By Logan Peters, Ph.D. Candidate

Making decisions is a fundamental part of our daily lives, from choosing what to eat for
lunch to deciding which movie to watch. Each time we make one of these decisions, the
neurons in our brain need to compute the comparative value of each of the decision
options and decide when sufficient evaluation has taken place. In this talk, I will discuss
my work using machine learning models to understand how neural population dynamics
encode the decision-making process. I will cover my work using linear dynamical
systems models and interpretable temporal convolutional networks to identify the neural
dynamics underpinning choice evaluation and the timing of decision making.