This research investigates the neural mechanisms underlying fraction processing using advanced electrophysiological methods. Understanding how people access fraction magnitude is crucial for mathematics education, as fractions represent a fundamental gateway to higher-level mathematical concepts like algebra, yet remain one of the most challenging topics for students from elementary school through college.

Building on traditional ERP analysis, this project applies cross-generalization decoding techniques to test whether neural representations of fraction magnitude are abstract or tied to specific surface forms. This approach can determine whether brain patterns learned from one fraction notation (e.g., 2/4) can successfully predict equivalent fractions in different forms (e.g., 3/6, 4/8).