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Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202517785
Abstract: Neuromorphic computing provides a promising solution to the von Neumann bottleneck and has received a lot of research attention. However, due to the limitation of static threshold activation of traditional neuromorphic devices, it is difficult…
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Keywords:
neuron transistor;
adaptive activation;
activation;
activation neuron ... See more keywords
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Published in 2021 at "Nature Nanotechnology"
DOI: 10.1038/s41565-021-00874-8
Abstract: To circumvent the von Neumann bottleneck, substantial progress has been made towards in-memory computing with synaptic devices. However, compact nanodevices implementing non-linear activation functions are required for efficient full-hardware implementation of deep neural networks. Here,…
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Keywords:
neural networks;
energy;
activation neuron;
activation ... See more keywords