Physical reservoir computing is a form of neuromorphic computing that harvests the dynamic
properties of materials for high-efficiency computing. A wide range of physical systems can …

Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …

The advent of big data and the Internet of Things has created urgent demands for in‐sensor
computing hardware with multimodal perception that can effectively resolve the inefficiency …

Bio-inspired transistor synapses use solid electrolytes to achieve low-power operation and
rich synaptic behaviors via ion diffusion and trap**. While these neuromorphic devices …

Selective attention is an efficient processing strategy to allocate computational resources for
pivotal optical information. However, the hardware implementation of selective visual …

Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile
neuromorphic systems. However, due to the fragility of organic materials to organic solvents …

Visual adaptation allows organisms to accurately perceive the external world even in
dramatically changing environments, from dim starlight to bright sunlight. In particular …

Bioinspired bionic eyes should be self-driving, repairable and conformal to arbitrary
geometries. Such eye would enable wide-field detection and efficient visual signal …

Light‐stimulated optoelectronic synaptic devices are fundamental compositions of the
neuromorphic vision system. However, there are still huge challenges to achieving both …