The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

As a key building block of biological cortex, neurons are powerful information processing
units and can achieve highly complex nonlinear computations even in individual cells …

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

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

Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …

Drawing inspiration from biology, neuromorphic systems are of great interest in direct
interaction and efficient processing of analogue signals in the real world and could be …

The von Neumann bottleneck and memory wall have posed fundamental limitations in
latency and energy consumption of modern computers based on von Neumann architecture …

Neuromorphic computation based on resistive switching devices represents a relevant
hardware alternative for artificial deep neural networks. For the highest accuracies on …

By mimicking the behavior of the human brain, artificial neural systems offer the possibility to
further improve computing efficiency and solve the von Neumann bottleneck. In particular …