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Updated: May 7, 2026

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
Published on: June 29, 2021
From Feedback-Learning to Semantic Memory: Can Feedback-Related Brain Activity Predict Object-Word Associations?
Christine Albrecht1, Laura Bechtold1, Marta Ghio1
1Faculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Abstract:
This study investigated the neural mechanisms underlying feedback-based learning of novel-object-novel-word associations, focusing on how feedback-locked event-related potentials acquired during learning relate to subsequent memory performance and acquired association strength. Specifically, we examined whether amplitudes of the feedback-related negativity (FRN) and N170 components after immediate or delayed feedback predicted not only free recall and recognition performance, but also N400 priming effects exerted by the novel objects on the novel words as a neural correlate of the strength of the associations acquired through feedback-based learning. Sixty-six healthy young adults learned novel associations receiving either immediate or delayed deterministic feedback, followed by free recall tests and a newly introduced primed recognition task to measure N400 priming effects. Results showed that FRN amplitudes during learning were associated with recognition performance and predicted frontal N400 priming effects, suggesting a link to procedural, automatically retrieved memories. In contrast, N170 amplitudes were related not only to recognition, but also free recall and to general facilitation of semantic retrieval and integration processes, reflected in reduced N400 amplitudes, indicating a role in declarative memory and familiarity-driven processing facilitation. Overall, feedback-based learning elicited robust N400 priming effects, reflecting successful associative integration. However, no consistent effects of feedback timing or valence were observed, likely due to learning strategies adopted based on the deterministic nature of feedback and the anticipation of the memory tasks after learning. These findings highlight distinct contributions of feedback-related ERP components to different forms of memory representations, linking general mechanisms of feedback-based learning to the resulting representations.
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