• DocumentCode
    1944295
  • Title

    Cortical aperiodic shutter enabling phase transitions at theta rates

  • Author

    Freeman, Walter J.

  • Author_Institution
    Univ. of California Berkeley, Berkely
  • fYear
    2007
  • fDate
    12-17 Aug. 2007
  • Firstpage
    1192
  • Lastpage
    1197
  • Abstract
    Brains are open thermodynamic systems, continually dissipating metabolic energy as heat in constructing spatiotemporal patterns of neural activity. Here patterns of cortical oscillations are described as Prigogine´s ´dissipative structures´ formed at a conditionally stable operating point far from equilibrium. Around that point exists a small-signal, near-linear range in which pairs of impulse responses superpose. Piece-wise linearization extends analysis into nonlinear ranges. Resulting root loci are interpreted as projections from a phase plane, in which the three phase boundaries are graphed in the coordinates of rate of change in a dynamic order parameter (negentropy) on the ordinate analogous to static pressure vs. energy dissipation (power) analogous to static temperature on the abscissa. The graph reveals the neural mechanisms that implement phase transitions, which enable the limbic system to repeat the action-perception cycle at 3-7 Hz. Salient among these are null spikes (´vortices´) found in background ECoG.
  • Keywords
    biothermics; electroencephalography; neurophysiology; oscillations; piecewise linear techniques; ECoG; Prigogine dissipative structures; action-perception cycle; brains; cortical aperiodic shutter; cortical oscillations; heat; impulse responses; metabolic energy; negentropy; neural activity; null spikes; open thermodynamic systems; phase boundaries; phase transitions; piecewise linearization; spatiotemporal patterns; theta rates; Biological neural networks; Chirp modulation; Current density; Energy dissipation; Neurons; Nonlinear dynamical systems; Signal analysis; Spatiotemporal phenomena; Thermodynamics; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1379-9
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2007.4371127
  • Filename
    4371127