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Editorial: Insights in neuromorphic engineering: 2021. [PDF]
Front Neurosci, 2023 Peer ...
van Schaik A, Linares-Barranco B.
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ChipsOxygen vacancy engineering in metal oxides is a propitious route to modulate their resistive switching properties for memory and neuromorphic applications.
Biswajit Jana, Ayan Roy Chaudhuri
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Neuromorphic engineering: overview and potential [PDF]
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006 Summary form only given. It is evident to even the most casual observer that the nervous systems of animals are able to accomplish feats that cannot be approached by our most powerful computing systems. Given the exponential increase in computing power over the last 45 years, our inability to rival the common housefly has become downright embarrassing.
C. Mead, G. Moore, B. Moore
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Scientific Reports, 2021 Mid-infrared wavelengths are called the molecular fingerprint region because it contains the fundamental vibrational modes inherent to the substances of interest. Since the mid-infrared spectrum can provide non-destructive identification and quantitative
Hwa-Seub Lee +7 more
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IEEE Access, 2022 Neuromorphic hardware is a system with massive potential to enable efficient computing by mimicking the human brain. The novel system processes information using neuron spikes (Action Potentials) and the synaptic connections between neurons are trained ...
Suman Hu +11 more
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Novel nano-plasmonic sensing platform based on vertical conductive bridge
Scientific Reports, 2021 A novel nano-plasmonic sensing platform based on vertical conductive bridge was suggested as an alternative geometry for taking full advantages of unique properties of conductive junction while substantially alleviating burdens in lithographic process ...
Hyo-Seung Park +5 more
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Crystals, 2021 A synaptic device that contains weight information between two neurons is one of the essential components in a neuromorphic system, which needs highly linear and symmetric characteristics of weight update.
Minkyung Kim +10 more
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Event-Based Feature Extraction Using Adaptive Selection Thresholds
Sensors, 2020 Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed
Saeed Afshar +5 more
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Low‐Power Computing with Neuromorphic Engineering [PDF]
Advanced Intelligent Systems, 2020 The increasing power consumption in the existing computation architecture presents grand challenges for the performance and reliability of very‐large‐scale integrated circuits. Inspired by the characteristics of the human brain for processing complicated tasks with low power, neuromorphic
Dingbang Liu, Hao Yu 0001, Yang Chai
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Introducing ‘Neuromorphic Computing and Engineering’
Neuromorphic Computing and Engineering, 2021 Abstract The standard nature of computing is currently being challenged by a range of problems that start to hinder technological progress. One of the strategies being proposed to address some of these problems is to develop novel brain-inspired processing methods and technologies, and apply them to a wide range of application ...
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