Explaining the neural mechanisms underlying language-based, spontaneous categorization of visual words of alphabetic and non-alphabetic languages by combining electroencephalography, ...

A spate of new studies is revealing the lifelong impact of being marked as exceptional during childhood – and the results ...

Yet another senior AI researcher has set out on his own to explore AI approaches distinct from LLMs. Richard Sutton, the University ...

ACC contains specialized neurons that sustain rich action-relevant information after action execution, enabling prolonged action monitoring, and supporting complex associative linking across events.

Summary: By pairing virtual reality (VR) eye-tracking headsets with advanced machine learning and Large Language Models (LLMs), the research team discovered that our eyes are driven by deep ...

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...

Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...

Long COVID has debilitating effects but is inconsistently diagnosed because of subjective criteria, limited treatments, and variations in health care access. We analyzed electronic health records from ...

Abstract: Probabilistic forecasting of multivariate time series is essential for various downstream tasks. Most existing approaches rely on the sequences being uniformly spaced and aligned across all ...

Abstract: Computational models can advance affective science by shedding light onto the interplay between cognition and emotion from an information processing point of view. We propose a computational ...