TY - JOUR
T1 - Multiple firing coherence resonances in excitatory and inhibitory coupled neurons
AU - Wang, Qingyun
AU - Zhang, Honghui
AU - Perc, Matjaž
AU - Chen, Guanrong
PY - 2012/10
Y1 - 2012/10
N2 - The impact of inhibitory and excitatory synapses in delay-coupled Hodgkin-Huxley neurons that are driven by noise is studied. If both synaptic types are used for coupling, appropriately tuned delays in the inhibition feedback induce multiple firing coherence resonances at sufficiently strong coupling strengths, thus giving rise to tongues of coherency in the corresponding delay-strength parameter plane. If only inhibitory synapses are used, however, appropriately tuned delays also give rise to multiresonant responses, yet the successive delays warranting an optimal coherence of excitations obey different relations with regards to the inherent time scales of neuronal dynamics. This leads to denser coherence resonance patterns in the delay-strength parameter plane. The robustness of these findings to the introduction of delay in the excitatory feedback, to noise, and to the number of coupled neurons is examined. Mechanisms underlying our observations are revealed, and it is suggested that the regularity of spiking across neuronal networks can be optimized in an unexpectedly rich variety of ways, depending on the type of coupling and the duration of delays.
AB - The impact of inhibitory and excitatory synapses in delay-coupled Hodgkin-Huxley neurons that are driven by noise is studied. If both synaptic types are used for coupling, appropriately tuned delays in the inhibition feedback induce multiple firing coherence resonances at sufficiently strong coupling strengths, thus giving rise to tongues of coherency in the corresponding delay-strength parameter plane. If only inhibitory synapses are used, however, appropriately tuned delays also give rise to multiresonant responses, yet the successive delays warranting an optimal coherence of excitations obey different relations with regards to the inherent time scales of neuronal dynamics. This leads to denser coherence resonance patterns in the delay-strength parameter plane. The robustness of these findings to the introduction of delay in the excitatory feedback, to noise, and to the number of coupled neurons is examined. Mechanisms underlying our observations are revealed, and it is suggested that the regularity of spiking across neuronal networks can be optimized in an unexpectedly rich variety of ways, depending on the type of coupling and the duration of delays.
KW - Coherence resonance
KW - Information transmission delay
KW - Neuronal dynamics
KW - Regularity of spiking
KW - Synaptic coupling
KW - Time scales
UR - https://www.scopus.com/pages/publications/84862823379
U2 - 10.1016/j.cnsns.2012.02.019
DO - 10.1016/j.cnsns.2012.02.019
M3 - 文章
AN - SCOPUS:84862823379
SN - 1007-5704
VL - 17
SP - 3979
EP - 3988
JO - Communications in Nonlinear Science and Numerical Simulation
JF - Communications in Nonlinear Science and Numerical Simulation
IS - 10
ER -