Works matching IS 16625188 AND DT 2024
Results: 142
Alleviating the medical strain: a triage method via cross-domain text classification.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1468519
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FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1485121
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Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1476164
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Learning dynamic cognitive map with autonomous navigation.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1498160
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Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1527725
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A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamics.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1483100
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Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1508297
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Model of the HVC neural network as a song motor in zebra finch.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1417558
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1416838
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Modeling functional connectivity changes during an auditory language task using line graph neural networks.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1471229
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Sex differences in brain MRI using deep learning toward fairer healthcare outcomes.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1452457
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Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1514220
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Simulated synapse loss induces depression-like behaviors in deep reinforcement learning.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1466364
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Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1475530
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Facial emotion recognition using deep quantum and advanced transfer learning mechanism.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1435956
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BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1482994
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Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1445621
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Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1489463
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Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1487877
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Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1464603
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Optimizing extubation success: a comparative analysis of time series algorithms and activation functions.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1456771
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Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1455530
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A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1444019
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Analyzing top-down visual attention in the context of gamma oscillations: a layerdependent network-ofnetworks approach.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1439632
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Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1431815
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Multi-label remote sensing classification with self-supervised gated multi-modal transformers.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1404623
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Decoding the application of deep learning in neuroscience: a bibliometric analysis.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1402689
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Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1360095
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- Publication type:
- Article
Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1464603
- By:
- Publication type:
- Article
Optimizing extubation success: a comparative analysis of time series algorithms and activation functions.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1456771
- By:
- Publication type:
- Article
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1455530
- By:
- Publication type:
- Article
Analyzing top-down visual attention in the context of gamma oscillations: a layer-dependent network-of-networks approach.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1439632
- By:
- Publication type:
- Article
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1431815
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- Publication type:
- Article
Decoding the application of deep learning in neuroscience: a bibliometric analysis.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1402689
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- Publication type:
- Article
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1360095
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- Publication type:
- Article
Supplementary Material.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1
- Publication type:
- Article
Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data.
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- Frontiers in Computational Neuroscience, 2024, p. 01, doi. 10.3389/fncom.2024.1478193
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- Publication type:
- Article
Decoding the application of deep learning in neuroscience: a bibliometric analysis.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1402689
- By:
- Publication type:
- Article
Optimizing extubation success: a comparative analysis of time series algorithms and activation functions.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1456771
- By:
- Publication type:
- Article
Decoding the application of deep learning in neuroscience: a bibliometric analysis.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1402689
- By:
- Publication type:
- Article
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1455530
- By:
- Publication type:
- Article
Multi-label remote sensing classification with self-supervised gated multi-modal transformers.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1404623
- By:
- Publication type:
- Article
Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1464603
- By:
- Publication type:
- Article
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1431815
- By:
- Publication type:
- Article
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices.
- Published in:
- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1360095
- By:
- Publication type:
- Article
Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation.
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- Frontiers in Computational Neuroscience, 2024, p. 01, doi. 10.3389/fncom.2024.1460006
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- Publication type:
- Article
Capturing biomarkers associated with Alzheimer disease subtypes using data distribution characteristics.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1388504
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- Publication type:
- Article
Editorial: Understanding the role of oscillations, mutual information and synchronization in perception and action.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1452001
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- Publication type:
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Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1335130
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Bursting gamma oscillations in neural mass models.
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- Frontiers in Computational Neuroscience, 2024, p. 1, doi. 10.3389/fncom.2024.1422159
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