filtering. Biological Cybernetics 33(2), 121-123 (1979)
11. Truccolo, W.A., Ding, M., Bressler, S.L.: Variability and interdependence of local field potentials. Neurocomputing 38(40), 983-992 (2001)
12. Ciganek, L.: Variability of the human visual evoked potential: normative data. Electroencephalogr. Clin Neurophysiol. 27(1), 35-42 (1969)
13. Basar, E., Gonder, A., Ozesmi, C., Ungan, P.: Dynamics of brain rhythmic and evoked potentials. Biological Cybernetics 20(3-4), 137-143 (1975)
14. Lange, D.H., Siegelmann, H.T., Pratt, H., Inbar, G.F.: Overcoming selective ensemble averaging: unsupervised identification of event-related brain potentials. IEEE Transactions on Biomedical Engineering 47(6), 822-826 (2000)
15. Tibshirani, R., Walther, G., Hastie, T.: Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society: Series B 63(2), 411-423 (2001)
16. Woldorff, M.G.: Distortion of erp averages due to overlap from temporally adjacent erps: Analysis and correction. Psychophysiology 30, 98-119 (1993)
17. Myers, C., Rabiner, L.: A level building dynamic time warping algorithm for connected word recognition. IEEE Transact. Acoustics, Speech, and Signal Proc. 29, 284-297 (1981)
18. Keogh, E.J., Pazzani, M.J.: Derivative Dynamic Time Warping. In: First SIAM International Conference on Data Mining (SDM 2001) (2001)