Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

By integrating sensing, memory and processing functionalities, biological nervous systems
are energy and area efficient. Emulating such capabilities in artificial systems is, however …

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

As the most promising candidates for the implementation of in-sensor computing,
retinomorphic vision sensors can constitute built-in neural networks and directly implement …

The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

The latest developments in bio-inspired neuromorphic vision sensors can be summarized in
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …

Living organisms have a very mysterious and powerful sensory computing system based on
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …

Electrolyte-gated transistors can function as switching elements, artificial synapses and
memristive systems, and could be used to create compact and powerful neuromorphic …

The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …