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Recurrent Quantum Neural Network and its Applications

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The Emerging Physics of Consciousness

Part of the book series: The Frontiers Collection ((FRONTCOLL))

Summary

Although the biological body consists of many individual parts or agents, our experience is holistic. We suggest that collective response behavior is a key feature in intelligence. A nonlinear Schrödinger wave equation is used to model collective response behavior. It is shown that such a paradigm can naturally make a model more intelligent. This aspect has been demonstrated through an application — intelligent filtering — where complex signals are denoised without any a priori knowledge about either signal or noise. Such a paradigm has also helped us to model eye-tracking behavior. Experimental observations such as saccadic and smooth-pursuit eye-movement behavior have been successfully predicted by this model.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, Kanpur, 208016, UP, India

    Laxmidhar Behera

  2. Unit of Interdisciplinary Studies, Bar-IIan University, 52900, Ramat-Gan, Israel

    Indrani Kar & Avshalom C. Elitzur

Authors
  1. Laxmidhar Behera
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  2. Indrani Kar
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  3. Avshalom C. Elitzur
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Editor information

Editors and Affiliations

  1. Department of Physics, University of Alberta, T6G 2J1, Edmonton, AB, Canada

    Jack A. Tuszynski

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© 2006 Springer-Verlag Berlin Heidelberg

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Behera, L., Kar, I., Elitzur, A.C. (2006). Recurrent Quantum Neural Network and its Applications. In: Tuszynski, J.A. (eds) The Emerging Physics of Consciousness. The Frontiers Collection. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36723-3_9

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