Abstract
This paper shows that neural-net based machines may be designed to mimic the consciousness-sensations generated by the human brain. It is shown that the standard definition of biological modalities of the tactile and visual receptors, coupled with the law of specific nerve energy, leads to a fundamental relationship that relates human subjective experiences, or consciousness, to explicit neuronal activity. Such a relationship is a giant leap forward in the study of consciousness since it converts the parameters of consciousness, which have never been amenable to mathematical calculations, into mathematically calculable functions.
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References
All text books in Neural Science and Medical physiology. Some examples are: Kandel, E.R., Schwarts, J.H., Jessell, T.M. (eds.) (1991) Principles of Neural Science. Norwalk Conn; Haines, D.E. (ed.) (2002) Fundamental Neuroscience 2nd ed. Churchill Livingston: Philadelphia PA; Guyton, A.C. (1991). Textbook of Medical Physiology. Philadelphia: W.B. Saunders Co.
Rosen A., Rosen D.B.: (2006a). The Design of a Sensation-generating Mechanism (SgM) in the Brain: A first step towards a quantitative definition of consciousness. submitted for publication in the ASSC- Consciousness and Cognition Journal. (See ASSC-e-archive and available for viewing at www.mcon.org); (2006b). A Neural Network Model of the Connectivity of the Biological Somatic Sensors. IJCNN: Proceedings of the IEEE-WCCI. July 16-21, 2006 Vancouver Canada; (2006c). An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Proceedings of the ICONIP- 2006 Hong Kong; King, et al. (eds.) LNCS Part 1 pp.105–116. Springer, Heidelberg
Rosen A., Rosen D.B.: (2007a) A neural Net Based Robotic Optical Circuit that Generates 3D-visual Images. IEEE-xplore proceedings of the IJCNN-Orlando 2007; (2007b) A Robotic Neural Net Based Visual sensory Motor Control system that reverse engineers the Motor Control functions of the Human Brain. IEEE-Xplore IJCNN-Orlando 2007; (2007c). A Neural Net Based Robotic Optical Circuit that Generates 3D-visual Images: Reverse engineering the neurophysiology of the modalities of the retinal receptors. To be published in the Neural Network Journal (See preview at www.mcon.org )
Fechner, G.: (1860). Elements of Psychophysics, vol. 1. Howes, D.H., Boring, E.G. (eds.), HE Adler (trans) New York: Holt, Rinehart and Winston; Weber, E.H. (1846). Der Tastsinn und das Gemeingefühl. In: Wagner, R. (ed.) Handwörterbuch der Physiologie, vol. 3, Part 2 pp. 481–588, 709–728. Vieweg, Braunschweig
Charles, W.: Contributions to the physiology of vision. On some remarkable and hitherto un-observed phenomena of binocular vision. The Philosophical Magazine 3, 241–267, 504–523 (1852)
Metzinger, T. (ed.): Neural correlates of Consciousness. MIT Press, Cambridge (2000); Chalmers, D.J.: What is a Neural Correlate of Consciousness (2002); In: Metzinger, pp. 13–39 (2000); Crick F., Koch, C.: A framework for Consciousness. Nat. Neurosci. 6, 119–126 (2003)
Turing, A.M.: Computing Machinery and Intelligence. Mind 59, 433–460 (1950)
Rosen, A., Rosen, D.B.: The Design of the Neuronal Correlate of Emotions: A hedonic Motivational system in the Brain. MCTJ-android Engineering 1(1), 74–111 (2005a); The Design of the NCC-circuit for Audition and sound genreation: Comprehension, verbalization, conceptualization and declarative Memory. MCTJ-android Engineering 1(1), 112–134 (2005b)
James, W.: What is an Emotion? Mind 9, 188–205 (1884)
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Rosen, A., Rosen, D.B. (2009). Neural Networks That Mimic the Human Brain: Turing Machines versus Machines That Generate Conscious Sensations. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_97
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DOI: https://doi.org/10.1007/978-3-642-02490-0_97
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