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International Workshop on Biologically Motivated Computer Vision

BMCV 2000: Biologically Motivated Computer Vision pp 268–275Cite as

Time Delay Effects on Dynamic Patterns in a Coupled Neural Model

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1811))

Abstract

We investigate the effects of time delayed interactions in the network of neural oscillators. We perform the stability analysis in the vicinity of a synchronized state at vanishing time delay and present a related phase diagram. In the simulations it is shown that time delay induces various phenomena such as clustering where the system is spontaneously split into two phase locked groups, synchronization, and multistability. Time delay effects should be considered both in the natural and artificial neural systems whose information processing is based on the spatio-temporal dynamic patterns.

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Authors and Affiliations

  1. Telecommunications Basic Research Laboratories, Electronics and Telecommunications Research Institute, P.O. Box 106, Yusong-gu, Taejon, 305-600, Korea

    Seon Hee Park, Seunghwan Kim, Hyeon-Bong Pyo, Sooyeul Lee & Sang-Kyung Lee

Authors
  1. Seon Hee Park
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  2. Seunghwan Kim
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  3. Hyeon-Bong Pyo
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  4. Sooyeul Lee
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  5. Sang-Kyung Lee
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Editor information

Editors and Affiliations

  1. Center for Artificial Vision Research, Korea University, Anam-dong, Seongbuk-ku, Seoul, 136-701, Korea

    Seong-Whan Lee

  2. Max-Planck-Institute for Biological Cybernetics, Spemannstr. 38, 72076, Tübingen, Germany

    Heinrich H. Bülthoff

  3. Department of Brain and Cognitive Sciences Artificial Intelligence Laboratory, E25-218, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA, 02142, USA

    Tomaso Poggio

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© 2000 Springer-Verlag Berlin Heidelberg

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Park, S.H., Kim, S., Pyo, HB., Lee, S., Lee, SK. (2000). Time Delay Effects on Dynamic Patterns in a Coupled Neural Model. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_26

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  • DOI: https://doi.org/10.1007/3-540-45482-9_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67560-0

  • Online ISBN: 978-3-540-45482-3

  • eBook Packages: Springer Book Archive

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