Abstract The biological Hodgkin–Huxley model and its simplified versions have confirmed its
effectiveness for recognizing and understanding the electrical activities in neurons, and …

This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …

As key components of the human brain's neural network, synapses and neurons are
important processing units that enable highly complex neuromorphic systems. Spiking …

The electric activities of neurons are dependent on the complex electrophysiological
condition in neuronal system, and it indicates that the complex distribution of …

In the presence of external stimuli and electromagnetic radiation (EMR), biological neurons
can exhibit different firing patterns and switch to appropriate firing modes because of …

Abstract The three-variable Hindmarsh–Rose model is improved to describe the dynamical
behaviors of neuronal activities with electromagnetic induction being considered, and the …

Based on an improved neuron model with electromagnetic induction being considered, the
phase synchronization approaching is investigated on a four-variable Hindmarsh–Rose …

Biological neurons are capable of encoding a variety of stimuli, and the synaptic plasticity
can be enhanced for activating appropriate firing modes in the neural activities. Artificial …

The nervous system is made of a large number of neurons. Time-varying balance between
excitatory and inhibitory neurons is important to activate appropriate modes of electrical …

Researching the discharge patterns of neurons under electromagnetic induction is of great
practical significance for understanding the complex nervous system. In this paper, the …