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Six networks on a universal neuromorphic computing substrate [PDF]
, 2013 In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of this system lies a mixed-signal chip, with analog implementations of neurons and synapses and ...
Andreas eGrübl +10 more
core +3 more sources
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 2019 On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott +56 more
core +2 more sources
Research, 2022 As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size.
Zhongrong Wang +15 more
doaj +1 more source
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
Frontiers in Neuroscience, 2018 Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evolved
Chetan Singh Thakur +14 more
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Nano Convergence, 2023 The interplay between ferromagnetism and the non-trivial topology has unveiled intriguing phases in the transport of charges and spins. For example, it is consistently observed the so-called topological Hall effect (THE) featuring a hump structure in the
Seong Won Cho +10 more
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Neuromorphic Devices for Bionic Sensing and Perception
Frontiers in Neuroscience, 2021 Neuromorphic devices that can emulate the bionic sensory and perceptual functions of neural systems have great applications in personal healthcare monitoring, neuro-prosthetics, and human–machine interfaces.
Mingyue Zeng +3 more
doaj +1 more source
Advanced Intelligent Systems, 2020 In the tide of artificial intelligence evolution, the demand for data computing has exploded, and the von Neumann architecture computer with separate memory and computing units require cumbersome data interaction, which leads to serious degradation in ...
Shuiyuan Wang +4 more
doaj +1 more source
Emerging memristive neurons for neuromorphic computing and sensing
Science and Technology of Advanced Materials, 2023 Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption.
Zhiyuan Li +4 more
doaj +1 more source
Perspective: Organic electronic materials and devices for neuromorphic engineering
, 2018 Neuromorphic computing and engineering has been the focus of intense research efforts that have been intensified recently by the mutation of Information and Communication Technologies (ICT). In fact, new computing solutions and new hardware platforms are
Alibart, Fabien +2 more
core +2 more sources
Preparation and transport property of nano-Li4Ti5O12 anode materials
Cailiao gongcheng, 2021 Li4Ti5O12 (LTO) anode materials are successfully prepared by sol-gel method using butyl phthalate and lithium acetate as precursors.The phase and morphology of the material were characterized by X-ray diffraction,scanning electron microscopy and ...
LIAN Tian-rou +6 more
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