Explores dynamic functional connectivity methods in fMRI, emphasizing the identification of multiple brain states and their applications in understanding brain disorders.
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores the integration of brain structure and function using Graph Signal Processing techniques, including functional MRI and structural connectome analysis.
Explores topological waves for robust signal processing applications, focusing on resistance to perturbations and the design paradigm of topological systems.
