Spike-train responses of a pair of Hodgkin-Huxley neurons coupled by excitatory and inhibitory synapses and axons with time delay

TL;DR

This study investigates how coupled Hodgkin-Huxley neurons respond to different spike-train inputs, revealing complex behaviors like bifurcation, chaos, and synchronization, influenced by coupling strength, delay, and input patterns.

Contribution

It demonstrates the dynamic responses and memory-like switching behavior of coupled HH neurons under various synaptic couplings and delayed interactions, highlighting their complex output patterns.

Findings

Neurons exhibit bifurcation, metastability, and chaos with parameter changes.

Synchronization persists even in chaotic regimes.

Output interspike interval distribution depends on input and parameters.

Abstract

Numerical calculations have been made on the spike-train response of a pair of Hodgkin-Huxley (HH) neurons coupled by synapses and axons with time delay. The recurrent excitatory-excitatory, inhibitory-inhibitory, excitatory-inhibitory, and inhibitory-excitatory couplings are adopted. The coupled, excitable HH neurons are assumed to receive the two kinds of spike-train inputs: the transient input consisting of M impulses for the finite duration (M: integer) and the sequential input with the constant interspike interval (ISI). The HH neurons in all the kinds of couplings are found to play a role of memory storage with on-off switching. When the coupling strength and the time delay are changed, the distribution of the output ISI $T_{\rm o}$ shows bifurcation (multifurcation), metastability and chaotic behavior. The calculation of the time correlation shows that the synchronization between the two HH neurons is well preserved even when the distribution of their $T_{\rm o}$ is chaotic. The correlation dimension of the cycles of $T_{\rm o}$ is shown to depend not only on the model parameters but also on the type of input ISIs.