Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

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

Episodic memory involves learning and recalling associations between items and their
spatiotemporal context. Those memories can be further used to generate internal models of …

In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …

The human brain can perform advanced computing tasks, such as learning, recognition, and
cognition, with extremely low power consumption and low frequency of neuronal spiking …

Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

Brain oscillations are one of the core mechanisms underlying episodic memory. However,
while some studies highlight the role of synchronized oscillatory activity, others highlight the …

In spike-timing-dependent plasticity (STDP), the order and precise temporal interval
between presynaptic and postsynaptic spikes determine the sign and magnitude of long …

Brain-inspired computing is an emerging field, which aims to extend the capabilities of
information technology beyond digital logic. A compact nanoscale device, emulating …

Synapses are highly plastic and are modified by changes in patterns of neural activity or
sensory experience. Plasticity of cortical excitatory synapses is thought to be important for …