All Projects
Multiscale Brain Organisation
Investigates how neural systems organize across multiple scales, from local circuits to global network dynamics. This project integrates computational models with empirical neurobiological data to understand principles of brain organization.
Thalamocortical Selection
Examines the mechanisms of selective attention through the lens of thalamocortical circuitry. Explores how the thalamus gates information flow to cortex and mediates competitive selection between behavioral alternatives.
AAS + Gain Modulation
Studies how gain modulation in ascending arousal systems affects neural computation and behavior. Combines theoretical models of gain control with experimental measurements to understand how arousal states modulate sensory and motor processing.
Delegation to Automaticity
Investigates the neural mechanisms by which cognitive control is gradually transferred from attention-demanding systems to automatic/subcortical systems during skill learning. Tracks circuit reorganization as behaviors transition from conscious to unconscious processing.
Time-varying Network Reconfiguration
Develops methods to characterize how brain networks dynamically reorganize over behavioral timescales. Combines high-resolution neuroimaging with computational analysis to identify principles governing temporal network reconfigurations.
Cross-species Neurodynamics
Compares neural dynamics and circuit organization across species to identify conserved and divergent principles of brain function. Uses comparative analysis to understand fundamental constraints on neural computation.
Neural basis of Neurodegeneration
Explores how degenerative processes alter neural circuits and brain dynamics in age-related and neurodegenerative conditions. Uses imaging and computational modeling to identify early signatures of neurodegeneration and test intervention strategies.
