A systematic comparison of Pearson correlation and three mutual information estimators reveals which similarity measures are most reliable for analyzing...

A new deep learning framework called EEG-SDL-Net combines Kolmogorov–Arnold networks, Sobel-based temporal enhancement, and channel attention to classify EEG signals...

Researchers have shown for the first time at single-cell resolution that the SGLT2 gene is expressed in thirst-promoting NOS1 neurons...

New research on nine MENA countries finds that inequality rooted in rent-seeking institutions is associated with reduced emigration of highly...

A large machine learning analysis of two clinical trial cohorts shows that antidepressants and placebo produce distinct early changes in...

Researchers have developed a geometry-aware oversampling method that uses neural density fields and meta-learning to generate synthetic minority-class samples adapted...

A new controlled evaluation finds that Neuro-Physiological Psychotherapy produces significant and sustained improvements in executive functioning and behaviour for adopted...

A new review from Tianjin University researchers charts how intracortical microstimulation is evolving from a brain-mapping tool into a foundation...

Researchers developed separate blood protein risk scores for men and women with hypertension that significantly improve ten-year prediction of heart...

Researchers have built a machine learning model that diagnoses dementia and predicts its onset up to ten years ahead using...