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Marc Howard is a Professor in the Department of Psychological and Brain Sciences with a focus on developing mathematical models to understand cognition. His research explores the evaluation of behavioral and neurophysiological data to bridge cognition with systems-level neuroscience. His current work investigates episodic memory and its connection to spatiotemporal contexts. Specifically, he is working on creating a unified mathematical framework that describes the constructs of the brain associated with episodic memory. This work not only has theoretical implications but also leads to new areas of inquiry in statistical learning, semantic memory, time perception, and reward systems. His studies utilize a combination of mathematical, computational, and behavioral tools to test hypotheses, providing insights into how memories are formed and recalled.
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