Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Introduction Mindfulness-based interventions are widely used, yet concerns about potential negative effects—particularly those related to mindfulness meditation practice—have gained increasing ...

This study presents important findings for the understanding of central brain circuits that underlie nociception-induced escape. Using a laser-based nociception assay, chronic neuronal silencing, ...

Abstract: Typically, deep network-based full-reference image quality assessment (FR-IQA) models compare deep features from reference and distorted images pairwise, overlooking correlations among ...

Abstract: Point cloud registration is a central theme in computer vision, with alignment algorithms continuously improving for greater robustness. Commonly used methods evaluate Euclidean distances ...

Millions of DISH Network subscribers across the U.S. continue to experience a widespread blackout that began March 10 after contract negotiations between DISH Network and Gray Media collapsed. The ...