Home Department: Mathematics
Mentor: Shaul Druckmann, Neurobiology and Psychiatry & Behavioral Sciences

Jack will combine approaches from machine learning, neuroscience, and mathematics to better understand how neural circuits process information in a recurrent manner.  This will give important insight into how neural networks use previous experiences to make predictions about a person’s environment, which can bring greater understanding of situations such as why certain people are more incentivized to learn when unsupervised compared to others.