Real brains exist with neural networks consisting of heterogeneous neuronal connections.
However, there have been many studies on memristive homogeneous neural networks and …

Understanding the neuron behavior is essential for advancing power-efficient neuromorphic
computing. This paper represents a novel model of the spiking neuron obtained by …

A simple neuron containing one capacitive variable can mimic the dynamical property of
electrical activities in a biological neuron. Functional enhancement and activation of …

This paper studies the dynamics of a thermosensitive neuronal network with delayed
chemical synapses under electromagnetic induction. The stability and different bifurcations …

Memristor-coupled nonlinear circuits can be controlled to present similar firing patterns as
biological neurons, and the memristive term and magnetic flux variable in neuron models …

Neuron as a charged body, it is easily disturbed by the external electromagnetic field, which
changes the electrical activities of the neurons. In fact, the interference of external electric or …

The appropriate firing modes for a neuron can be excited under the external stimulus. From
the viewpoint of physical, the intrinsic biophysical effects, functional encoding, and the …

The ion channel in neurons is the basic component of signal transmission in the nervous
system. The ion channel has important effects on the potential of neuron release and …