Neuromorphic systems are gaining increasing importance in an era where CMOS digital
computing techniques are reaching physical limits. These silicon systems mimic extremely …

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

How we created neuromorphic engineering | Nature Electronics Skip to main content Thank
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Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

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

Neuromorphic computing covers a diverse range of approaches to information processing
all of which demonstrate some degree of neurobiological inspiration that differentiates them …

The goal of neuromorphic engineering is to build electronic systems that mimic the ability of
the brain to perform fuzzy, fault-tolerant, and stochastic computation, without sacrificing …

In this paper, we present a survey of recent works in developing neuromorphic or neuro-
inspired hardware systems. In particular, we focus on those systems which can either learn …

While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …

Neuromorphic architectures are hardware systems that aim to use the principles of neural
function for their basis of operation. Their goal is to harness biologically inspired concepts …