THE NEURAL AND COMPUTATIONAL MECHANISMS OF PERCEPTION, ATTENTION, AND NEURODIVERSITY

We focus on the neural and computational mechanisms underlying perception and attention, with a particular emphasis on neurodiversity. Using state-of-the-art neuroimaging, computational models, and behavioral assessments, we explore the complex mechanisms that drive our interactions with the environment. Our research integrates a focus on autism and related neurodivergent conditions, aiming to promote understanding and acceptance of neurodiversity.
 

In a new effort to advance neuroscience and AI, we focus on the intersection of neuroimaging and artificial intelligence. We study how spatial information and cognitive processes are represented within multimodal AI systems like GPT-4, comparing these to human cognition to uncover both strengths and limitations. Our use of advanced fMRI encoding models allows for direct comparisons between neural activity and AI representations. This Neuro AI approach enhances our understanding of both human and artificial cognition, contributing to the development of AI systems better aligned with human thought and behavior.