How do brains turn environmental inputs into motor outputs? This question, known as the “black box” problem, has left ...

Children’s eyes may hold the secret to how they learn from videos, and new research suggests artificial intelligence could unlock it. By pairing eye-tracking technology with advanced neural networks, ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...

This study provides an important set of analyses and theoretical derivations to understand the mechanisms used by recurrent neural networks (RNNs) to perform context-dependent accumulation of evidence ...

ABSTRACT: Music plays a significant role in human emotions and psychological well-being. This study examines the associations between music listening habits and mental health conditions, including ...

Background: Accurate differentiation of parkinsonian syndromes remains challenging due to overlapping clinical manifestations and subtle neuroimaging variations. This study introduces an explainable ...

Abstract: The excellent performance of graph neural networks (GNNs), which learn node representations by aggregating their neighborhood information, led to their use in various graph tasks. However, ...

ABSTRACT: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...