UC San Diego engineers demonstrate high-speed, all-optical method for recording voltage changes in biological cells ...

For decades, scientists have relied on electrodes and dyes to track the electrical activity of living cells. Now, engineers ...

tsl: a PyTorch library for processing spatiotemporal data.

Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China In specificity, if a comprehensive cognitive function is divided into distinct cognitive processing stages, ...

A clear understanding of the spatiotemporal evolution and driving factors of ecosystem service value (ESV) and the landscape ecological risk index (ERI) can effectively link human well-being and ...

In this study, we propose a novel monocular visual odometry network called Spatiotemporal Dual-stream Network (STDN-VO) with two parallel streams, i.e. spatial stream and temporal stream, to model ...

Researchers have developed a near-infrared (NIR) fluorescent nanosensor capable of simultaneously detecting and ...

Abstract: Recent years have witnessed remarkable advances in spatiotemporal predictive learning, with methods incorporating auxiliary inputs, complex neural architectures, and sophisticated training ...

With the rapid development of natural resource element change monitoring technology based on remote sensing imagery, improving the accuracy of change polygons and reducing false alarms have become key ...

This paper uses Bayesian methods in conjunction with spatiotemporal and zoonotic data to evaluate the odds ratio for two hypotheses regarding the origin of the COVID-19 pandemic, namely, an accidental ...