Bioinspired synaptic devices have shown great potential in artificial intelligence and
neuromorphic electronics. Low energy consumption, multi‐modal sensing and recording …

Spiking neural networks (SNNs) are gaining increasing attention as potential
computationally efficient alternatives to traditional artificial neural networks (ANNs) …

Artificial neural networks (ANNs) are the basis of recent advances in artificial intelligence
(AI); they typically use real valued neuron responses. By contrast, biological neurons are …

For a biological agent operating under environmental pressure, energy consumption and
reaction times are of critical importance. Similarly, engineered systems are optimized for …

Spiking neural network (SNN) has been viewed as a potential candidate for the next
generation of artificial intelligence with appealing characteristics such as sparse …

Emulating spiking neural networks on analog neuromorphic hardware offers several
advantages over simulating them on conventional computers, particularly in terms of speed …

Capable of reflecting the location and intensity of external harmful stimuli, a nociceptor
network is of great importance for receiving pain-perception information. However, the …

The sensory nervous system of humans mainly depends on continuous training and memory
to improve the pain-perceptional abilities for the complex noxious information in the real …

Sensory adaptation is a very important function of the biological nervous system to maintain
survival. It helps us to better perceive, understand, and adapt to the environment. Therefore …

Inspired by biological retina, dynamical vision sensor transmits events of instantaneous
changes of pixel intensity, giving it a series of advantages over traditional frame-based …