Most memristor-based neural network circuits consider only a single pattern of
overshadowing or emotion, but the relationship between overshadowing and emotion is …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

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 …

Episodic memory, as a type of long-term memory (LTM), is used to learn and store the
unique personal experience. Based on the episodic memory biological mechanism, this …

Neuromorphic systems must have at least five unavoidable features that are present in living
beings. First, neuromorphic systems must perform memorizing and processing functions …

A new hyperbolic-type memristor emulator is presented and its frequency-dependent
pinched hysteresis loops are analyzed by numerical simulations and confirmed by hardware …

Memristor is a nanoscale electronic device that exhibits the synaptic characteristics in
artificial neural network. Some valuable memristor-based synaptic circuits have been …

Most memristor-based associative memory neural networks are focused on classical
conditioning and ignored operant conditioning. In this paper, a memristor-based neural …

There are many learning modes in associative memory, but most of memristor-based Pavlov
associative memory circuits only have a single mode. A learning circuit that can realize …

Generally, people tend to learn or recall pleasant experiences during positive feelings.
Similarly, people tend to learn or recall unpleasant things during negative feelings. The …