Simulating biological synaptic functionalities through artificial synaptic devices opens up an
innovative way to overcome the von Neumann bottleneck at the device level. Artificial …

Massive data processing with high computing efficiency and low operating power is required
owing to the rapid development of artificial intelligence and information technology …

The number of sensor nodes in the Internet of Things is growing rapidly, leading to a large
volume of data generated at sensory terminals. Frequent data transfer between the sensors …

Being capable of dealing with both electrical signals and light, artificial optoelectronic
synapses are of great importance for neuromorphic computing and are receiving a …

Optogenetics refers to a technique that uses light to modulate neuronal activity with a high
spatiotemporal resolution, which enables the manipulation of learning and memory …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Neuromorphic photonics system based on the principle of biological brain is emerging as
one of the potential solutions to the bottleneck inherent in classical von Neumann computing …

The first flexible organic‐heterojunction neuromorphic transistor (OHNT) that senses
broadband light, including near‐ultraviolet (NUV), visible (vis), and near‐infrared (NIR), and …

Next‐generation memristive devices and neuromorphic computing have many fantastic
properties in breaking down the memory walls of conventional von Neumann structures …

As the most basic and important sense of the human body, kinesthesia has the ability to act
and adapt to stimuli. Simulating the kinesthetic process from the level of sensory neurons is …