Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

Discoveries over the past two decades demonstrate that regions distributed throughout the
association cortex, often called the default network, are suppressed during tasks that …

The prefrontal cortex (PFC) plays a critical role in the generation and regulation of emotion.
However, we lack an integrative framework for understanding how different emotion-related …

How can we leverage digital technologies to enhance language learning and bilingual
representation? In this digital era, our theories and practices for the learning and teaching of …

Cognitive Development and Cognitive Neuroscience: The Learning Brain is a thoroughly
revised edition of the bestselling Cognitive Development. The new edition of this full-colour …

Though only a decade has elapsed since the default network (DN) was first defined as a
large‐scale brain system, recent years have brought great insight into the network's adaptive …

We meta-analyzed imaging studies on theory of mind and formed individual task groups
based on stimuli and instructions. Overlap in brain activation between all task groups was …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

How does our brain choose the best course of action? Choices between material goods are
thought to be steered by neural value signals that encode the rewarding properties of the …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …