The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and
Internet of Things applications expect the emerging memristor devices and their hardware …

A new three-dimensional (3D) memristive HR neuron model is presented, which is improved
from an existing memristive HR neuron model using a memristor synapse with sine …

Most of the classical conditioning laws implemented by existing circuits are involved in
learning and forgetting between only three neurons, and the problems between multiple …

The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …

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

Most memristor-based Pavlov associative memory neural networks strictly require that only
simultaneous food and ring appear to generate associative memory. In this article, the time …

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 …

The present study proposes a new fractional-order hyperchaotic memristor oscillator. The
proposed system is studied through numerical simulations and analyses, such as the …

Memristor synapse can be used to characterize the electromagnetic induction effect
between two neurons that induces an action current by their membrane potential difference …

Biological nonassociative learning is one of the simplest forms of unsupervised learning in
animals and can be categorized into habituation and sensitization according to mechanism …