Emergent complex patterns in autonomous distributed systems: Mechanisms for attention recovery and relation to models of clinical epilepsy

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2, Issue , 2004, Pages 2066-2072

  Ohayon, Elan L ^a,c   Kwan, Hon C ^a   Burnham, W McIntyre ^a,b   Suffczynski, Piotr ^c,d   Kalitzin, Stiliyan ^c  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c STICHTING EPILEPSIE INSTELLINGEN NEDERLAND SEIN   (Netherlands)

^d UNIVERSITY OF WARSAW   (Poland)

Author keywords

Autonomous neurodynamics; Computer modeling; Intermittency; Recurrent neural network; Seizures

Indexed keywords

AUTONOMOUS NEURODYNAMICS; COMPUTER MODELING; INTERMITTENCY; SEIZURES;

DIAGNOSIS; DISEASES; ELECTROPHYSIOLOGY; LARGE SCALE SYSTEMS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NEUROLOGY; PERTURBATION TECHNIQUES; RECURRENT NEURAL NETWORKS;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 15744372545     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1400019     Document Type: Conference Paper

References (25)

1. L. A. Bunimovich, and J. Rehacek, "Nowhere dispersing 3D billiards with non-vanishing Lyapunov exponents," Commun. Math. Phys. vol. 189, pp. 729-757, 1997.
2. D. Dennett, Consciousness Explained. Boston: Little, Brown and Company, 1991.
3. B. Ermentrout, "Phase-plane analysis of neural activity," in The Handbook of Brain Theory and Neural Networks, M. A. Arbib, Ed. Cambridge, MA: MIT Press, 1995, pp. 339-343.
4. J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computation, Redwood City, CA: Addison-Wesley, 1991.
5. L.D. Iasemidis, D. S. Shiau, W. Chaovalitwongse, J.C. Sackellares, P. M. Pardalos, J.C. Principe, P.R. Camey, A. Prasad, B. Veeramani, and K. Tsakalis, "Adaptive epileptic seizure prediction system," IEEE Trans Biomed Eng. vol. 50:5, pp. 616-27, May 2003.
6. S. Kalitzin., B. W. van Dijk, and H. Spekreijse, "Self-organized dynamics in plastic neural networks: bistability and coherence," Biological Cybernetics, vol. 83, pp 139-150, 2000.
7. H. C. Kwan, E. L. Ohayon, P. A. Hwang, and W. M. Burnham, "Identification of close returns in human epileptiform EEG," Society for Neuroscience 2002 Abstracts, Program No. 793.1. Washington, DC: SFN, 2002.
8. Y.C. Lai, M. A. Harrison, M.G. Frei, and I. Osorio, "Inability of Lyapunov exponents to predict epileptic seizures," Phys Rev Lett., vol. 8, pp. 91-96, 2003.
9. K. Lehnertz, "Non-linear time series analysis of intracranial EEG recordings in patients with epilepsy-an overview," Int J Psychophysiol. vol. 34:1, pp. 45-52, Oct 1999.
10. K. Lehnertz, F. Mormann, T. Kreuz, R. G. Andrzejak, C. Rieke, P. David, C. E. Elger, "Seizure prediction by nonlinear EEG analysis," IEEE Eng Med Biol Mag. vol. 22:1, pp. 57-63, 2003.
11. J. Lian, J. Shuai, P. Hahn, and D. M. Durand, "Nonlinear dynamic properties of low calcium-induced epileptiform activity," Brain Res. vol 2:890, pp. 246-54, Feb 2001.
12. F. H. Lopes da Silva, W. Blanes, S. N. Kalitzin, J. Parra, P. Suffczynski, D. N. Velis, "Dynamical diseases of brain systems: different routes to epilepsy," IEEE. TBME, vol. 50:5, pp. 540-549, 2003.
13. F. H. Lopes da Silva, W. Blanes, S. N. Kalitzin, J. Parra, P. Suffczynski, D. N. Velis "Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity," Epilepsia, vol. 44 Suppl 12, pp. 72-83, 2003
14. G. B. Mindin, and R. Gilmore, "Topological analysis and synthesis of chaotic time series," Physica D, vol. 58, pp. 229-242, 1992.
15. M. E. J. Newman, "The Structure and Function of Complex Networks," SIAM Review vol. 45:2, pp 167-256, 2003.
16. E. L. Ohayon, R. Liu, W. M. Burnham, and H. C. Kwan " Characterization of human EEG by close return," Society for Neuroscience 2001 Abstracts, Program No. 83.9 Washington, DC: SFN, 2001.
17. E. L. Ohayon, S. Kalitzin, P. Suffczynski, F.Y. Jin, P. W. Tsang, S. Borrett, W. M. Burnham, and H. C. Kwan, "Charting Epilepsy by Searching for Intelligence in Network Space with the Help of Evolving Autonomous Agents," 2003 Ladislav Taue Conference in Neurobiology. Decoding and Interfacing the Brain: From Neuronal Assemblies to Cyborgs. Gif-sur-Yvette Cedex, France.
18. H.O. Peitgen, H. Juergens, and D. Saupe, Chaos and Fractals: New Frontiers of Science. New York: Springer-Verlag, 1992.
19. J.L. Perez Velazquez, H. Khosravani, A. Lozano, B. L. Bardakjian, P. L. Carlen, and R. Wennberg, "Type in Intermittency in Human Partial Epilepsy," Euro. J. Neurosci., vol. 11, pp. 2571-2576, 1999.
20. A. D. Priesol, D. S. Borrett, and H. C. Kwan, Dynamics of a Chaotic Neural Network in Response to a Sustained Stimulus. Technical Report # RBCV-TR-91-38, University of Toronto, Toronto. 1991.
21. nd ed. New York: John Wiley & Sons, 1988.
22. S. Shipp, "The brain circuitry of attention," Trends in Cognitive Sciences, vol 8:5, pp. 223-230, May 2004.
23. S. H. Strogatz, Nonlinear dynamics and chaos: With applications to physics, biology, chemistry, and engineering. Cambridge, MA: Perseus Books, 1994.
24. P. Suffczynski, S. Kalitzin and F. H. Lopes da Silva, "Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network," Neuroscience, vol. 126:2, pp. 467-484, 2004.
25. X. Wang, and E. K. Blum, "Dynamics and bifurcation of neural networks," in The Handbook of Brain Theory and Neural Networks, M. A. Arbib, Ed. Cambridge, MA: MIT Press, 1995, pp. 339-343.