On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings

Biological Cybernetics

Volumn 81, Issue 3, 1999, Pages 199-210

  Bernasconi, Corrado ^a   König, Peter ^a  

^a Institute of Neuroinformatics Zurich   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN CORTEX; CAT; CELL COMMUNICATION; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; HUMAN; PHYSIOLOGY; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; CATS; CELL COMMUNICATION; CEREBRAL CORTEX; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; HUMANS; MODELS, BIOLOGICAL; SYNAPTIC TRANSMISSION;

EID: 0033190863     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004220050556     Document Type: Article

References (25)

1. Abeles M, Bergman H, Gat I, Meilijson I, Seidemann E, Tishby N, Vaadia E (1995) Cortical activity flips among quasi-statioanry states. Proc Natl Acad Sci USA, 92:8616-8620
2. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19:716-723
3. Baselli G, Cerutti S, Livraghi M, Meneghini C, Pagani M, Rimoldi O (1988) Causal relationship between heart rate and arterial blood pressure variability signals. Med Biol Eng Comput 26:374-378
4. Bendat J, Piersol A (1986) Random Data: analysis and measurement procedures 2nd edn. Wiley, New York
5. Blinowska K, Malinowski M (1991) Non-linear and linear forecasting of the eeg time series. Biol Cybern, 66:159-165
6. Chiang C, von Stein A, König P (1997) Interareal coupling in the awake behaving cat is dependent on the behavioral context. Soc Neurosci Abstr 23:405.5
7. Efron B, Tibshirani R (1993) An introduction to the bootstrap Chapman & Hall, New York
8. Felleman D.J, Van Essen D (1991) Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1:1-47
9. Franaszczuk P, Blinowska K, Kowalczyk M (1985) The application of parametric multichannel spectral estimates in the study of electrical brain activity. Biol Cybern 51:239-247
10. Gersch W (1970) Spectral analysis of eeg's by autoregressive decomposition of time series. Math Biosci 7:205-222
11. Gersch W (1972) Causality or driving in electrophysiological signal analysis. Math Biosci 14:177-196
12. Gersch W (1987) Non-stationary multichannel time series analysis. In: A. Gevins, A. Rémond, (eds), Methods of analysis of brain electrical and magnetic signals. EEG handbook, vol. 1, revised series, Elsevier, Amsterdam, pp 261-296
13. Geweke J (1982) Measurement of linear dependence and feedback between multiple time series. J Am Stat Assoc 77:304-313
14. Geweke J (1984) Measurement of conditional linear dependence and feedback between time series. J Am Stat Assoc 79:907-915
15. Geweke J, Meese R, Dent W (1983) Comparing alternative tests of causality in temporal systems: analytic results and experimental evidence. J Econometr 21:161-194
16. Granger C (1963) Economic processes involving feedback. Inf Control 6:28-48
17. Granger C (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37:424-438
18. Granger C (1980) Testing for causality: a personal viewpoint. J Econ Dyn Control 2:329-352
19. Hamilton J (1994) Time series analysis. Princeton University Press, Princeton, NJ
20. Lopes da Silva F, Mars N (1987) Parametric methods in eeg analysis. In: Gevins A and Rémond A (eds), Methods of analysis of brain electrical and magnetic signals. EEG handbook, vol. 1, revised series, Elsevier, Amsterdam p 243-260
21. Lütkepohl H (1993) Introduction to multiple time series analysis, 2nd edn Springer, Berlin Heidelberg New York
22. Mainardi L, Bianchi A, Furlan R, Piazza S, Barbieri R, di Virgilio V, Malliani A, Cerutti S (1997) Multivariate time-variant identification of cardiovascular variability signals: a beat-to-beat spectral parameter estimation in vagovasal syncope. IEEE Trans Biomed Eng 44:978-989
23. McEwen J, Anderson G (1975) Modeling the stationarity and gaussianity of spontaneous electroencephalographic activity. IEEE Trans Biomed Eng 22:361-369
24. Ungar L (1995) Forecasting. In: Arbib, M., (ed) The handbook of brain theory and neural networks, MIT Press, Boston, pp 399-403
25. Whittle P (1983) Prediction and regulation by linear least-square methods 2nd edn University of Minnesota Press, Minneapolis