IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v55y2013icp13-31.html
   My bibliography  Save this article

Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations

Author

Listed:
  • Fingelkurts, Andrew A.
  • Fingelkurts, Alexander A.
  • Neves, Carlos F.H.

Abstract

In this paper we aim to show that phenomenal consciousness is realized by a particular level of brain operational organization and that understanding human consciousness requires a description of the laws of the immediately underlying neural collective phenomena, the nested hierarchy of electromagnetic fields of brain activity – operational architectonics. We argue that the subjective mental reality and the objective neurobiological reality, although seemingly worlds apart, are intimately connected along a unified metastable continuum and are both guided by the universal laws of the physical world such as criticality, self-organization and emergence.

Suggested Citation

  • Fingelkurts, Andrew A. & Fingelkurts, Alexander A. & Neves, Carlos F.H., 2013. "Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 13-31.
  • Handle: RePEc:eee:chsofr:v:55:y:2013:i:c:p:13-31
    DOI: 10.1016/j.chaos.2013.02.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077913000350
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2013.02.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andrew A. Fingelkurts & Alexander A. Fingelkurts & Carlos F. H. Neves, 2009. "Phenomenological Architecture Of A Mind And Operational Architectonics Of The Brain: The Unified Metastable Continuum," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 221-244.
    2. Manfred G Kitzbichler & Marie L Smith & Søren R Christensen & Ed Bullmore, 2009. "Broadband Criticality of Human Brain Network Synchronization," PLOS Computational Biology, Public Library of Science, vol. 5(3), pages 1-13, March.
    3. Bianco, Simone & Geneston, Elvis & Grigolini, Paolo & Ignaccolo, Massimiliano, 2008. "Renewal aging as emerging property of phase synchronization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1387-1392.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pavel Kraikivski, 2022. "A Dynamic Mechanistic Model of Perceptual Binding," Mathematics, MDPI, vol. 10(7), pages 1-12, April.
    2. Paradisi, Paolo & Allegrini, Paolo, 2015. "Scaling law of diffusivity generated by a noisy telegraph signal with fractal intermittency," Chaos, Solitons & Fractals, Elsevier, vol. 81(PB), pages 451-462.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert G. Sacco, 2019. "The Predictability of Synchronicity Experience: Results from a Survey of Jungian Analysts," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 11(3), pages 1-46, September.
    2. Todd Zorick & Mark A Mandelkern, 2013. "Multifractal Detrended Fluctuation Analysis of Human EEG: Preliminary Investigation and Comparison with the Wavelet Transform Modulus Maxima Technique," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.
    3. Hollingshad, Nicholas W. & Turalska, Malgorzata & Allegrini, Paolo & West, Bruce J. & Grigolini, Paolo, 2012. "A new measure of network efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1894-1899.
    4. Wei, Jinling & Zhou, Haiyan & Meng, Jun & Zhang, Fan & Chen, Yunmo & Zhou, Su, 2016. "The SOC in cells’ living expectations of Conway’s Game of Life and its extended version," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 348-352.
    5. Mikail Rubinov & Olaf Sporns & Jean-Philippe Thivierge & Michael Breakspear, 2011. "Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons," PLOS Computational Biology, Public Library of Science, vol. 7(6), pages 1-14, June.
    6. Marcelo G Mattar & Michael W Cole & Sharon L Thompson-Schill & Danielle S Bassett, 2015. "A Functional Cartography of Cognitive Systems," PLOS Computational Biology, Public Library of Science, vol. 11(12), pages 1-26, December.
    7. Aguilar-Velázquez, D. & Guzmán-Vargas, L., 2017. "Synchronization and 1/f signals in interacting small-world networks," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 418-425.
    8. Hollingshad, Nicholas W. & Svenkeson, Adam & West, Bruce J. & Grigolini, Paolo, 2013. "Time to consensus," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2302-2310.
    9. Laura E. Suárez & Agoston Mihalik & Filip Milisav & Kenji Marshall & Mingze Li & Petra E. Vértes & Guillaume Lajoie & Bratislav Misic, 2024. "Connectome-based reservoir computing with the conn2res toolbox," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    10. West, B.J. & Turalska, M., 2013. "Network of echoes," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 109-119.
    11. Stoop, Ruedi & Kanders, Karlis & Lorimer, Tom & Held, Jenny & Albert, Carlo, 2016. "Big data naturally rescaled," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 81-90.
    12. Rodrigo P. Rocha & Loren Koçillari & Samir Suweis & Michele Filippo De Grazia & Michel Thiebaut Schotten & Marco Zorzi & Maurizio Corbetta, 2022. "Recovery of neural dynamics criticality in personalized whole-brain models of stroke," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    13. Anna Barnes & Edward T Bullmore & John Suckling, 2009. "Endogenous Human Brain Dynamics Recover Slowly Following Cognitive Effort," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-6, August.
    14. Luković, Mirko & Vanni, Fabio & Svenkeson, Adam & Grigolini, Paolo, 2014. "Transmission of information at criticality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 430-438.
    15. Zueva Marina V, 2018. "A New Look at Stimulation Therapy with Complex-Structured Stimuli in Traumatic Brain Injuries," Global Journal of Addiction & Rehabilitation Medicine, Juniper Publishers Inc., vol. 5(1), pages 12-16, January.
    16. Werner, Gerhard, 2013. "Consciousness viewed in the framework of brain phase space dynamics, criticality, and the Renormalization Group," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 3-12.
    17. West, B.J. & Grigolini, P., 2010. "Habituation and 1/f-noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5706-5718.
    18. Christian Meisel & Alexander Storch & Susanne Hallmeyer-Elgner & Ed Bullmore & Thilo Gross, 2012. "Failure of Adaptive Self-Organized Criticality during Epileptic Seizure Attacks," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-8, January.
    19. Martinez-Saito, Mario, 2022. "Discrete scaling and criticality in a chain of adaptive excitable integrators," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    20. Woo, Junhyuk & Kim, Soon Ho & Kim, Hyeongmo & Han, Kyungreem, 2024. "Characterization of the neuronal and network dynamics of liquid state machines," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:55:y:2013:i:c:p:13-31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.