Covers advancements in neurotechnology for enhancing sensory feedback in prosthetic devices, focusing on texture perception and cognitive load effects on performance.
Explores motor neuroprosthetics, covering peripheral nervous system, motor decoding, robotic hands, and sensory feedback through advanced techniques and implantable systems.
Explores the synergy between machine learning and neuroscience, showcasing how deep neural networks can predict neural responses and the challenges faced by AI in robotics.
