Spiking firing patterns and their hardware implementation can assist us in exploring spike-
based applications. The classical Hodgkin–Huxley circuit can generate spiking firing …

The membrane potential of a neuron is mainly controlled by the gradient distribution of
electromagnetic field and concentration diversity between intracellular and extracellular …

Synaptic plasticity makes memristors particularly suitable for simulating the connection
synapses between neurons that describe magnetic induction coupling. By applying a …

The cellular neural network (CNN) is an implementable solution for fully connected neural
networks. Using nanoscale memristor to realize its nonlinear activation function can simplify …

In recent decades, Chua's attractor has been taken as the classical paradigm for chaos
demonstration, but it still presents some new results one after another. Hidden Chua's …

Neural networks with changeable synaptic weights usually exhibit more complex and
diverse dynamics than those with fixed synaptic weights. It was proved that the tri-neuron …

The functional neurons are basic building blocks of the nervous system and are responsible
for transmitting information between different parts of the body. However, it is less known …

Experimental data suggest that temporal neural activity regulates the synaptic weight, a
phenomenon known as activity-dependent synaptic plasticity. Thus far, a diversity of …

Both capacitor and charge-controlled memristor (CCM) can regulate the inner energy levels
during the release and accumulation of charges in these electronic components …

Memristors can be thought of as special connection synapses with internal states that
regulate synchronous behavior or energy propagation between neurons in a neural …