Overview

Our research addresses a central question in cognitive neuroscience: How does general intelligence – the remarkable capacity to solve a wide spectrum of diverse and challenging problems – emerge from the network topology and dynamics of the human connectome? Through an integrative approach that combines cognitive experimentation, computational modeling, high-resolution neuroimaging (3T and 7T MRI), and neuropsychological patient studies, we aim to uncover the neural architecture of intelligence and its contributions to adaptive reasoning and flexible problem solving. Our research seek to achieve a deeper understanding of the neural foundations of intelligence and to enable scientific innovation in cognitive enhancement, neurorehabilitation, and biologically inspired artificial intelligence.

To achieve these objectives, our research pursues three interconnected themes: (1) To understand the network topology and dynamics of human intelligence (Theme 1: Human Intelligence), (2) To identify principles of network organization and plasticity in traumatic brain injury (Theme 2: Traumatic Brain Injury), and (3) To translate advances in neuroscience into personalized interventions to promote cognitive performance and resilience across the lifespan (Theme 3: Scientific Interventions).

0_Research_Page_Image (1)