This review offers an accessible primer to social neuroscientists interested in neural
networks. It begins by providing an overview of key concepts in deep learning. It then …

The visual system extracts meaning from retinal inputs and computes representations rich
enough to guide actions, inform world models, and allow verbal communication. Classic …

When processing language, the brain is thought to deploy specialized computations to
construct meaning from complex linguistic structures. Recently, artificial neural networks …

Grandparents play a critical role in child rearing across the globe. Yet, there is a shortage of
neurobiological research examining the relationship between grandparents and their …

What is appropriateness? Humans navigate a multi-scale mosaic of interlocking notions of
what is appropriate for different situations. We act one way with our friends, another with our …

Storytelling—an ancient way for humans to share individual experiences with others—has
been found to induce neural alignment among listeners. In exploring the dynamic …

When we pay attention to someone, do we focus only on the sound they make, the word they
use, or do we form a mental space shared with the speaker we want to pay attention to …

The recent surge in the capabilities of Large Language Models (LLMs) has led to claims that
they are approaching a level of creativity akin to human capabilities. This idea has sparked a …

This paper suggests that affective computing can achieve linguistic and cultural grounding of
human knowledge about emotions, in combination of emotion concepts' diachronic depths …

Recent studies have shown that large language models (LLMs) can accurately predict
neural activity measured using electrocorticography (ECoG) during natural language …