Explores the importance of real-time sensory feedback in enhancing the control and functional impact of prosthetic hands through various neuroengineering methods.
Covers neuroengineering techniques for restoring sensory feedback in bionic prostheses, focusing on electrode design and targeted muscle reinnervation.
Explores neuroprostheses for sensory systems, including auditory, vestibular, vision, and tactile applications, addressing the challenges of artificial vision.
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.
