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Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202202371
Abstract: Memory technologies and applications implemented fully or partially using emerging 2D materials have attracted increasing interest in the research community in recent years. Their unique characteristics provide new possibilities for highly integrated circuits with superior…
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Keywords:
materials circuit;
circuit level;
technologies applications;
material based ... See more keywords
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Published in 2019 at "Progress in Neurobiology"
DOI: 10.1016/j.pneurobio.2019.01.004
Abstract: Our perceptual systems continuously process sensory inputs from different modalities and organize these streams of information such that our subjective representation of the outside world is a unified experience. By doing so, they also enable…
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Keywords:
multisensory;
cortical multisensory;
circuit level;
multisensory processing ... See more keywords
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Published in 2018 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2018.2789723
Abstract: Neuro-inspired architectures based on synaptic memory arrays have been proposed for on-chip acceleration of weighted sum and weight update in machine/deep learning algorithms. In this paper, we developed NeuroSim, a circuit-level macro model that estimates…
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Keywords:
inspired architectures;
neuro inspired;
circuit level;
online learning ... See more keywords
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Published in 2018 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2018.2793852
Abstract: Graphene field-effect transistors (GFETs) are promising candidates for future nano-electronic circuitry with excellent radio frequency (RF) and microwave performance due to the ultra-high carrier mobility, large saturation velocity, and good electrical conductivity of the graphene…
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Keywords:
circuit level;
graphene field;
level;
circuit ... See more keywords