Inverse scattering approach to improving pattern recognition

George Chapline; Chi-Yung Fu

doi:10.1117/12.609116

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19 May 2005 Inverse scattering approach to improving pattern recognition

George Chapline, Chi-Yung Fu

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Proceedings Volume 5781, Optics and Photonics in Global Homeland Security; (2005) https://doi.org/10.1117/12.609116
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

The Helmholtz machine provides what may be the best existing model for how the mammalian brain recognizes patterns. Based on the observation that the "wake-sleep" algorithm for training a Helmholtz machine is similar to the problem of finding the potential for a multi-channel Schrodinger equation, we propose that the construction of a Schrodinger potential using inverse scattering methods can serve as a model for how the mammalian brain learns to extract essential information from sensory data. In particular, inverse scattering theory provides a conceptual framework for imagining how one might use EEG and MEG observations of brain-waves together with sensory feedback to improve human learning and pattern recognition. Longer term, implementation of inverse scattering algorithms on a digital or optical computer could be a step towards mimicking the seamless information fusion of the mammalian brain.

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George Chapline and Chi-Yung Fu "Inverse scattering approach to improving pattern recognition", Proc. SPIE 5781, Optics and Photonics in Global Homeland Security, (19 May 2005); https://doi.org/10.1117/12.609116

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