The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …

Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

Connecting memristors into any neural circuit can enhance its potential controllability under
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …

Synapses can regulate the energy balance in the neural network. In this work, a two-neuron
network is established by coupling two Morris-Lecar neurons using a memristor synapse …

Local activity is regarded as the origin of complexity. In this study, a locally active memristor
with coexisting two stable pinched hysteresis loops and two local activity regions is …

Lyapunov function provides feasible estimation and prediction of nonlinear system stability,
and useful guidance for adaptive control in chaos and synchronization approach. In case of …

Static distribution of intracellular and extracellular ions can induce the spatial distribution of
electric field in the cell, while stochastic diffusion and propagation of ions can generate …

A piezoelectric ceramic can convert external mechanical force and vibration into electric
signals by producing distinct output voltage when certain deformation is induced. As a result …

Both electric and chemical synapses play an important role in receiving and propagating
signals, and thus an isolated neuron and neurons in networks can be activated to trigger …

Reliable neural circuit can address the field energy in exact form and equivalent Hamilton
energy is obtained for theoretical models. Furthermore, the energy dependence on firing …