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

Artificial intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …

Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Auditory system in animals can capture external sound signals, which can be converted into
biophysical electric signals, and then the auditory neurons are activated to generate kinds of …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Neuromorphic computing based on a non‐von Neumann architecture is a promising way for
the efficient implementation of artificial intelligence. A neuromorphic computing system is …

In this article, a highly scalable and CMOS compatible double-gate junctionless field-effect
transistor (DG-JLFET)-based leaky integrate-and-fire (LIF) neuron is presented for the sub …

This work focuses on the optimization of the structural complexity of a single-layer
feedforward neural network (SLFN) for neuromorphic hardware implementation. The …

We demonstrate a highly biomimetic spiking neuron capable of fast and energy-efficient
neuronal oscillation dynamics. Our simple neuron circuit is constructed using silicon …

Feedback field-effect transistors (FBFETs) are devices based on a positive feedback loop in
which the electrons and holes in the channel region act on the energy states of the potential …