Stanford Interdisciplinary Graduate Fellowships (SIGFs)

Constipation and diarrhea, caused by aberrant water absorption in the colon, impose substantial health burdens. The enteric nervous system (ENS) harbors a specialized circuit for water absorption, the secretomotor/vasodilator circuit, but its role in the proximal colon remains poorly understood.

The medial entorhinal cortex (MEC), the brain’s “inner GPS”, contains an internal map of external space. Rather than representing a static spatial map, however, MEC neurons can spontaneously switch between multiple maps (Low et al., 2021). In this project, we will investigate if spontaneous map switches reflect changes in an animal’s latent internal state.

Understanding representational drift—the brain’s evolving representation of its environment—is pivotal to gaining insights into neural computation. Despite its significance, the study of representational drift has been constrained by the scarcity of suitable datasets and methods.

Parkinson’s disease (PD) is a complex, heterogeneous neurodegenerative disorder whose prevalence is increasing rapidly. Not only do patients experience motor symptoms, but many experience debilitating nonmotor symptoms caused by peripheral degeneration in the autonomic nervous system, including atrophy of the vagus nerve, and the enteric nervous system.

Behavioral state—such as alertness or exhaustion—dramatically impacts how our brains function. Yet, in spite of the key role that it plays in cognition, how behavioral state influences brain function remains a central mystery in neuroscience.

We propose a novel framework for efficient Bayesian cognition called Inference via Abstraction (IvA), which learns to approximate complex world models with simpler abstractions that capture main dependencies, but leverage structure in the prior distribution for efficient inference. We instantiate IvA with a combination of probabilistic graphical models and deep neural networks.

Many neurological diseases feature the death of neurons, but the mechanisms that mediate cell death in these disorders are unknown. Astrogliosis, the response of a cell-type called “astrocytes” to injury, is common to most diseases of the central nervous system (CNS), and recent studies in our lab suggest that some reactive astrocytes may release a protein that is potently toxic to neurons.

In the course of everyday functioning, animals (including humans) are constantly faced with real-world environments in which they are required to shift unpredictably between multiple, sometimes unfamiliar, tasks. But how brains support this rapid adaptation of decision making schema, and how they allocate resources towards learning novel tasks is largely unknown both neuroscientifically and algorithmically.