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Radiophysics and Quantum Electronics

, Volume 37, Issue 8, pp 607–614 | Cite as

Modeling “preattention” and “attention” information processing by synchronization of neural activity

  • G. N. Borisyuk
  • R. M. Borisyuk
  • Ya. B. Kazanovich
Article

Abstract

Oscillatory neural-network preattention and attention models are examined. A two-layer network of Wilson-Cowan oscillators is used to show that two-frequency oscillations can appear in response to a compound stimulus. It is shown that these oscillations can be synchronized at the low frequency, which can be interpreted as feature binding. Partial synchronization is studied in a model of a network of phased oscillators with a central element. Formulas are given for approximation of the average frequency of the central oscillator for small and large networks. The results describe the effect of a distracting stimulus on attention focus.

Keywords

Information Processing Neural Activity Large Network Average Frequency Central Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Publishing Corporation 1995

Authors and Affiliations

  • G. N. Borisyuk
  • R. M. Borisyuk
  • Ya. B. Kazanovich

There are no affiliations available

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