معرفی
Will Greedy serves as a Research Fellow in the Department of Physiology, Anatomy and Genetics at the University of Oxford, where he is an integral member of the Costa Research Group. His position bridges computational modeling and experimental neuroscience within the university's Medical Sciences Division.
Dr. Greedy's research program focuses on reconciling artificial learning systems with biological neural constraints. He investigates how core machine learning principles—particularly backpropagation and gradient-based optimization—can be implemented in cortical circuits through biologically plausible mechanisms. His work leverages dendritic processing, interneuron-mediated feedback, and burst dynamics to develop multiplexed error coding in multilayer networks, advancing our understanding of credit assignment in the brain.
Affiliated with the Costa Group laboratory, he contributes to interdisciplinary projects that merge neural computation theories with empirical neuroscience, fostering collaborations between computer scientists and biologists to decode learning algorithms in biological systems.
