Inspired by biological neuromorphic systems, which can simultaneously perceive,
remember, and process enormous information through parallel, energy-efficient processes …

Phototunable synaptic elements are beginning to emerge for the sustainable development
of advanced neuromorphic computing technology in the post‐Moore era. However, the …

Multi-input synaptic devices that can imitate multi-synaptic connection and integration in the
human brain are crucial for the construction of ideal brain-like computing systems with …

Tremendous progress has been achieved on organic transistor-based photodetectors;
however, because of the nonpositive correlation relationship between the photo/dark current …

Optically readable organic synaptic devices have great potential in both artificial intelligence
and photonic neuromorphic computing. Herein, a novel optically readable organic …

Synaptic transistors stimulated by light waves or photons may offer advantages to the
devices, such as wide bandwidth, ultrafast signal transmission, and robustness. However …

Organic optoelectronic synaptic devices that can reliably operate in high‐temperature
environments (ie, beyond 121° C) or remain stable after high‐temperature treatments have …

Photoelectric synaptic device is a promising candidate component in brain‐inspired high‐
efficiency neuromorphic computing systems. Implementing neuromorphic computing with …

Photonic artificial synapses‐based neuromorphic computing systems have been regarded
as promising candidates for replacing von Neumann‐based computing systems due to the …

The incorporation of light into synaptic devices for neuromorphic computing with low energy
consumption and high intelligence is greatly inspired by the development of optogenetics in …