FURI | Spring 2018
Utilization of Neuromorphic Computing Principles for Designing Biological Neurons in CMOS ICs
Since the human brain’s computational capabilities are far beyond that of traditional Von Neumann architectures, neuromorphic computing systems built with hardware designed to function like biological neurons is becoming increasingly recognized as one of the next great potential leaps in computing. Brain-inspired systems offer the combined advantages of increased speed, while also significantly decreasing the need for large amounts of power and memory. This project aims to contribute to this field and its applications by designing CMOS Leaky Integrate-and-Fire circuits, integrating memristor technology to mimic synaptic learning and in doing so, laying the foundation for neuro-inspired computing systems.
Hometown: Portland, Oregon, In
Graduation date: Spring 2018