From Robust Hardware Architectures to Testing Strategies - IEEE Xplore
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This paper provides an overview of the challenges faced by hardware implemented Spiking Neural Networks, from device to circuit design, reliability and test ...
Nov 9, 2021 · PDF | On Oct 1, 2018, Lorena Anghel and others published Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies ...
This paper provides an overview of the challenges faced by hardware implemented Spiking Neural Networks, from device to circuit design, reliability and test ...
Abstract— This paper provides an overview of the challenges faced by hardware implemented Spiking Neural Networks, from device to circuit design, ...
Abstract: This paper provides an overview of the challenges faced by hardware implemented Spiking Neural Networks, from device to circuit design, reliability ...
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Oct 8, 2018 · This paper provides an overview of the challenges faced by hardware implemented Spiking Neural Networks, from device to circuit design, ...
In this cross-journal collection, we aim to bring together cutting-edge research of neuromorphic architectures and hardware, computing and algorithms, ...
Neuromorphic Computing is the use of very large scale integration (VLSI) systems containing electronic analog circuits to simulate the neuro-biological ...
Oct 21, 2024 · Neuromorphic physical systems carry out robust and efficient neural computation using hardware implementations that operate in physical time.
Jan 31, 2022 · We review recent results in neuromorphic computing algorithms and applications. We highlight characteristics of neuromorphic computing technologies that make ...