Journal
COGNITIVE NEURODYNAMICS
Volume 13, Issue 3, Pages 303-312Publisher
SPRINGER
DOI: 10.1007/s11571-018-09518-5
Keywords
Noise-induced synchronization; Stochastic resonance; Neural networks; Conductance-based model; Spiking neurons
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Funding
- JSPS KAKENHI [JP16K05869]
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Random pulses contribute to stochastic resonance in neuron models, whereas common random pulses cause stochastic-synchronized excitation in uncoupled neuron models. We studied concurrent phenomena contributing to phase synchronization and stochastic resonance following induction by a weak common random pulse in uncoupled non-identical Hodgkin-Huxley type neuron models. The common random pulse was selected from a gamma distribution and the degree of synchronization depended on the corresponding shape parameter. Specifically, a low shape parameter of the weak random pulse induced well-synchronized spiking in uncoupled neuron models, whereas a high shape parameter of the weak random pulse or a weak periodic pulse caused low degrees of synchronization. These were improved by concurrent inputs of periodic and random pulses with high shape parameters. Finally, the output pulse was synchronized with the periodic pulse, and the common random pulse revealed periodic responses in the present neuron models.
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