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Maggie Henderson's research focuses on human visual perception and aims to understand how visual perception reflects the structure of the world we live in, thereby guiding adaptive everyday behavior. She investigates how to compute meaningful, high-level information from noisy visual inputs while taking into account the experience and statistics of the environment. Key questions addressed in her work include how representations adapt to changes in goals and internal states. To tackle these questions, she employs experimental techniques such as functional magnetic resonance imaging (fMRI) and behavioral studies conducted on healthy human participants. Additionally, she utilizes computational approaches involving modeling applied fMRI and behavioral data, along with in-silico experiments using artificial neural network models.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.