The main focus of existing Multimodal Large Language Models (MLLMs) is on individual image interpretation, which restricts their ability to tackle tasks involving many images. These challenges demand ...

Introduction: When visualizing complex data, the layout method chosen can greatly affect the ability to identify outliers, spot incorrect modeling assumptions, or recognize unexpected patterns.

Motion is characterized by a series of positions an object traverses over time. An object presented sequentially at two positions, with a time delay between them, is sufficient for us to perceive ...

Researchers have been aware for long that certain regions of the brain get activated when people view particular images. However, it's been unclear whether such specialization also exists for visual ...

Abstract: Constructing visual encoding model is an important way to understand the human visual system. Data-driven encoding models learn features by directly fitting neural data, providing novel ...

Influential models of visual working memory treat each item to be stored as an independent unit and assume that there are no interactions between items. However, real-world displays have structure ...

Abstract: Visual encoding models and visual decoding models are all used for revealing the relationship of external visual stimuli and brain activities. On the view of the goal, visual encoding and ...

How is temporal information processed in human visual cortex? To address this question, we used fMRI and a two temporal channel-encoding model. This approach not only explains cortical responses for ...

Version of Record: This is the final version of the article. The authors have investigated the role of GAT3 in the visual system. First, they have developed a CRISPR/Cas9-based approach to locally ...