MD, PhD (Cantab)
- Wellcome Trust Named Research Associate
Dr Fei-Yang Huang obtained his PhD in Neurophysiology from the University of Cambridge (Queens' College) and his MD from National Taiwan University with a minor degree in Economics. He combines behavioural theories, neurophysiology recording, and computational modelling to discover how the brain performs complex cognitive functions, in particular learning and decision-making.
His current research focuses on how the brain processes nutrient information to make food choices. In particular, he studies behavioural and neuronal mechanisms underlying food choices by training animals to choose from nutrient-defined food options in controlled laboratory setting and record single-neuron activities during decision-making. He integrates decision theories from economics, psychology, and ecology, to conceptualise decisions observed in animals and applies computational methods to uncover the decision computation in single neurons and neural circuits. This approach provides unique insights into how animals flexibly control nutrient intake and suggest possible neural intervention for human overeating and obesity.
Preferences for nutrients and sensory food qualities identify biological sources of economic values in monkeys.
Huang F-Y. et al, (2021), Proc Natl Acad Sci U S A, 118
Nutrient-sensitive reinforcement learning in monkeys
Huang F-Y. and Grabenhorst F., (2021)