The Lab

Audrey Sederberg

PI

Avishek Chatterjee

Postdoc

I aim to explore how mathematical models intersect with our understanding of cognitive processes in complex decision-making tasks and the criticality of the brain in studying the network of neurons and their phase transitions. Beyond the code and brainwaves, you’ll catch me with a camera in hand, trying to freeze time one snapshot at a time.

Keith Van Antwerp

Research Engineer

I explore neural structure-function in the mouse cortex through latent dynamics of spiking neural activity as a feature to predict or be predicted by digital 3D brain cell atlas area (structural) features.

Luna Kettlewell

Graduate Student

I’m a computationally-focused graduate student interested in how the brain develops networks that can perceive the world. In my free time, you can find me baking bread, playing a video game, or climbing a wall somewhere.

Rachel Dick

Graduate Student

I am a graduate student exploring how individual neurons in the medial prefrontal cortex become disconnected as a result of NMDA receptor loss, which is a biomarker of schizophrenia. My work leverages single-cell measurements from patch clamp electrophysiology recordings to inform network-level estimates of population activity using computational models of the brain. I am passionate about enhancing our basic science understanding of psychiatric disorders in order to guide the development of better treatments for patients. Outside the lab, I love baking elaborate desserts, running with friends, doing grassroots democracy organizing, and tending to my small jungle of houseplants.

Joe Emerson

Graduate Student

I am a PhD candidate working on understanding the mechanisms of visual perception. My primary focus lies in constructing detailed, implementation-level computational models of the primary visual cortex. This work is informed by cutting-edge neuroimaging techniques, notably 2-photon calcium imaging and functional magnetic resonance imaging. My projects are particularly centered on understanding how scene context affects the representation of local visual features. This research offers valuable insights into visual processing, specifically by illuminating the visual system’s remarkable capacity for prediction and inference. Outside of the lab, I’m an experienced percussionist and a novice guitarist, and enjoy playing rock and folk music.

Sam Brunson

Graduate Student

I am a graduate student interested in using computational modeling to understand how various regions of the brain contribute to cognitive processes, and how those processes are interrupted in mental illnesses such as schizophrenia. I use techniques including Hidden Markov Modeling to analyze neural population data from nonhuman primates performing cognitive tasks. When I’m not in lab, I enjoy cooking, hiking, crocheting, and reading.