Explores motor neuroprosthetics, covering topics like amputation causes, EMG decoding, robotic hands, sensory feedback, and advanced control techniques.
Explores Graph Signal Processing applied to brain networks, emphasizing the relationship between brain function and structure using methods like Graph Fourier Transform and Structural-Decoupling Index.
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 local field potentials and neural oscillations, emphasizing the role of theta rhythms in memory processes and the impact of computer simulations on neuroscience research.