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Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202423267
Abstract: Artificial neurons with leaky rectified linear unit (L‐ReLU) function can effectively process negative information, enhancing the neuromorphic systems capbility to handle negative values. Memristive devices show great potential in building compact and bio‐plausible artificial neurons,…
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Keywords:
diffusive memristor;
neuromorphic systems;
high accuracy;
relu neuron ... See more keywords
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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 2022 at "Advanced Science"
DOI: 10.1002/advs.202106017
Abstract: A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T‐neuron) made of a metal‐oxide‐semiconductor field‐effect transistor…
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Keywords:
neuron;
olfactory;
sensor neuromorphic;
neuromorphic nose ... See more keywords
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Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202303775
Abstract: The spread of prion‐like protein aggregates is a common driver of pathogenesis in various neurodegenerative diseases, including Alzheimer's disease (AD) and related Tauopathies. Tau pathologies exhibit a clear progressive spreading pattern that correlates with disease…
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Keywords:
pathology;
tau;
lymphocyte activation;
neuron neuron ... See more keywords
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Published in 2024 at "Advanced Electronic Materials"
DOI: 10.1002/aelm.202400432
Abstract: The human brain facilitates information processing via generating and receiving temporal patterns of short voltage pulses, a.k.a. neural spikes. This approach simultaneously grants low‐power operation as well as a high degree of noise immunity and…
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Keywords:
probability;
terminal memristive;
memristive artificial;
voltage ... See more keywords
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Published in 2021 at "Journal of Comparative Neurology"
DOI: 10.1002/cne.25227
Abstract: The ability of locusts to detect looming stimuli and avoid collisions or predators depends on a neuronal circuit in the locust's optic lobe. Although comprehensively studied for over three decades, there are still major questions…
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Keywords:
face scanning;
neuron;
microscopy;
block face ... See more keywords
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Published in 2019 at "Glia"
DOI: 10.1002/glia.23580
Abstract: Optogenetics has been widely expanded to enhance or suppress neuronal activity and it has been recently applied to glial cells. Here, we have used a new approach based on selective expression of melanopsin, a G‐protein‐coupled…
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Keywords:
optogenetic activation;
melanopsin precise;
astrocyte;
neuron ... See more keywords
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Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7862-5_10
Abstract: Myelination cell culture systems are useful tools for studying myelin biology and myelin-related disorders. Compared to a number of established protocols for dissociated pure oligodendrocyte (OL) culture, methods for myelination culture are limited. We recently developed…
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Keywords:
microscopy;
neuron;
myelination;
biology ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1353-5
Abstract: Hashing has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval. A variety of hashing methods have been developed for learning an efficient binary data representation, mainly by relaxing some imposed constraints…
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Keywords:
neuron;
neuron hashing;
deep neuron;
unsupervised deep ... See more keywords
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Published in 2020 at "Neuroinformatics"
DOI: 10.1007/s12021-019-09450-x
Abstract: Neuron shape and connectivity affect function. Modern imaging methods have proven successful at extracting morphological information. One potential path to achieve analysis of this morphology is through graph theory. Encoding by graphs enables the use…
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Keywords:
neuron;
graph;
neuropath2path classification;
path ... See more keywords
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Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9463-7
Abstract: Reservoir computing (RC) has attracted a lot of attention in the field of machine learning because of its promising performance in a broad range of applications. However, it is difficult to implement standard RC in…
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Keywords:
neuron;
delay;
time delay;
reservoir computing ... See more keywords