Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
Science

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...
BIOENGINEER

New Training-Free Denoiser Tames Heavy-Tailed Image Noise Without Machine Learning

A new training-free algorithm called LORIS cleans Cauchy noise from images using adaptive median centering and Cauchy-IRLS ...
BIOENGINEER

Machine Learning Spots Toxic Dye in Henna With Light Alone

Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic ...
Science

Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex

Natural scenes are complex arrangements of objects, surfaces, and backgrounds. For the brain’s visual system to effectively operate, it needs to extract not only what objects are present but also ...