Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Neuromorphic computing is a promising technology that realizes computation based on
event-based spiking neural networks (SNNs). However, fault-tolerant on-chip learning …

The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …

The ever‐increasing processing power demands of digital computers cannot continue to be
fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing …

We examine the challenging “marriage” between computational efficiency and biological
plausibility—A crucial node in the domain of spiking neural networks at the intersection of …

Due to the ability to implement customized topology, FPGA is increasingly used to deploy
SNNs in both embedded and high-performance applications. In this paper, we survey state …

Coordinate Rotation Digital Computer (CORDIC) is a robust iterative algorithm that
computes many transcendental mathematical functions. This paper proposes a …

The performance of a biologically plausible spiking neural network (SNN) largely depends
on the model parameters and neural dynamics. This article proposes a parameter …

The neuron can be called the main cell of a nervous system that can transmit messages from
one neuron to another neuron or another cell through electrical signals. In neuromorphic …

In emerging Spiking Neural Network (SNN) based neuromorphic hardware design, energy
efficiency and on-line learning are attractive advantages mainly contributed by bio-inspired …