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Published in 2019 at "Trends in Neurosciences"
DOI: 10.1016/j.tins.2018.09.004
Abstract: Speech has long been recognized as 'special'. Here, we suggest that one of the reasons for speech being special is that our auditory system has evolved to encode it in an efficient, optimal way. The…
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Keywords:
efficient neural;
speech;
auditory speech;
speech perception ... See more keywords
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Published in 2025 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2513768122
Abstract: The remarkable human capacity for bilingual and multilingual acquisition raises fundamental questions about how the brain develops efficient systems for processing multiple languages. In this study, we used neural network models trained on natural speech…
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Keywords:
efficient neural;
neural encoding;
language;
revealed bilingualism ... See more keywords
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Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac338
Abstract: As a frontier field of individualized therapy, microRNA (miRNA) pharmacogenomics facilitates the understanding of different individual responses to certain drugs and provides a reasonable reference for clinical treatment. However, the known drug resistance-associated miRNAs are…
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Keywords:
efficient neural;
graph;
mirna drug;
drug ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3470134
Abstract: Patients seek quality healthcare because they trust their doctors and the healthcare system. However, the use of AI models in medical consultations has undermined this trust. AI systems typically depend on accurate and large volumes…
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Keywords:
efficient neural;
health consultations;
neural network;
trust ... See more keywords
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Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8091648
Abstract: In this paper, we suggest an efficient neural network model for shape from focus along with weight passing (WP) method. The neural network model is simplified by reducing the input data dimensions and eliminating the…
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Keywords:
efficient neural;
method;
shape focus;
neural network ... See more keywords
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Published in 2025 at "Symmetry"
DOI: 10.3390/sym17101648
Abstract: Neural network training often suffers from spectral asymmetry, where gradient energy is disproportionately allocated to high-frequency components, leading to suboptimal convergence and reduced efficiency. This paper introduces Gradient Spectral Normalization (GSN), a novel optimization technique…
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Keywords:
efficient neural;
symmetry;
network training;
spectral symmetry ... See more keywords