Normative frameworks such as Bayesian inference and reward-based learning are useful
tools for explaining the fundamental principles of adaptive behavior. However, their ability to …

Understanding how the collective activity of neural populations relates to computation and
ultimately behavior is a key goal in neuroscience. To this end, statistical methods which …

Normative modeling frameworks such as Bayesian inference and reinforcement learning
provide valuable insights into the fundamental principles governing adaptive behavior …

Animal brains are composed of large numbers of neurons, whose time-varying activity is
shaped by their recurrent connections.% neurons are connected. Recent advances in …

During navigation in dynamic environments, animals adaptively incorporate sensory
information into a plan to guide their movements. The neural underpinning of this behavior …

Patterns of microcircuitry suggest that the brain has an array of repeated canonical
computational units. Yet neural representations are distributed, so the relevant computations …