OBJECTIVE: Deep brain stimulation (DBS) of the centromedian nucleus (CM) of the thalamus is a promising treatment for drug-resistant epilepsy, Tourette syndrome, disorders of consciousness, and chronic pain, particularly when other surgical options a... read more
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
Accurate decoding of lower-limb motion from EEG signals is essential for advancing brain-computer interface (BCI) applications in movement intent recognition and control. This study presents NeuroDyGait, a two-stage, phase-aware EEG-to-gait decoding ... read more
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
For modality translation tasks, diffusion models based on x-prediction offer faster and more accurate image generation compared to traditional ϵ-prediction. However, they often suffer from training-inference inconsistency (TII), which arises from a m... read more
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
Graph Transformers (GTs), as emerging foundational encoders for graph-structured data, have shown promising performance due to the integration of local graph structures with global attention mechanisms. However, the complex attention functions and th... read more
Computer methods and programs in biomedicine
Jan 16, 2026
BACKGROUND AND OBJECTIVE: Gesture recognition based on surface electromyography (sEMG) has achieved significant progress in human-machine interaction (HMI), especially in prosthetic control and movement rehabilitation. However, accurately recognizing... read more
The environmental dissemination of antibiotic resistance genes (ARGs) is a cornerstone of the One Health crisis, linking human, animal, and environmental health. Engineered ecosystems, such as constructed wetlands (CWs), are critical for water purifi... read more
Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations. This study proposes a dual-representation stru... read more
BACKGROUND/PURPOSE: The prevalence of medical and technical jargon makes the dissemination of healthcare information to patients challenging. Plain language (PL) writing, a style of written communication that strives to employ clear and concise langu... read more
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2026
Graph contrastive learning methods based on the information noise contrastive estimation (InfoNCE) loss have made significant advances in graph representation learning. However, existing methods primarily focus on optimizing graph augmentation strate... read more
BACKGROUND AND AIMS: Malaria is a deadly disease spread through the bite of an infected female Anopheles mosquito and remains the leading cause of mortality globally. Screening donated blood for malaria parasites is essential to prevent its transmiss... read more
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