Nuclear magnetic resonance –based co-magnetometers are essential tools for applications ranging from inertial navigation to ...
To capture higher-definition and sharper images of cosmological objects, astronomers sometimes combine the data collected by ...
The goal of this useful study is to examine learning-related changes in neural representations of global and local spatial reference frames in a spatial navigation task. Although the study addresses ...
The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of ...
Different regions of the small ruminant lung exhibit variable susceptibility to specific lung pathologies. Such susceptibility may be reflected in regional lung radiomic features extracted from ...
This valuable study examines the variability in spacing and direction of entorhinal grid cells, providing convincing evidence that such variability helps disambiguate locations within an environment.
Nearly 50 years ago, neuroscientists discovered cells within the brain's hippocampus that store memories of specific locations. These cells also play an important role in storing memories of events, ...
Abstract: Traffic prediction is an essential function of intelligent transportation system for traffic control and autonomous driving. Most existing methods encode traffic spatial and temporal data ...
A recent quantum computing breakthrough has enhanced the scalability and efficiency of quantum computations, moving closer to practical quantum computing advancements. Credit: SciTechDaily.com ...
Abstract: Extracting informative local features in point clouds is crucial for accurately understanding spatial information inside 3D point data. Previous works utilize either complex network designs ...
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