Viewing brain processes as Critical State Transitions across levels of organization: Neural events in Cognition and Consciousness, and general principles

BioSystems

Volumn 96, Issue 1, 2009, Pages 114-119

  Werner, Gerhard ^a  

^a The University of Texas at Austin   (United States)

Author keywords

Cognition; Complex dynamic systems; Consciousness; Contextual Emergence; Modern Critical Theory; Percolation; Phase transition; Renormalization Group Theory; State space; State transition; Statistical Mechanics; Universality Class

Indexed keywords

BENCHMARKING; BIOMECHANICS; BRAIN; COGNITION; PHASE TRANSITION;

ANIMALS; BRAIN; COGNITION; CONSCIOUSNESS; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS;

EID: 61349151642     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2008.11.011     Document Type: Article

References (73)

1. Anderson P.W. More is different. Science 177 (1972) 393-396
2. Atmanspacher H. Contextual emergence from physics to cognitive neuroscience. J. Conscious. Stud. 14 (2007) 18-36
3. Atmanspacher H., and Kronz F. Many realism. In: Scott J. (Ed). Modeling Consciousness Across Disciplines (1999), University of America Press, NY 281-306 (Chapter 12)
4. Atmanspacher H., and Bishop R.C. Stability conditions in contextual emergence. Chaos Complexity Lett. 2 (2007) 139-150
5. Atmanspacher H., and Rotter S. Interpreting neurodynamics: concepts and facts. Cogn. Neurodyn. 2 (2008) 297-318
6. Baars B.J. A Cognitive Theory of Consciousness (1988), Cambridge University Press
7. Baars B.J. The conscious access hypothesis: origins and recent evidence. Trends Cogn. Sci. 6 (2002) 47-52
8. Bassett D.S., Meyer-Lindenberg A., Achard S., Dule T., and Bullmore E. Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Natl. Acad. Sci. U.S.A. 103 (2006) 19518-19523
9. Batterman R.W. The Devil in the Details (2002), Oxford University Press
10. Baumann G. Mathematica for Theoretical Physics (2005), Springer, Berlin
11. Beggs J.M., and Plenz D. Neuronal avalanches in neocortical circuits. J. Neurosci. 23 (2003) 11167-11177
12. Beggs J.M., and Plenz D. Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures. J. Neurosci. 24 (2004) 5216-5229
13. Bishop R.C., and Atmanspacher H. Contextual emergence in the description of properties. Found. Phys. 36 (2006) 1753-1777
14. Braeutigam S., Stins J.F., Rose S.P.R., Swithenby S.J., and Ambler T. Magneto = encephalographic signals identify stages in real-life decision processes. Neural Plast. 8 (2001) 241-252
15. Braeutigam S., Rose S.P.R., Swithenby S.J., and Ambler T. The distributed neural systems supporting choice-making in real-life situations: differences between men and women when choosing groceries detected using magneto = encephalography. Eur. J. Neurosci. (2004) 1-10
16. Breitmeyer B.G., and Ogmen H. Visual Masking: Time Slices Through Conscious and Unconscious Vision (1984/2006), Oxford University Press, GB
17. Breskin I., Soriano J., Moses E., and Tlusty T. Percolation in living neural networks. Phys. Rev. Lett. 97 (2006) 188102
18. Bressler S.L., and Kelso J.A.S. Cortical coordination dynamics and cognition. Trends Cogn. Sci. 5 (2001) 26-36
19. Buzsaki G. Rhythms of the Brain (2006), Oxford University Press
20. Churchland P.M. A Neurocomputational Perspective (1989), MIT Press, Cambridge, MA
21. Churchland P.M. Inner space and outer spaces: the new epistemology. In: Hetherington S.S. (Ed). Epistemology Futures (2006), Clarendon Press, Oxford 48-70
22. Damasio A.R. The Feeling of What Happens: Body and Emotion in the Making of Consciousness (1999), Harcourt, New York
23. Damasio A.R. Fundamental feelings. Nature 413 (2001) 781
24. Dehaene A., and Changeux J.-P. Neural mechanisms for access to consciousness. In: Gazzaniga M. (Ed). The Cognitive Neurosciences. 3rd ed. (2003), MIT Press, Cambridge, MA
25. Dehaene S., Changeux J.-P., Naccache L., Sackur J., and Sergent C. Conscious, preconscious and subliminal processing: a testable taxonomy. Trends Cogn. Sci. 10 (2006) 204-211
26. Del Cul A., Baillet S., and Dehaene S. Brain dynamics underlying the nonlinear threshold for access to consciousness. PLoS 5 10 (2007) e260
27. Edelman G.M. Naturalizing consciousness: a theoretical framework. Proc. Natl. Acad. Sci. U.S.A. 100 (2003) 5520-5524
28. Fell J. Identifying neural correlates of consciousness: the state space approach. Conscious. Cogn. 13 (2004) 709-729
29. Fingelkurts A.A., and Fingelkurts A.A. Timing in cognition and EEG brain dynamics: discreteness vs. continuity. Cogn. Process 7 (2006) 135-162
30. Freeman W.J. The wave packet-the action potential of the 21st century. J. Integr. Neurosci. 2 (2003) 3-30
31. Freeman W.J., and Holmes M.D. Metastability, instability and state transitions in neocortex. Neural Networks 18 (2005) 497-504
32. Freeman W.J. Origin, structure and role of background EEG activity: part 3. Clin. Neurophysiol. 116 (2005) 1118-1129
33. Freeman W.J., Holmes M.D., West G.A., and Vanhatalo S. Dynamics of human neocortex that optimizes its stability and flexibility. Int. J. Intell. Syst. 21 (2006) 881-901
34. Gervasoni D., Lin S.H., Ribeirao S., Soares E.S., Pantoja J., and Nicolelis M.A.L. Global forebrain dynamics predict rat behavioral states and their transitions. J. Neurosci. 24 (2004) 11137-11147
35. Gladwell M. The Tipping Point: How Little Things Can Make a Big Difference (2000), Little Brown, Boston
36. Haldeman C., and Beggs J.M. Critical branching captures activity in living neural networks and maximizes the number of metastable states. Phys. Rev. Lett. 94 (2005) 058101
37. Haskell E., Nykamp D.Q., and Tranchina D. Population density methods for large scale modeling of neural networks with realistic synaptic kinetics: cutting the dimensions down to size. Network Comput. Neural Syst. 12 (2001) 141-174
38. Hobson J.A., Pace-Schott E.F., and Stickgold R. Dreaming and the brain: toward a cognitive neuroscience of conscious states. Behav. Brain Sci. 23 (2000) 793-1121
39. Kadanoff L.P. Scaling laws for icing models near Tc. Physics 2 (1966) 263-275
40. Kelso J.A.S., and Engstrom D.A. The Complementary Nature (2006), MIT Press, Cambridge, MA
41. Kozma R., Puljic M., Balister P., Bollobas B., and Freeman W.J. Neuropercolation: a random cellular automata approach to spatio-temporal neurodynamics. Lect. Notes Comput. Sci. 3305 (2004) 435-443
42. Kozma R., Puljic M., Balister P., Bollobas B., and Freeman W.J. Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biol. Cybern. 92 (2005) 367-379
43. Lakatos I. The Methodology of Scientific Research Programs (1978), Cambridge University Press, UK
44. Lamme V.A.F. Why visual attention and awareness are different. Trends Cogn. Sci. 7 (2003) 12-18
45. Lamme V.A.F. Towards a true neural stance on consciousness. Trends Cogn. Sci. 10 (2006) 494-501
46. Lamme V.A.F., and Roelfsema P.R. The distinct modes of vision offered by feedforward and recurrent processing. TINS 23 (2000) 571-579
47. Laughlin R.B. A Different Universe: Reinventing Physics from the Bottom Down (2005), Basic Books, New York
48. Laughlin R.B., and Pines D. The Theory of Everything. Proc. Natl. Acad. Sci. U.S.A. 97 (2000) 28-31
49. Lehmann D., Faber P.L., Gianotti L.R.R., Kochi K., and Pascual-Marqui R.D. Coherence and phase locking in the scalp EEG and between LORETTA model sources, and microstates as putative mechanisms of brain temporo-spatial functional organization. J. Physiol. (Paris) 99 (2006) 29-36
50. Lubeck S., and Willmann R.D.W. Scaling behavior of the directed percolation universality class. Nucl. Phys. B 718 (2005) 341-364
51. Marro J., and Dickman R. Nonequilibrium Phase Transitions in Lattice Models (1999), Cambridge University Press, Cambridge, UK
52. Meyer-Lindenberg A., Zieman U., Hajak G., Cohen L., and Berman K.F. Transitions between dynamical states of differing stability in the human brain. Proc. Natl. Acad. Sci. U.S.A. 99 (2002) 10948-10953
53. Odor G. Universality classes in non-equilibrium lattice systems. Rev. Mod. Phys. 76 (2004) 664-719
54. Pascual-Leone A., and Wals V. Fast backprojections from the motion to the primary visual area necessary for visual awareness. Science 292 (2001) 510-512
55. Rudrauf D., and Damasio A. The biological basis of subjectivity: a hypothesis. In: Kriegel U., and Williford K. (Eds). Self-representational Approaches to Consciousness (2006), MIT Press, Cambridge, MA 423-464
56. Schulman L.S., and Gaveau B. Coarse grains: the emergence of space and order. Found. Phys. 31 (2001) 713-731
57. Searl J.R. Consciousness. Annu. Rev. Neurosci. 23 (2000) 557-578
58. Sergent C., and Dehaene S. Is consciousness a graded phenomenon?. Psychol. Sci. 15 (2004) 720-728
59. Sokal A., and Bricmont J. Defense of a modest scientific realism. In: Carrier M., Roggenhofer J., Kueppers G., and Banchard Ph. (Eds). Knowledge and the World: Beyond The Science Wars (2004), Springer, Berlin
60. Sporns O., Chialvo D.R., Kaiser M., and Hilgetag C.C. Organization, development and function of complex brain networks. Trends Cogn. Sci. 8 (2004) 418-425
61. Stanley H.E. Introduction to Phase Transitions and Critical Phenomena (1987), Oxford University Press
62. Stauffer D., and Aharony A. Introduction to Percolation Theory (1994), CRC Press, Boca Raton
63. Super H., Spekreijse H., and Lamme V.A.F. Two distinct modes of sensory processing observed in monkey primary visual cortex (V1). Nat. Neurosci. 4 (2001) 304-310
64. Varela F.J., Lachaux J.P., Rodriguez E., and Martineri J. The brainweb: phase synchronization and large-scale integration. Nat. Rev. Neurosci. 2 (2001) 229-239
65. Wackermann J. Towards a quantitative characterization of functional states of the brain: from non-linear methodology to the global linear description. Int. J. Psychophysiol. 34 (1999) 65-80
66. Werner G. Siren call of metaphor: subverting the proper task of neuroscience. J. Integr. Neurosci. 3 (2004) 245-252
67. Werner G. Perspectives on the neuroscience of cognition and consciousness. BioSystems 87 (2007) 82-95
68. Werner G. Metastability, criticality and phase transitions in brain and its models. BioSystems 90 (2007) 496-508
69. Werner G. Brain dynamics across levels of organization. J. Physiol. 101 (2007) 273-279
70. Werner G. Consciousness related neural events viewed as brain state space transitions. Cogn. Neurodyn. 3 (2009) 83-95
71. Werner, G., in press. On critical state transitions between different levels in neural systems. New Math. Comput. J.
72. Wilson K.G. Problems in physics with many scales of length. Sci. Am. 241 (1979) 140-157
73. Yeomans J.M. Statistical Mechanics of Phase Transitions (1992/2002), Clarendon Press, Oxford