Results 101 to 110 of about 2,713,157 (313)
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Overlap syndrome (OVS) is a distinct clinical entity that seems to result in potential cardiovascular consequences. We aimed to estimate the prevalence and risk factors for OVS in OSA patients and analyze clinical and PSG characteristics associated with ...
Michail Fanaridis +8 more
doaj +1 more source
Polysomnographic survey of sleep architecture in patients with methamphetamine dependence during remission [PDF]
Introduction: Methamphetamine dependence is common in the world. Methamphetamine affects sleep architecture through changes in the monoaminergic activity of the brain.
Amir Rezaei-Ardani +4 more
doaj +1 more source
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms [PDF]
We have developed an automatic sleep stage classification algorithm based on deep residual neural networks and raw polysomnogram signals. Briefly, the raw data is passed through 50 convolutional layers before subsequent classification into one of five ...
Jennum, Poul +4 more
core +2 more sources
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Robust, automated sleep scoring by a compact neural network with distributional shift correction. [PDF]
Studying the biology of sleep requires the accurate assessment of the state of experimental subjects, and manual analysis of relevant data is a major bottleneck.
Barger, Zeke +4 more
core +1 more source
Long‐Term Memory Updating Parallels Altered Awake and Sleep Hippocampal Replays
This study introduces a behavioral paradigm for memory updating and reveals underlying hippocampal mechanisms. Replays of place cells predict future behavioral choices during behavior and show a bias toward high‐reward locations during non‐rapid eye movement (NREM) sleep, specifically within the memory updating process.
Jifu Tong +14 more
wiley +1 more source
Sleep disturbances in drug naïve Parkinson′s disease (PD) patients and effect of levodopa on sleep
Context: Parkinson′s disease (PD) is associated with sleep disturbances, attributed to the neurodegenerative process and therapeutic drugs. Studies have found levodopa to increase wakefulness in some patients while increasing sleepiness in others.
Teresa Ferreira +2 more
doaj +1 more source
Neurons expressing neuropeptide orexins (hypocretins) in the lateral hypothalamus (LH) and serotonergic neurons in the dorsal raphe nucleus (DR) both play important roles in the regulation of sleep/wakefulness states, and show similar firing patterns ...
Yuki C. Saito +5 more
semanticscholar +1 more source
Plasma proteomics is leveraged to decode the biological underpinnings of chronic widespread pain. A nested machine learning framework integrates proteomic signatures, prospective outcomes, and Mendelian randomization to uncover 18 causal proteins.
Li Chen +16 more
wiley +1 more source

