Stochastic Resonance in a Small-World Network of Rulkov Neurons with Electrical and Chemical Synapses Under an Alternating Electric Field and Synaptic Transmission Delay.
- 1School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110159, China.
Abstract
Biological neural systems can use moderate noise to enhance their responses to weak stimuli, and this process is affected by synaptic transmission, network structure, transmission timing, and external electric fields. We constructed a Watts-Strogatz network of Rulkov neurons with electrical and chemical synapses, Gaussian noise, an alternating electric field, and synaptic transmission delay to examine stochastic resonance in response to a periodic signal that produced a weak noise-free population response at its fundamental frequency. All tested network configurations showed a maximum response at an intermediate noise intensity. Increasing the chemical-synapse probability increased the peak response in the initial synaptic-composition scan, whereas the effect of network rewiring varied with synaptic composition. After transmission delay was introduced, the field setting associated with a stronger response varied with synaptic composition and delay. Several delay-dependent response maxima shifted when the input period changed. These results characterize how synaptic composition, transmission delay, and external-field settings shaped the input-frequency response within the modeled neuronal network.
Related
- Shock wave transmission across solid-water interfaces in underwater electrical foil explosions
- Transmission and filtering of stochastic rhythms in bursty gene expression
- Stochastic resonance in adaptive dynamical networks
- Stochastic resonance in time-delayed bistable active particles
- Interaction order controls stochastic-resonance enhancement and redistribution in delayed multiplex neural networks
BibTeX
@article{yuan2026stochastic,
title = {{Stochastic Resonance in a Small-World Network of Rulkov Neurons with Electrical and Chemical Synapses Under an Alternating Electric Field and Synaptic Transmission Delay.}},
author = {Chunhua Yuan and Yunrong Jiang and Junfeng Wang and Xiangyu Li},
journal = {Biomimetics (Basel, Switzerland)},
year = {2026},
month = oct,
doi = {10.3390/biomimetics11100733},
url = {https://europepmc.org/article/MED/42930285},
note = {CC BY},
}
RIS
TY - JOUR
TI - Stochastic Resonance in a Small-World Network of Rulkov Neurons with Electrical and Chemical Synapses Under an Alternating Electric Field and Synaptic Transmission Delay.
AU - Chunhua Yuan
AU - Yunrong Jiang
AU - Junfeng Wang
AU - Xiangyu Li
PY - 2026
DA - 2026/10/14
JO - Biomimetics (Basel, Switzerland)
DO - 10.3390/biomimetics11100733
UR - https://europepmc.org/article/MED/42930285
AB - Biological neural systems can use moderate noise to enhance their responses to weak stimuli, and this process is affected by synaptic transmission, network structure, transmission timing, and external electric fields. We constructed a Watts-Strogatz network of Rulkov neurons with electrical and chemical synapses, Gaussian noise, an alternating electric field, and synaptic transmission delay to examine stochastic resonance in response to a periodic signal that produced a weak noise-free population response at its fundamental frequency. All tested network configurations showed a maximum response at an intermediate noise intensity. Increasing the chemical-synapse probability increased the peak response in the initial synaptic-composition scan, whereas the effect of network rewiring varied with synaptic composition. After transmission delay was introduced, the field setting associated with a stronger response varied with synaptic composition and delay. Several delay-dependent response maxima shifted when the input period changed. These results characterize how synaptic composition, transmission delay, and external-field settings shaped the input-frequency response within the modeled neuronal network.
SN - 2313-7673
ER -