For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

The natural world is a rich source of inspiration for developing sophisticated computational systems, and the opposite is also true, with bioinformatics approaches providing keen insight into ...

Token incentive models are one of the most characteristic mechanisms of blockchain-based systems. They define the way participants are rewarded, the way the networks expand, and the way sustainability ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...

In the development of a new power system dominated by green energy, green electricity has become a standardized commodity circulating nationwide through market mechanisms. The role of green ...

A team of forest officials had launched action against alleged unauthorised excavation and road construction within the forest boundary. While the officials were transporting the seized machines, Shiv ...