Heterogeneous network dynamics in an excitatory-inhibitory network model by distinct intrinsic mechanisms in the fast spiking interneurons

Abstract

Fast spiking interneurons (FSINs) have an important role in neuronal network dynamics. Although plasticity of synaptic properties is known to affect network synchrony, the role of plasticity of FSINs’ intrinsic excitability on network dynamics remain elusive. Using computational approaches in an excitatory-FSIN model network (EI) based on previously established hippocampal neuronal models we show that altered FSIN intrinsic excitability robustly affects the coherence and frequency of network firing monotonically in the connected excitatory network. Surprisingly, the effect of FSIN excitability was dependent on the mechanisms associated with changes in intrinsic excitability rather than on the direction of the change. Decreasing FSIN excitability by decreasing the membrane specific resistance (Rm), increasing peak HCN conductance (gihbar) increased the excitatory network coherence while increased peak delayed potassium conductance (gKDbar) decreased the coherence. However, the perturbations affected the excitatory network frequency in a similar manner. Further, in an isolated FSIN all-to-all network (II), decreasing FSIN excitability caused significant decrease in the network steady-state frequency due to any of the alterations. However, II network coherence remained unaltered with change in FSIN Rm but increased with higher gihbar and lower gKDbar. Interestingly, decreased FSIN Rin could partially rescue the decreasing EI network coherence with increasing gKDbar. The phenomenon of FSIN Rm, gihbar and gKDbar dependent EI network coherence alterations was robust for different proportions of plastic FSINs. Our results indicate that plasticity of intrinsic excitability in FSINs can regulate network dynamics and thus serve as an important network strategy during different physiological states.