Memristor is a nonlinear electronic component with memory properties, it is widely used in a
variety of nonlinear circuits for extensive adaptive control and model description of neural …

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

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

Nowadays, there is a lot of study on memristor-based systems with multistability. However,
there is no study on memristor with multistability. This brief constructs a mathematical …

In recent years, memristors have shown great potential in building artificial neural networks.
Many researchers have worked on improving and innovating the design of memristors. The …

Because of the advent of discrete memristor, memristor effect in discrete map has become
the important subject deserving discussion. To this end, this paper constructs a memristor …

Propagation and exchange of electrical signals between neurons mainly depend on the
controllability of synapses. These electrical signals will affect the dynamic characteristics of …

Capacitive membrane and inductive channels enable the approach of neural activities in
some equivalent neural circuits, and involvement of memristive term and magnetic flux can …

The memristor has drawn a significant interest in the fields of neuromorphic circuits because
the nanoscale memristor is a strong candidate to become the critical element of novel ultra …

Electromagnetic induction plays a vital role in impacting the neuron dynamics, since the
electromagnetic induction is triggered alongside with the complex interaction of membrane …