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Explores the use of FNES in understanding deafness and brain plasticity in cochlear implant patients, highlighting the correlation between FNES data and speech understanding.
Covers controlling behavior in animals and robots through oral presentations, computational exercises, and a mini-project for hands-on neuroscientific discovery.
Explores the evolution of vision theories and visual feedback systems, including bottom-up and top-down approaches, and iterative error feedback for human pose estimation.
Explores the potential of graphene in developing efficient neural interfaces with the nervous system, addressing current challenges and discussing various graphene-based technologies.
