D Ham, H Park, S Hwang, K Kim - Nature Electronics, 2021 - nature.com
Reverse engineering the brain by mimicking the structure and function of neuronal networks on a silicon integrated circuit was the original goal of neuromorphic engineering, but …
M Davies - Nature Machine Intelligence, 2019 - nature.com
No one would accuse neuromorphic computing of lacking ambition. With a mission to decipher the multitude of secrets nature deploys to achieve unrivalled efficiency and …
Several analog and digital brain-inspired electronic systems have been recently proposed as dedicated solutions for fast simulations of spiking neural networks. While these …
Y Zhang, P Qu, Y Ji, W Zhang, G Gao, G Wang, S Song… - Nature, 2020 - nature.com
Neuromorphic computing draws inspiration from the brain to provide computing technology and architecture with the potential to drive the next wave of computer engineering …
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 …
Guided by brain-like 'spiking'computational frameworks, neuromorphic computing—brain- inspired computing for machine intelligence—promises to realize artificial intelligence while …
How we created neuromorphic engineering | Nature Electronics Skip to main content Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To …
Neuromorphic devices represent an attempt to mimic aspects of the brain's architecture and dynamics with the aim of replicating its hallmark functional capabilities in terms of …
In this article, we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic …