Academia.eduAcademia.edu

Outline

Consciousness as Resonant Reflection

2025

https://doi.org/10.5281/ZENODO.17059111

Abstract

The Neuro-Fluidic, Photonic and Vibratory Model (NPVM) proposes that consciousness arises from a resonance-interpretation loop linking neural networks to a biophysical substrate comprising cerebrospinal fluid (CSF), structured interfacial water and weak biophotonic emissions. Rather than treating the brain as a purely electrochemical computer, NPVM argues that neural computation is embedded within and dynamically coupled to the brain's physical environment. CSF pressure waves, local vibrational modes and photon emissions collectively act as a reflective medium that modulates synaptic timing, gain and integration. This creates a global temporal scaffold, allowing distributed neural populations to achieve coherent, phase-locked firing patterns associated with conscious awareness. NPVM is designed to complement, not replace, existing theories like Global Workspace Theory (GWT) and Integrated Information Theory (IIT) by providing a biophysical mechanism for the stabilisation and broadcast of neural states. The model is testable through perturbation experiments-e.g., modulating CSF pressure, blocking mechanosensitive channels or disrupting photon emission-and predicts measurable changes in temporal binding, phase-locking value and information integration. If supported, NPVM would show that consciousness is not merely a property of isolated neurons but an emergent phenomenon of neural networks interacting with their reflective substrate.

References (19)

  1. Bothwell, S. W., Janigro, D., & Patabendige, A. D. (2019). Cerebrospinal fluid dynamics and intracranial pressure elevation in neurological diseases. Fluids and Barriers of the CNS, 16(1), 9. https://doi.org/ 10.1186/s12987-019-0129-6
  2. Patabendige, A. D., & Janigro, D. (2011). Anatomy and physiology of cerebrospinal fluid dynamics. In Neurobiology of Disease (pp. 43-60). Elsevier. https://doi.org/10.1016/B978-0-12-813997-4.00005-0
  3. Mehta, N. H., et al. (2022). Quantifying cerebrospinal fluid dynamics: A review of human neuroimaging contributions to CSF physiology and neurodegenerative disease. Neurobiology of Disease, 164, 105569. https://doi.org/10.1016/j.nbd.2022.105569
  4. Whitfield, M., & Boulton, M. (2016). Cerebrospinal fluid pressure dynamics. In Hydrocephalus: Clinical and Experimental Aspects (pp. 43-59). Springer. https://doi.org/10.1007/978-3-319-27250-4_3
  5. Patabendige, A. D., & Stoodley, M. A. (2022). Cerebrospinal fluid homeostasis and hydrodynamics: A review of facts and concepts.
  6. European Neurology, 85(4), 313-318. https://doi.org/10.1159/000523709
  7. Mechanosensitive Ion Channels Poole, K., et al. (2022). PIEZO channels and newcomers in the mammalian mechanosensitive ion channel family. Neuron, 110(6), 1011-1025. https://doi.org/10.1016/j.neuron.2022.05.010
  8. Young, M., Lewis, A. H., & Grandl, J. (2024). Mechanisms of mechanotransduction and physiological roles of PIEZO channels. Nature Reviews Molecular Cell Biology, 25(1), 1-16. https://doi.org/ 10.1038/s41580-024-00773-5
  9. Coste, B., et al. (2022). The biophysics of piezo1 and piezo2 mechanosensitive channels: A review. The Journal of General Physiology, 154(3), e202213044. https://doi.org/10.1085/jgp.202213044
  10. Brohawn, S. G., & MacKinnon, R. (2024). Tension activation of mechanosensitive two-pore domain K+ channels TRAAK, TREK-1, and TREK-2. Nature Communications, 15(1), 1-13. https://doi.org/ 10.1038/s41467-024-20611-7
  11. Wang, Y., et al. (2024). The role of mechanosensitive Piezo channels in chronic pain. Journal of Pain Research, 17, 1-12. https://doi.org/ 10.2147/JPR.S400000
  12. Biophoton Emissions in Neural Activity
  13. Popp, F. A., & Gu, Q. (2020). Electromagnetic radiation and biophoton emission in neuronal communication and neurodegenerative diseases. ScienceDirect. https://doi.org/10.1016/j.jneumeth.2020.108534
  14. Popp, F. A., & Gu, Q. (2010). Biophotons in neurons and brain. EMMIND. https://doi.org/10.1007/978-3-642-01859-5_2
  15. Popp, F. A., & Gu, Q. (2021). Intracellular simulated biophoton stimulation and transsynaptic signal transmission in hippocampal neural circuits. AIP Advances, 11(5), 055319. https://doi.org/ 10.1063/5.0047522
  16. Chen, Y.-C., et al. (2024). Entangled biphoton generation in the myelin sheath. Physical Review E, 110(1), 012701. https://doi.org/10.1103/ PhysRevE.110.012701
  17. Coupled Neural, Vascular and CSF Dynamics
  18. Xie, L., et al. (2019). Coupled electrophysiological, hemodynamic, and cerebrospinal fluid dynamics during non-rapid eye movement sleep. Science, 363(6423), 884-888. https://doi.org/10.1126/science.aav7603
  19. Patabendige, A. D., et al. (2021). Coupled neural, vascular, and cerebrospinal fluid dynamics in human sleep. Biological Psychiatry, 89(11), 1014-1023. https://doi.org/10.1016/j.biopsych.2020.11.020