Visual autoregressive (VAR) models generate images through next-scale prediction, naturally achieving coarse-to-fine, fast, high-fidelity synthesis mirroring human perception. In practice, this ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

Abstract: In this work we study the identification of spatial correlation in distributions of 2D scalar fields, presented across different forms of visual displays. We study simple visual displays ...

Understanding how the brain builds internal representations of the visual world is one of the most fascinating challenges in neuroscience. Over the past decade, deep learning has reshaped computer ...

Depending on the sensory processing disorder (SPD), the best assistive devices for specific conditions can range from low-tech options to more advanced ones. Either way, the devices should engage the ...

Several years ago, I took a cognitive test battery because I was feeling that my brain was starting to encounter problems with memory and information processing. The results showed that my major ...

Made of silicon, these in-sensor visual processing arrays can both capture and process visual data in the analog domain, as opposed to conventional systems that often physically separate these ...

Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, silicon-based hardware that can both capture and process visual data in the ...

A study of table tennis players in China found that 36 hours of sleep deprivation prolonged their reaction time and reduced attention and cognitive processing capacity. Functional connectivity between ...

This study reveals a crucial link between covert spatial attention, object processing, and microsaccades (MSs). While spatial attention alone does not affect tuning curves of V4 neurons, MSs directed ...