  The dynamics of memristive device in response to neuron-like signals and
coupling electronic neurons via memristive device has been investigated
theoretically and experimentally. The simplest experimental system consists of
electronic circuit based on the FitzHugh-Nagumo model and metal-oxide
memristive device. The hardware-software complex based on commercial data
acquisition system is implemented for the imitation of signal from presynaptic
neuron`s membrane and synaptic signal transmission between neurons. The main
advantage of our system is that it uses real time dynamics of memristive
device. Electrical response of memristive device shows its behavioral
flexibility that allows presenting a memristive device as an active synapse.
This means an internal adjustment of the parameters of memristive device that
leads to modulation of neuron-like signals. Physics-based dynamical model of
memristor is developed in MATLAB for numerical simulation of such a memristive
interface to describe and predict experimentally observed regularities of
synchronization of neuron-like oscillators. FitzHugh-Nagumo circuits time
series with a linear or stepwise increase in the signal amplitude are used to
study the memristor response and coupling of neuron-like oscillators taking
into account the stochasticity of memristor model to compare the numerical and
experimental data. The observed forced synchronization modes characterize the
dynamic complexity of the memristive device, which requires further description
using high-order dynamical models. The developed memristive interface will
provide high efficiency in the imitation of the synaptic connection due to its
stochastic nature and can be used to increase the flexibility of neuronal
connections for neuroprosthetic challenges.
