Parkinson's disease (PD) is the second most common neurodegenerative disease bearing a
severe social and economic impact. So far, there is no known disease modifying therapy …

Humans are complex organisms made by millions of physiological systems. Therefore,
physiological activities can represent physical or mental states of the human body …

Artificial neural networks built with optoelectronic synaptic devices have been proven to
process visual information effectively. However, it takes great latency time and energy …

The nociceptor is critical to developed the new generation human-like robots. It is a special
sensory receptor that detects noxious stimuli and responds accordingly. This report …

The inertia of trapping and detrapping of nonequilibrium charge carriers affects the
electrochemical and transport properties of both bulk and nanoscopic structures in a very …

One of the challenges in modern neuroscience is creating a brain-on-a-chip. Such a
semiartificial device based on neural networks grown in vitro should interact with the …

As a new type of two-terminal nonlinear nanoelectronic component, memristors have shown
significant application prospects in the post Moore's electron era, as they can store and …

Conventional implantable electronics based on von Neumann architectures encounter
significant limitations in computing and processing vast biological information due to …

TiO x switching oxide-based gated memristor FET is fabricated using a sputtering and lift-off
process. 3 µm wide source-drain electrode covered by∼ 15 nm TiO x layer. Field emission …

Wearable neuromorphic devices have gained attention because of the growth in the Internet
of Things and the increasing demand for health monitoring. They provide meaningful …