Tara Julia Hamilton

Western Sydney University, The University of Sydney, University of Technology Sydney

Papers

Total Citations

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About

Tara Julia Hamilton is a leading researcher in neuromorphic engineering and spiking neural networks, with a focus on bridging biological principles with hardware implementation. Her key research areas include neural-inspired computing, anomaly detection, and bio-inspired sensory systems. Hamilton’s most cited work, "A compact neural core for digital implementation of the Neural Engineering Framework" (2014, 13 citations), provides a foundational hardware platform for synthesizing large-scale cognitive systems, enabling advances like the SPAUN brain model. She has also made notable contributions to bio-mimetic systems, as demonstrated in "Directional hearing in a silicon cricket" (2006, 6 citations), which models insect auditory processing for engineering applications. More recently, her paper "A Spiking Neural Network Based Auto-encoder for Anomaly Detection in Streaming Data" (2020, 5 citations) showcases her work in real-time machine learning for cybersecurity and health analytics. Hamilton’s research is distinguished by its integration of neuroscience principles with practical hardware solutions, making her a key figure in the development of efficient, brain-inspired computing systems.