Neurons contain a large number of ions inside and outside the cell, and the transmembrane
currents formed by the movement of these ions cause membrane potential fluctuations and …

Both time delay and coupling form are the most important factors in neural networks. The
properties of firing rate oscillation and cluster synchronization induced by time delay are …

生物神经元可感知多种外界刺激信号, 这些信号可被转化为等效的电流来驱动神经元. 因此,
神经元的膜电位可通过外刺激调控呈现各类放电模式. 实际上, 可靠的神经元模型应考虑内在的 …

Dynamics analysis of neuronal models has been attracting more attention, which may offer a
valuable perspective for studying neurons. To address this issue, the improved FitzHugh …

Chimera state in neuronal network means the coexistence of coherent and incoherent firing
patterns. In this paper, the FitzHugh-Nagumo (FHN) neuronal model is employed to …

Biological neurons exposed to an external electric field can induce polarization and charge
fluctuation. Indeed, the exchange of calcium, sodium and potassium ions across the cell …

Smart nonlinear circuits can be tamed to reproduce the main dynamical properties in neural
activities and thus neural circuits are built to estimate the occurrence of multiple modes in …

As a circuit component with memory function, memristors have significant nonlinear physical
characteristics and are widely used in the study of chaotic circuits and artificial neural …

The patterns of discharge activity are closely associated with the physiological manifestation
of neurons, and hence, it is particularly significant to understand the dynamic behavior of the …

Chaotic systems can be used for secure communication and image encryption by applying a
variety of encryption algorithms. While most of the low-dimensional chaotic systems and …