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 …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic
chips with high energy efficiency by introducing neural dynamics and spike properties. As …

Multisensory integration is a salient feature of the brain which enables better and faster
responses in comparison to unisensory integration, especially when the unisensory cues …

Physiological signal processing plays a key role in next-generation human-machine
interfaces as physiological signals provide rich cognition-and health-related information …

Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …

Organic field‐effect transistors with parallel transmission and learning functions are of
interest in the development of brain‐inspired neuromorphic computing. However, the poor …

Constructing crossmodal in-sensor processing system based on high-performance flexible
devices is of great significance for the development of wearable human-machine interfaces …

The cointegration of artificial neuronal and synaptic devices with homotypic materials and
structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate …