Skip to main content

Consciousness, Functional Geometry and Internal Representation

  • Chapter
  • First Online:
Book cover Interdisciplinary Perspectives on Consciousness and the Self

Abstract

The geometrical interpretation of brain function by Pellionisz and Llinás and subsequent developments by Roy and Llinás help us to understand brain function in an integrated way. It was originally based on the assumption that the relationship between the brain and the external world is determined by the ability of the central nervous system (CNS) to construct an internal model of the world accomplished through the interactive relationship between sensory and motor expression. In this model the evolutionary realm provides the backbone for the development of an internal functional geometry. The approach henceforth named tensor network theory is sufficiently rich to allow specific computational modelling and addressed the issue of prediction, based on Taylor series expansion properties of the system, at the neuronal level, as a basic property of brain function. It was actually proposed that the evolutionary realm is the backbone for the development of an internal functional space that, while being purely representational, can interact successfully with the totally different world of the so-called external reality. Representationalism and realism have been widely discussed in Indian philosophy including Buddhist framework.

The representations of the internal world and its connection to consciousness associated to functional geometry or sense-dependent geometry will be discussed in this work. Then the epistemological issues will be analysed and compared with those discussed in Indian philosophy. The introduction of functional geometry raises a profound question whether functional geometry is necessary only for the description of the internal world or both internal and external world. The present author along with Ralph Abraham constructed a continuous space–time geometry starting from a discrete evolving cellular network at the smallest level of the physical universe, i.e. at the level of Planck scale. The imminent question is to find a relationship between the functional geometry associated to CNS and at the macroscopic level in the outside world. This will shed new light on the epistemological issues related to nature of consciousness and the validity of physical laws.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abraham, R., & Roy, S. (2010). Demystifying the Akasha: Consciousness and the quantum vacuum. Rhinebeck, NY: Epigraph Books.

    Google Scholar 

  • Balslev, A. N. (1983). A study of time in Indian philosophy. Delhi: Motilal Banarsidass Publishers Pvt. Ltd.

    Google Scholar 

  • Bandyopadhaya, N. (1959). The Buddhist theory of relation between Pramaa and Pramaana. Indian Journal of Philosophy, 7, 41–78.

    Google Scholar 

  • Kazantsev, V. B. (2003). Olivo-Cerebellar cluster based universal control system. Proceedings of the National Academy of Sciences of the United States of America, 100, 13064–13068.

    Google Scholar 

  • Kazantsev, V. B., et al. (2004). Self-referential phase reset based on inferior olive oscillator dynamics. Proceedings of the National Academy of Sciences of the United States of America, 101, 18183–18188.

    Article  Google Scholar 

  • Leznik, E., Makarenko, V., & Llinás, R. (2002). Electrotonically, mediated oscillatory patterns in neuronal ensembles: An in vitro voltage-dependent dye imaging study in the inferior olive. Journal of Neuroscience, 22(7), 2804–2815.

    Google Scholar 

  • Llinás, R. (2002). I of the vortex: From Neurons to Self, The MIT press, Cambridge Massachusetts.

    Google Scholar 

  • Llinás, R., & Roy, S. (2009). The ‘prediction imperative’ as the basis for self-awareness. Philosophical Transaction of the Royal Society B, 364, 1301–1307.

    Article  Google Scholar 

  • Mach, E. (1959). The analysis of sensations. New York: Dover Publications Inc.

    Google Scholar 

  • Makarenko, V., & Llinás, R. (1998). Experimentally determined chaotic phase synchronization in a neuronal system. Proceedings of the National Academy of Sciences of the United States of America, 95, 15747–15752.

    Article  Google Scholar 

  • Paul, W. (2000). The reflexive nature of awareness: A Tibetan Madhhyamaka defence. Delhi: Motilal Banarsidass Publishers Pvt. Ltd.

    Google Scholar 

  • Pellionisz, A., & Llinás, R. (1979). Brain modeling by tensor network theory and computer simulation. The cerebellum: Distributed processor for predictive coordination. Neuroscience, 4, 323–348.

    Article  Google Scholar 

  • Pellionisz, A., & Llinás, R. (1982). Space-time representation in the brain: The cerebellum as a predictive space-time metric tensor. Neuroscience, 7, 2949–2970.

    Article  Google Scholar 

  • Pellionisz, A., & Llinás, R. (1985). Tensor network theory of the metaorganization of functional geometries in the CNS. Neuroscience, 16, 245–273.

    Article  Google Scholar 

  • Ridderbos Katina. (2002). Time. Cambridge: Cambridge University Press.

    Google Scholar 

  • Roy, S. (2003). Planck scale physics, pregeometry and the notion of time. In R. Buccheri, M. Saniga, & W. M. Stucky (Eds.), The nature of time: Geometry, physics and perception. Dordrecht/Boston/London: Kluwer Academic Publishers.

    Google Scholar 

  • Roy, S., & Llinás, R. (2008). Dynamic geometry, brain function modeling, and consciousness. In R. Banerjee & B. K. Chakrabarti (Eds.), Progress in brain research (Vol. 168, pp. 133–144). New York: Elsevier.

    Google Scholar 

  • Roy, S., & Llinas, R. (2012). Metric tensor as degree of coherence in the dynamical organization of the central nervous system. In M. Deza, M. Petitjean, & K. Markov (Eds.), Mathematics of distances and applications (pp. 174–180). Sofia: The Scientific Council of the Institute of Information Theories and Applications FOI ITHEA.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sisir Roy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this chapter

Cite this chapter

Roy, S. (2014). Consciousness, Functional Geometry and Internal Representation. In: Menon, S., Sinha, A., Sreekantan, B. (eds) Interdisciplinary Perspectives on Consciousness and the Self. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1587-5_22

Download citation

Publish with us

Policies and ethics