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This lecture explores unconventional microelectronic systems, focusing on challenges and prospects in biomedical and neuromorphic systems. Topics include classical circuit techniques, scaling projections, implantable systems for epilepsy control, neuromorphic systems, and bio-inspired methodologies. The presentation delves into the development of innovative technologies for biomedical applications, such as closed-loop implant systems and charge balancing techniques. The lecture also discusses the future research directions in personalized medicine, increased autonomy of implants, and the integration of neuroscience concepts with deep learning for smart brain-machine interfaces.
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