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Scientific Advances on Consciousness

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Brain Informatics (BI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10654))

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Abstract

The article summarizes scientific advances on consciousness up to the present (the year 2017). The remarkable milestones of experimental research on consciousness, in particular those in response to some philosophic meanings, are selected. These chosen achievements are within more than half centuries and narrowed on five fields: (1) modeling consciousness, (2) analysis on consciousness quantum indeterminacy, (3) finding core-consciousness-function cells, (4) brain-machine interface, (5) brain research plans on brain information access and analysis with large-scale. The main conclusions cover that (1) Piaget consciousness model (PCM), which asserts that consciousness is the homomorphism between functional cells and their mapped objects in respective laws of motion, is a universal frame defining the consciousness in philosophic, scientific ways; (2) Receptive Field, Place Cell and Grid Cell, and some functional brain cells which specially make decisions are PCM instances; (3) consciousness has not been confirmed to be related to quantum states, but some tentative plans to be confirmed have been suggested; (4) brain-machine interface shows PCM too by physical or artificial ways. Meanwhile, some important data, analog or relevant technologies about the above achievements are described, and philosophic explanations are tried to be given.

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References

  1. Kennedy, D.: What is the biological basis of consciousness? Science 309(5731), 1–204 (2005)

    Google Scholar 

  2. Descartes, R.: Minds and bodies as distinct substances. In: Heil, J. (ed.) Philosophy of Mind, pp. 298–320. Oxford University Press, Oxford (2004)

    Google Scholar 

  3. Turing, A.M.: Intelligent Machinery. Mechanical Intelligence. Collected Works of A.M. Turing, pp. 107–128. North-Holland Press, Amsterdam, London, New York, Tokyo, Holland (1992)

    Google Scholar 

  4. Turing, A.M.: Intelligent Machinery. Mechanical Intelligence. Collected Works of A.M. Turing, pp. 133–160. North-Holland Press, Amsterdam, London, New York, Tokyo, Holland (1992)

    Google Scholar 

  5. Husserl, E.: Logische Untersuchungen. Edmund Husserl Gesammelte Werke (Husserliana). Band XIX/1, 2. Martinus Nijhoff Publishers (1984)

    Google Scholar 

  6. Takeno, J.: Creation of a Conscious Robot. Mirror Image Cognition and Self-awareness, p. 64. Pan Stanford Publishing Pte. Ltd., Singapore (2013)

    Google Scholar 

  7. Farber, I., Churchland, P.S.: Consciousness and the neurosciences: philosophical and theoretical issues. In: The Cognitive Neurosciences. The MIT Press, Cambridge (1995)

    Google Scholar 

  8. Baars, B.J., Edelman, D.B.: Consciousness, biology and quantum hypotheses. Phys. Life Rev. 9(3), 285–294 (2012)

    Article  Google Scholar 

  9. Piaget, J.: Le Structuralisme. Presss Universites de France, Paris (1979)

    MATH  Google Scholar 

  10. Piaget, J.: Biology and Knowledge. The University of Chicago Press, Chicago (1971)

    Google Scholar 

  11. Zhang, Y.: The mathematic model of consciousness. In: Proceedings of Second Asia International Conference on Modeling and Simulation, pp. 574–578. IEEE Press, Piscataway (2008)

    Google Scholar 

  12. Kant, I.: Critique of Pure Reason, Translated by Particia Litcher. Hackett Publishing Company, Inc., Cambridge (1996)

    Google Scholar 

  13. Hubel, D., Wiesel, T.: Receptive fields of single neurones in the cat’s striate cortex. J. Physiol. 148, 574–591 (1959)

    Article  Google Scholar 

  14. McCulloch, W., Pitt, W.: A logical calculus of ideas immanent in nervous activity. Bull. Math. Biophys. 5(1–2), 99–115 (1943)

    MATH  MathSciNet  Google Scholar 

  15. Rumelhart, D.E., Mcclelland, J.L.: Parallel Distributed Processing: Exploration in the Microstructure of Cognition, vol. 1, 2. MIT Press, Cambridge (1986)

    Google Scholar 

  16. Hinton, G.E.: Learning multiple layers of representation. Trends Cogn. Sci. 11(10), 428–434 (2007)

    Article  Google Scholar 

  17. Hinton, G.E., Salakhutdinov, R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 428–434 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  18. Goldberg, D.E., Holland, J.H.: Genetic algorithms and machine learning. Mach. Learn. 3(2), 95–99 (1988)

    Article  Google Scholar 

  19. Silver, D., et al.: Mastering the game of go with deep neural networks and tree search. Nature 529(7587), 484–489 (2016)

    Article  Google Scholar 

  20. Williamson, J.: A dynamic interaction between machine learning and the philosophy of science. Mind Mach. 14(4), 539–549 (2004)

    Article  Google Scholar 

  21. Okeefe, J., Nadel, L.: The Hippocampus as a Cognitive Map. Oxford University Press, Oxford (1978)

    Google Scholar 

  22. Okeefe, J.: A review of the hippocampal place cells. Prog. Neurobiol. 13(4), 419–439 (1979)

    Article  Google Scholar 

  23. Best, P.J., White, A.M., Mina, A.A.: Spatial processing in the brain: the activity of hippocampal place cells. Annu. Rev. Neurosci. 24(1), 459–486 (2001)

    Article  Google Scholar 

  24. Moser, I., Kropff, E., Moser, M.: Place cells, grid cells, and the brain’s spatial representation system. Annu. Rev. Neurosci. 31(1), 69–89 (2008)

    Article  Google Scholar 

  25. Heekeren, H.R., et al.: A general mechanism for perceptual decision-making in the human brain. Nature 431, 859–862 (2004)

    Article  Google Scholar 

  26. Zhang, Y.: The Summation of the research on physical features of brain mapping logic in fMRI and the excavation of the relevant philosophical significance. J. Med. Philos. 28(11), 27–29, 55 (2008)

    Google Scholar 

  27. Johnsonlaird, P.N.: Mental models and deduction. Trends Cogn. Sci. 5(10), 434–442 (2001)

    Article  Google Scholar 

  28. Knauff, M., et al.: Spatial imagery in deductive reasoning: a functional MRI study. Cogn. Brain Res. 13(2), 203–212 (2012)

    Article  Google Scholar 

  29. Kosslyn, S.M.: Image and Brain: The Resolution of the Imagery Debate. MIT Press, Cambridge (1994)

    Google Scholar 

  30. Goel, V., et al.: Dissociation of mechanisms underlying syllogistic reasoning. NeuroImage 12(5), 504–514 (2000)

    Article  Google Scholar 

  31. Goel, V., Dolan, R.J.: Functional neuroanatomy of three-term relational reasoning. Neuropsychologia 39(9), 901–909 (2001)

    Article  Google Scholar 

  32. Eccles, J.C.: The Neurophysiological Basis of Mind. The Principles of Neurophysiology. Oxford University Press, Oxford (1953)

    Google Scholar 

  33. Clarke, P.G.H.: Neuroscience, quantum indeterminism and the Cartesian soul. Brain Cogn. 84(1), 109–117 (2014)

    Article  Google Scholar 

  34. Sudhof, T.C.: The synaptic vesicle cycle. Annu. Rev. Neurosci. 27(1), 509–547 (2004)

    Article  Google Scholar 

  35. Penrose, R., Hameroff, S.: Consciousness in the universe: a review of the ‘Orch OR’ theory. Phys. Life Rev. 11(1), 39–78 (2014)

    Article  Google Scholar 

  36. Fisher, M.P.A.: Quantum cognition: the possibility of processing with nuclear spins in the brain. Ann. Phys. 362, 593–602 (2015)

    Article  MATH  MathSciNet  Google Scholar 

  37. Gao, S.: A quantum theory of consciousness. Mind. Mach. 18(1), 39–52 (2008)

    Article  Google Scholar 

  38. Kay, K.N., Naselaris, T., Prenger, R.J., Gallant, J.L.: Identifying natural images from human brain activity. Nature 452(7185), 352–355 (2008)

    Article  Google Scholar 

  39. Velliste, M., Perel, S., Spalding, M.C., Whitford, A.S., Schwartz, A.B.: Cortical control of a prosthetic arm for self-feeding. Nature 453(7198), 1098–1101 (2008)

    Article  Google Scholar 

  40. Kalaska, J.F.: Neuroscience: brain control of a helping hand. Nature 453(7198), 994–995 (2008)

    Article  Google Scholar 

  41. Grau, C., et al.: Conscious brain-to-brain communication in humans using non-invasive technologies. PLOS ONE 9(8), e105225 (2014). PMID: 25137064

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Capital Normal University, Beijing, 100048, China

    Yinsheng Zhang

  2. Institute of Scientific and Technical Information of China, Beijing, 100038, China

    Yinsheng Zhang

Authors
  1. Yinsheng Zhang
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Corresponding author

Correspondence to Yinsheng Zhang .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Yi Zeng

  2. Beijing Normal University, Beijing, China

    Yong He

  3. KTH Royal Institute of Technology and Karolinska Institute, Stockholm, Sweden

    Jeanette Hellgren Kotaleski

  4. University of California, San Diego, San Diego, California, USA

    Maryann Martone

  5. Chinese Academy of Sciences, Beijing, China

    Bo Xu

  6. Allen Institute for Brain Science, Seattle, Washington, USA

    Hanchuan Peng

  7. Wuhan National Lab Optoelectronics, Huazhong University of Science and Technology, Wuhan, China

    Qingming Luo

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Zhang, Y. (2017). Scientific Advances on Consciousness. In: Zeng, Y., et al. Brain Informatics. BI 2017. Lecture Notes in Computer Science(), vol 10654. Springer, Cham. https://doi.org/10.1007/978-3-319-70772-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-70772-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70771-6

  • Online ISBN: 978-3-319-70772-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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