To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

The von Neumann bottleneck and memory wall have posed fundamental limitations in
latency and energy consumption of modern computers based on von Neumann architecture …

Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …

Although two-dimensional (2D) nanomaterials are promising candidates for use in memory
and synaptic devices owing to their unique physical, chemical, and electrical properties, the …

Initial-dependent extreme multi-stability and offset-boosted coexisting attractors have been
significantly concerned recently. This paper constructs a novel five-dimensional (5-D) two …

Although the structure and function of the human brain are still far from being fully
understood, brain‐inspired computing architectures mainly consisting of artificial neurons …

Resistive switching (RS) memories have attracted great attention as promising solutions to
next-generation non-volatile memories and computing technologies because of their simple …

Neurobiology‐inspired phenomena such as winner‐takes‐all competition and critical
dynamics have been recently reported to arise in neuromorphic nanowire networks. These …

In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

In this paper, we propose a new nonvolatile locally active memristor based on Chua's
unfolding theorem. The power-off plot confirms nonvolatility of the memristor, and then the …