Neuromorphic is a relatively new interdisciplinary research topic, which employs various
fields of science and technology, such as electronic, computer, and biology. Neuromorphic …

Broadly speaking, the goal of neuromorphic engineering is to build computer systems that
mimic the brain. Spiking Neural Network (SNN) is a type of biologically-inspired neural …

Neuromorphic computing aims to build digital or analog computer systems that emulate or
simulate the biological brain, in order to achieve high performance and low power …

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …

Abstract Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that
perform information processing based on discrete-time spikes, different from traditional …

Neuromorphic architectures have been introduced as platforms for energy-efficient spiking
neural network execution. The massive parallelism offered by these architectures has also …

Spiking neural network (SNN) can process discrete spikes and offers a high degree of real-
time performance and excellent energy efficiency ratio. However, most current neuromorphic …

Neuromorphic computing using post-CMOS technologies is gaining increasing popularity
due to its promising potential to resolve the power constraints in Von-Neumann machine …

The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

Generally, computer-science-oriented artificial neural networks (ANNs) and neuroscience-
oriented spiking neural networks (SNNs) are two main approaches to develop brain-spired …