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Monica Gates

Biography:

Monica joined the Adaptive Brain Lab in 2015 as an MPhil student interested in understanding how people extract structure from ambiguous and noisy environments. She is interested in using psychophysics, neuroimaging, and computational modeling to study this question, and is currently pursuing a behavioural study on statistical learning, the implicit detection of patterns from external world statistics. She previously worked as an undergraduate research assistant in Prof. Bevil Conway's lab studying the neural basis of color perception at Wellesley College and M.I.T.

Outside the lab she enjoys rowing and meeting the many other inhabitants of Cambridge.

Research Interests

My current research investigates the learning strategies people use in statistical learning. We seek to understand the mechanisms of implicit learning with the goal of translating these findings to impaired populations.

BRAINfest 2017

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