Luke Prince is a postdoctoral research fellow in the Learning in Neural Circuits Lab at the University of Toronto. Following his love of all things to do with memory, brains, and neural networks, he studied for a PhD in Neural Dynamics at the University from Bristol, and an MSc in Artificial Intelligence from the University of Edinburgh.
Luke’s research has primarily focused on neural mechanisms of learning and memory. During his PhD he studied mechanisms through which the neurotransmitter acetylcholine could alter synaptic plasticity and promote memory formation in the hippocampus. His postdoctoral research has started to look deeper into how behaviour is driven by newly formed memories, and how neural circuits are altered by experiences.
Luke is deeply invested in keeping up-to-date with advances in machine learning to help him better understand the brain. He regularly applies his knowledge of artificial intelligence to develop models of brain function and analyse neural data. He has developed probabilistic models of synaptic transmission, deep neural network models of neural activity, and models of information coding in cortical cells.
Luke is always keen to discuss new ideas about the brain and to reach out to tech startups who want to learn more about AI. Reach out to him if you have a problem you want to discuss with him, or if you want him to speak at your event.