Locally excitatory globally inhibitory oscillator networks

  title={Locally excitatory globally inhibitory oscillator networks},
  author={DeLiang Wang and David Terman},
  journal={IEEE Transactions on Neural Networks},
A novel class of locally excitatory, globally inhibitory oscillator networks (LEGION) is proposed and investigated. The model of each oscillator corresponds to a standard relaxation oscillator with two time scales. In the network, an oscillator jumping up to its active phase rapidly recruits the oscillators stimulated by the same pattern, while preventing other oscillators from jumping up. Computer simulations demonstrate that the network rapidly achieves both synchronization within blocks of… CONTINUE READING
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Modeling global synchrony in the visual cortex by locally coupled neural oscillators,

  • D. L. Wang
  • in Proc. 15th Ann. Con5 Cognit. Sei. Soc.,
  • 1993

Global competition and local cooperation in a network of neural oscillators,

  • D. Terman, D. L. Wang
  • USA. vol
  • 1991

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