Results 11 to 20 of about 17,646 (123)
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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Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 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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The Intel neuromorphic DNS challenge
Neuromorphic Computing and Engineering, 2023 A critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them to state-of-the-art conventional solutions.
Jonathan Timcheck +7 more
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Prospects and applications of photonic neural networks
Advances in Physics: X, 2022 Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate ...
Chaoran Huang +17 more
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The influence of astrocytic leaflet motility on ionic signalling and homeostasis at active synapses
Scientific Reports, 2023 Astrocytes display a highly complex, spongiform morphology, with their fine terminal processes (leaflets) exercising dynamic degrees of synaptic coverage, from touching and surrounding the synapse to being retracted from the synaptic region.
Marinus Toman +7 more
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Frontiers in Neuroscience, 2022 Earth orbit is a limited natural resource that hosts a vast range of vital space-based systems that support the international community's national, commercial and defence interests.
Nicholas Ralph +7 more
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