Results 21 to 30 of about 10,442 (302)
Emerging Materials for Neuromorphic Devices and Systems
iScience, 2020 Neuromorphic devices and systems have attracted attention as next-generation computing due to their high efficiency in processing complex data. So far, they have been demonstrated using both machine-learning software and complementary metal-oxide ...
Min-Kyu Kim +3 more
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Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering [PDF]
Frontiers in Neuroscience, 2014 ISSN:1662 ...
Delbruck, Tobi +2 more
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Closed-loop sound source localization in neuromorphic systems
, 2023 Sound source localization (SSL) is used in various applications such as industrial noise-control, speech detection in mobile phones, speech enhancement in hearing aids and many more. Newest video conferencing setups use SSL.
Schoepe, Thorben +6 more
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Frontiers in Neuroscience, 2011 State-of-the-art large scale neuromorphic systems require sophisticated spike event communication between units of the neural network. We present a high-speed communication infrastructure for a waferscale neuromorphic system, based on application ...
Stefan eScholze +9 more
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IEEE Access, 2021 Neuromorphic systems have shown improvements over the years, leveraging Spiking neural networks (SNN) event-driven nature to demonstrate low power consumption.
Ogbodo Mark Ikechukwu +2 more
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The operating system of the neuromorphic BrainScaleS-1 system
Neurocomputing, 2022 BrainScaleS-1 is a wafer-scale mixed-signal accelerated neuromorphic system targeted for research in the fields of computational neuroscience and beyond-von-Neumann computing. The BrainScaleS Operating System (BrainScaleS OS) is a software stack giving users the possibility to emulate networks described in the high-level network description language ...
Eric Müller 0001 +21 more
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Exploiting spatio-temporal patterns with neuromorphic systems [PDF]
, 2023 New demands in artificial intelligence, the increase of data available, and the forecasts of reaching Moore’s law ceiling push algorithms towards the edge for low latency, low power, and highly intelligent devices.
PEQUEÑO ZURRO, ALEJANDRO
core
Probing switching mechanism of memristor for neuromorphic computing
Nano Express, 2023 In recent, neuromorphic computing has been proposed to simulate the human brain system to overcome bottlenecks of the von Neumann architecture. Memristors, considered emerging memory devices, can be used to simulate synapses and neurons, which are the ...
Zhe Yang +5 more
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Ga-Sn-O Thin-Film Memristor and Analog Plasticity Characteristic
IEEE Journal of the Electron Devices Society, 2023 A Ga-Sn-O (GTO) thin-film memristor has been developed, and an analog plasticity characteristic has been observed. First, GTO thin-film memristors are fabricated by depositing three GTO layers in a stacked structure using sputtering.
Daisuke Makioka +2 more
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A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. [PDF]
, 2022 Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability.
Cramer, Benjamin +22 more
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