Cognitive Control

Cognitive control research investigates the brain's mechanisms for directing attention, managing information, and making decisions, aiming to understand how these processes support flexible and goal-directed behavior. Current research emphasizes the role of attentional mechanisms, often modeled using transformer-based architectures and diffusion models, in tasks ranging from visual search to complex video editing and text-to-image generation. These studies leverage attention control to improve the fidelity and efficiency of these processes, revealing insights into both human cognition and the development of more robust artificial intelligence systems. The findings have implications for enhancing human performance in demanding tasks (e.g., pilot training) and for creating more sophisticated and semantically accurate AI systems.