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 ...

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 ...

In this manuscript, Park et al. developed a multiplexed CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity.

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 ...

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 ...

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 ...

1 Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA 2 Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA ...

The present study explored the effects of word list length during the encoding of visual verbal stimuli. The participants received Latvian nouns in lists of different lengths: short (up to 29), medium ...

Abstract: The most common depictions of graphs are node-link diagrams (NLDs) and matrix-based diagrams (MBDs). Making valid comparisons between these two visualisation techniques is difficult because ...

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 ...