Focuses on the development of 'eSee-Shells', chronic multimodal neural interface devices using transparent, inkjet-printed electrocorticography (ECoG) arrays.
Covers neuromodulation therapies designed to restore walking in individuals with spinal cord injuries and explores their implications for other neurological disorders.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Covers advancements in neurotechnology for enhancing sensory feedback in prosthetic devices, focusing on texture perception and cognitive load effects on performance.
