The researcher has focused on understanding and quantifying the relationship between human behavior and brain connectivity through advanced statistical methods, combining longitudinal and cross-sectional data. Their work employs computational approaches to explore how neural activity correlates with human actions, aiming to develop robust theoretical frameworks that test hypotheses about the neural basis of behavioral patterns across different time scales.
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This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.