Review Article
Volume 13 Issue 4 - 2021
Mathematical Modeling of a Proposed Way of Looking at Cerebral Transmission of Information Part II
Luis A Pando-Orellana*
Department of Clinical Research, CPALC, Mexico
*Corresponding Author: Luis A Pando-Orellana, Department of Clinical Research, CPALC, Mexico.
Received: February 11, 2021; Published: March 30, 2021


The idea of developing mathematical models [1] or its basic principles and proposition of a mathematical language of superior brain functions and its connections, expresses the need of transdisciplinary research in health sciences particularly physical concepts and laws and its mathematical presumptions.

Furthermore, the possibility of integrating superior brain functions within mathematical models that might predict comparative neuropsychiatric tendencies.

The question is how does several theories apply to the brain, such as the laws of thermodynamics, the relativity theory and Space, time and structure revision, applied to the brain.

As such vectorial fields, tetradimensional conception of neurons and its vectorial and counter- vectorial forces. This is an introductory thesis that follows a first approach [1].

There is very little bibliography and it is referred to neural networks with the application of logical mathematics and lineal Algebra to the subject and of course a complex one.

This models have been applied to the economical field with success for example in the game theory [2].


Keywords: Higher Cortical Functions; Mathematical Model; Neurons; Space-Time-Structure; Vectors; TENSORS


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  3. Wada J. “Kindling”. Raven Press (1976): 1-39.
  4. Schroedinger E. Space, time and Structure.
  5. Gilbert CH. “Mechanisms of processing in primary visual cortex”. In: E. Martínez-Uriegas (Ed.), The Cuernavaca workshop on vision. UNAM, Cuernavaca (1987): 3-4.
  6. Popp F-A., et al. “Electromagnetic bioinformation”. Proceedings of Marburg symposium, Germany (1979): 55-107.
  7. Klein S. “Sillabus for Cuernavaca Workshop on vision”. In: E. Martínez-Uriegas (Ed.), The Cuernavaca workshop on vision. UNAM, Cuernavaca (1987): 23-24.
  8. Livingstone M. “Segregation of form, color, movement and depth processing: Anatomy, physiology, psychophysics, art and illusion”. In: E. Cuernavaca (1987): 11-13.
  9. Schiller PH. “The on and off channels of the visual system”. In: E. Martínez-Uriegas (Ed.), The Cuernavaca workshop on vision. UNAM, Cuernavaca (1987): 26.
  10. Babloyantz A. “Self-organization phenomena resulting from cell-cell contact”. Journal of Theoretical Biology 68 (1977): 551-561.
  11. Bergen JR. “Early extraction of motion and texture information in human and machine vision”. In: E. Martínez-Uriegas (Ed.), The Cuernavaca workshop on vision. UNAM, Cuernavaca (1987): 38-39.
  12. Fischer H. “Photons as transmitter for intra-and intercellular biological and biochemical communication. The construction of a Hypothesis”. In: F. A. Popp, G. Becker, H. Konig y W. Peschka (Eds.), Electromagnetic bio-information. Urgan & Schawarzenberg, Munich, Viena, Baltimo (1979): 175-180.
  13. Marroquin JL. “A probabilistic approach to computational vision”. In: E. Martínez-Uriegas (Ed.), The Cuernavaca workshop on vision. UNAM, Cuernavaca (1987): 25.
  14. Pentland AP. “Recovering 3-D description of snape using massively parallel networks”. In: E. Martínez-Uriegas (Ed.), The Cuernavaca workshop on vision. UNAM, Cuernavaca (1987): 10.
Citation: Luis A Pando-Orellana. “Mathematical Modeling of a Proposed Way of Looking at Cerebral Transmission of Information Part II”. EC Neurology 13.4 (2021): 50-58.

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