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Neuromorphic Engineering Needs Closed-Loop Benchmarks [PDF]
Frontiers in Neuroscience, 2022 Neuromorphic engineering aims to build (autonomous) systems by mimicking biological systems. It is motivated by the observation that biological organisms—from algae to primates—excel in sensing their environment, reacting promptly to their perils and ...
Moritz B. Milde +11 more
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Editorial: Neuromorphic engineering for robotics [PDF]
Frontiers in Neurorobotics, 2023 Zhenshan Bing +2 more
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Editorial: Reviews and perspectives in neuromorphic engineering: novel neuromorphic computing approaches [PDF]
Frontiers in NeurosciencePier Luigi Gentili +4 more
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Editorial: Emerging talents in neuromorphic engineering [PDF]
Frontiers in NeuroscienceThis Research Topic provides a platform to highlight the outstanding contributions of emerging talents in the field of neuromorphic engineering. Through this dedicated series, we aim to showcase the promising work of student researchers within Neuromorphic Engineering.
Horacio Rostro-Gonzalez +3 more
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Advancing neuroengineering with Neuromorphic Twins [PDF]
Nature CommunicationsNeuromorphic engineering, originally focused on replicating the biophysics of neurons and synapses in hardware, has progressively expanded to explore novel computational principles, materials, and applications.
Michela Chiappalone, Timothée Levi
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Synaptic Plasticity Engineering for Neural Precision, Temporal Learning, and Scalable Neuromorphic Systems [PDF]
Nano-Micro LettersHighlights This review provides an in-depth discussion of computing-unit optimization through synaptic plasticity engineering, enabling precise weight modulation in spatial models and effective temporal information processing in dynamic neural networks ...
Zhengjun Liu +4 more
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NPG Asia Materials, 2023 Various memristive devices have been proposed for use in neuromorphic computing systems as artificial synapses. Analog synaptic devices with linear conductance updates during training are efficiently essential to train neural networks.
Keonhee Kim +14 more
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A triple-level cell charge trap flash memory device with CVD-grown MoS2
Results in Physics, 2022 This study investigates the triple-level cell (TLC) memory retention of a MoS2-channel based charge trap flash (CTF) device. A top-gated CTF device with a high-κ gate dielectric is found to have a high coupling ratio, which enhances the tunneling ...
Minkyung Kim +9 more
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Nature Communications, 2022 Conventional filamentary memristors are limited in dynamics by the high electric-field dependence of the conductive filament. Here, Jeong et al. presents a method which creates a cluster-type memristor, enabling large conductance range and long data ...
Jaehyun Kang +10 more
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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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