Journal
CHAOS
Volume 19, Issue 1, Pages -Publisher
AMER INST PHYSICS
DOI: 10.1063/1.3076396
Keywords
biophysics; neural nets; noise; stochastic processes
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Funding
- Key National Natural Science Foundation of China [50537030]
- National Natural Science Foundation of China [50707020]
- Postdoctoral Science Foundation of China [20070410756]
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The response of three coupled FitzHugh-Nagumo neurons, under high-frequency driving, to a subthreshold low-frequency signal is investigated. We show that an optimal amplitude of the high-frequency driving enhances the response of coupled excited neurons to a subthreshold low-frequency input, and the chemical synaptic coupling is more efficient than the well-known electrical coupling (gap junction), especially when the coupled neurons are near the canard regime, for local signal input, i.e., only one of the three neurons is subject to a low-frequency signal. The influence of additive noise and the interplay between vibrational and stochastic resonance are also analyzed.
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