Works matching IS 16625188 AND DT 2023 AND VI 17
Results: 29
Leveraging conscious and nonconscious learning for efficient AI.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1090126
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Spike timing-dependent plasticity under imbalanced excitation and inhibition reduces the complexity of neural activity.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 01, doi. 10.3389/fncom.2023.1169288
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An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1145209
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Editorial: Computational methods for neuroimaging: Challenges and future trends.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1181169
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Accurate few-shot object counting with Hough matching feature enhancement.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1145219
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Retraction: Spiking correlation analysis of synchronous spikes evoked by acupuncture mechanical stimulus.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1188613
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- Article
Flexible intentions: An Active Inference theory.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 01, doi. 10.3389/fncom.2023.1128694
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A survey of neurophysiological differentiation across mouse visual brain areas and timescales.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1040629
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Approximate solutions to several classes of Volterra and Fredholm integral equations using the neural network algorithm based on the sine-cosine basis function and extreme learning machine.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1120516
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Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1119685
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A computational passage-of-time model of the cerebellar Purkinje cell in eyeblink conditioning.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1108346
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Energy-based analog neural network framework.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1114651
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Editorial: Recent advances in EEG (non-invasive) based BCI applications.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1151852
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Bayesian hierarchical models and prior elicitation for fitting psychometric functions.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1108311
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Sampling of environmental electromagnetic frequencies demonstrates the evolution of the nervous system toward social cognitive reflexes.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1008238
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Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1079483
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A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1110889
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An N400 identification method based on the combination of Soft-DTW and transformer.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 01, doi. 10.3389/fncom.2023.1120566
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Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1108889
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HC-Net: A hybrid convolutional network for non-human primate brain extraction.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1113381
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A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1053097
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Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve?
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1149849
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Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1038636
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Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1109371
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Improving focality and consistency in micromagnetic stimulation.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1105505
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A flexible speller based on time-space frequency conversion SSVEP stimulation paradigm under dry electrode.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1101726
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Deep learning on lateral flow immunoassay for the analysis of detection data.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1091180
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Editorial: Computational modeling methods for naturalistic neuroimaging data.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 01, doi. 10.3389/fncom.2023.1117945
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Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems.
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- Frontiers in Computational Neuroscience, 2023, v. 17, p. 1, doi. 10.3389/fncom.2023.1126493
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