Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores the potential of graphene in developing efficient neural interfaces with the nervous system, addressing current challenges and discussing various graphene-based technologies.
Covers advancements in neurotechnology for enhancing sensory feedback in prosthetic devices, focusing on texture perception and cognitive load effects on performance.
Covers methods to restore conscious visual perception by projecting images directly onto the visual brain, bypassing the eyes, particularly for blind patients.
Explores the integration of silicon membranes into deformable structures and the creation of neural implants with electronic components directly at the electrode array level.
