Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

A unified foundation model for medical time series — pretrained on open access and ethics board-approved medical corpora — offers the potential to reduce annotation burdens, minimize model ...

An automated, configurable web application for time series forecasting using statistical and machine learning models. time_series_app/ ├── app.py ├── data/ │ └── uploaded_data.py ├── preprocessing/ │ ...

Americans seem to like shows about drug runners almost as much as they like the drugs themselves. And while many of the greatest narco stories are police procedurals like “The Wire,” there are a ...

A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and tech leaders including Google Research and Amazon, have ...

This view of NASA’s Ingenuity Mars Helicopter was generated using data collected by the Mastcam-Z instrument aboard the agency’s Perseverance Mars rover on Aug. 2, 2023, the 871st Martian day, or sol, ...

Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical ...

Abstract: Time series analysis has emerged as a critical tool across diverse fields such as finance, energy, healthcare, and environmental studies, enabling researchers to model and forecast temporal ...