Found: 26
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Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1157418
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Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1060511
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Non-stationary neural signal to image conversion framework for image-based deep learning algorithms.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1081160
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The role of wrist-worn technology in the management of Parkinson’s disease in daily life: A narrative review.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1135300
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Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1150157
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QuNex--An integrative platform for reproducible neuroimaging analytics.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1104508
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A study on the clusterability of latent representations in image pipelines.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 01, doi. 10.3389/fninf.2023.1074653
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Corrigendum: Functional MRI study of feedback-based reinforcement learning in depression.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1175847
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- Article
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1125844
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NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 01, doi. 10.3389/fninf.2023.1092967
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Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1122470
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Novel methods for elucidating modality importance in multimodal electrophysiology classifiers.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1123376
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An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1126783
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Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 01, doi. 10.3389/fninf.2023.956600
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Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1101112
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A neuroscientist's guide to using murine brain atlases for efficient analysis and transparent reporting.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1154080
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CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1134405
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Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.852105
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Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 01, doi. 10.3389/fninf.2023.1005936
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An accessible and versatile deep learning-based sleep stage classifier.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1086634
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Editorial: Machine learning methods for human brain imaging.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 01, doi. 10.3389/fninf.2023.1154835
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A systematic comparison of deep learning methods for EEG time series analysis.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1067095
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Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.1161475
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- Article
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2022.1055241
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An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 01, doi. 10.3389/fninf.2023.1096053
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A parameter-optimization framework for neural decoding systems.
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- Frontiers in Neuroinformatics, 2023, v. 17, p. 1, doi. 10.3389/fninf.2023.938689
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