Metastable dynamical regimes in an oscillatory network modulated by an agent's sensorimotor loop

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life

Volumn , Issue , 2011, Pages 124-131

  Santos, Bruno A ^a,b   Barandiaran, Xabier E ^c   Husbands, Phil ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b CENTRO FEDERAL DE EDUCAÇÃO TECNOLÓGICA DE MINAS GERAIS   (Brazil)

^c Centre de Recherche en Epistemologie Appliquee Ecole Polytechnique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ACTIVITY; BRAIN DYNAMICS; CONTROL PARAMETERS; COORDINATION DYNAMICS; COORDINATION PATTERNS; DYNAMICAL APPROACHES; DYNAMICAL REGIME; MATHEMATICAL APPROACH; NETWORK PARAMETERS; OSCILLATORY NETWORKS; OSCILLATORY NEURAL NETWORKS; PHASE COHERENCE; PHASE-LOCK; RELATIVE PHASE; ROBOTIC AGENTS; SENSORI-MOTOR LOOPS;

BEHAVIORAL RESEARCH; COHERENT SCATTERING; DYNAMICS; NEURAL NETWORKS; SYNCHRONIZATION;

BRAIN;

EID: 80051634211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ALIFE.2011.5954659     Document Type: Conference Paper

References (27)

1. L. Steels and R. A. Brooks, The artificial life route to artificial intelligence: building embodied, situated agents. Routledge, 1995.
2. H. Haken, Synergetics: An Introduction. Nonequilibrium Phase Transitions and Self- Organization in Physics Chemistry and Biology. Springer Verlag, Nov. 1978.
3. G. Buzsaki, Rhythms of the brain. Oxford University Press, 2006.
4. R. Traub and M. Whittington, Cortical Oscillations in Health and Disease. Oxford University Press, 2010.
5. E. M. Izhikevich, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. MIT Press, 2007.
6. F. Varela, J. Lachaux, E. Rodriguez, and J. Martinerie, "The brain web: phase synchronization and large-scale integration," Nature Reviews Neuroscience, vol. 2, pp. 229-239, 2001.
7. L. M. Ward, "Synchronous neural oscillations and cognitive processes," TRENDS in Cognitive Sciences, vol. 17, no. 12, pp. 553-559, 2003.
8. A. K. Engel, P. Knig, A. K. Kreiter, T. B. Schillen, and W. Singer, "Temporal coding in the visual cortex: new vistas on integration in the nervous system," Trends in Neurosciences, v.15, n.6, pp.218-226, 1992.
9. W. Singer, "Visual feature integration and the temporal correlation hypothesis," Annu. Rev. Neurosci, vol. 18, pp. 555-586, 1995.
10. J. A. Kelso and D. A. Engstrm, The complementary nature. MIT Press, 2006.
11. J. A. S. Kelso, Dynamic patterns: the self-organization of brain and behavior. MIT Press, 1995.
12. V. K. Jirsa and J. A. S. Kelso, Coordination dynamics: issues and trends. Springer, 2004.
13. H. Haken, J. A. S. Kelso, and H. Bunz, "A theoretical model of phase transitions in human hand movements," Biological Cybernetics, vol. 51, no. 5, pp. 347-356, 1985.
14. V. K. Jirsa, A. Fuchs, and J. A. Kelso, "Connecting cortical and behavioral dynamics: bimanual coordination," Neural Computation, vol. 10, no. 8, pp. 2019-2045, Nov. 1998, PMID: 9804670.
15. S. L. Bressler and J. S. Kelso, "Cortical coordination dynamics and cognition," TRENDS in Cognitive Sciences, v.5, n.1, pp. 26-36, 2001.
16. J. A. S. Kelso, G. C. de Guzman, C. Reveley, and E. Tognoli, "Virtual partner interaction (VPI): exploring novel behaviors via coordination dynamics," PLoS ONE, vol. 4, no. 6, p. e5749, Jun. 2009.
17. A. Chemero, Radical embodied cognitive science. MIT Press, 2009.
18. J. S. Kelso and E. Tognoli, "Toward a complementary neuroscience: Metastable coordination dynamics of the brain," in Downward Causation and the Neurobiology of Free Will, ser. Understanding Complex Systems, N. Murphy, G. F. Ellis, and T. O'Connor, Eds. Springer Berlin / Heidelberg, 2009, pp. 103-124.
19. P. Bak and D. R. Chialvo, "Adaptive learning by extremal dynamics and negative feedback," Physical Review E, v.63, n.3, p. 031912, 2001.
20. G. Tononi and G. M. Edelman, "Consciousness and complexity," Science, vol. 282, pp. 1846-1851, 1998.
21. Y. Kuramoto, Chemical oscillations, waves, and turbulence. Springer, New York, 1984.
22. S. H. Strogatz, "From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators," Physica D: Nonlinear Phenomena, vol. 143, no. 1-4, pp. 1-20, 2000.
23. R. C. Moioli, P. A. Vargas, and P. Husbands, "Exploring the kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks," in IEEE Congress on Evolutionary Computation, 2010.
24. M. Breakspear, S. Heitmann, and A. Daffertshofer, "Generative models of cortical oscillations: neurobiological implications of the kuramoto model," Frontiers in Human Neuroscience, vol. 4, no. 190, 2010.
25. I. Harvey, "Artificial evolution: A continuing SAGA," in Evolutionary Robotics: From Intelligent Robots to Artificial Life - Proc. of 8th Intl. Symposium on Evolutionary Robotics, T. Gomi, Ed. Springer-Verlag Lecture Notes in Computer Science LNCS 2217, 2001.
26. A. Lutz, "Toward a neurophenomenology as an account of generative passages: a first empirical case study," Phenomenology and the Cognitive Sciences, vol. 1, pp. 133-167, 2002.
27. X. Barandiaran and A. Moreno, "ALife models as epistemic artefacts," in Proceeding of the 10th International Conference on Artificial Life. MIT Press, Cambridge: MA, 2006, p. 513519.