With the rapid development of data‐driven human interaction, advanced data‐storage
technologies with lower power consumption, larger storage capacity, faster switching speed …

Many forward‐looking biomedical, pharmaceutical, and food industry technologies have
limited applications owing to the lack of crucial factors: balance of safety and reliability, cost …

Brain-inspired parallel computing, which is typically performed using a hardware neural-
network platform consisting of numerous artificial synapses, is a promising technology for …

As key components of the human brain's neural network, synapses and neurons are
important processing units that enable highly complex neuromorphic systems. Spiking …

Inspired by human brain and visual system, optoelectronic memristors-based neuromorphic
computing has attracted the interests of researchers to overcome the limitation of traditional …

To circumvent the von Neumann bottleneck, substantial progress has been made towards in-
memory computing with synaptic devices. However, compact nanodevices implementing …

Heterosynaptic neuromodulation is a key enabler for energy‐efficient and high‐level
biological neural processing. However, such manifold synaptic modulation cannot be …

Organic and perovskite memristors have superior characteristics both in material and
structural perspectives, and therefore have been evaluated for possible integration as bio …

On the basis of recent research, brain-inspired parallel computing is considered as one of
the most promising technologies for efficiently handling large amounts of informational data …

Neuromorphic computing has garnered significant attention because it can overcome the
limitations of the current von-Neumann computing system. Analog synaptic devices are …