Perceptual Learning with Complex Objects: A Comparison between Full-Practice Training and Memory Reactivation.
Chiu-Yueh Chen,Hans Op de Beeck +1 more
TL;DR: In this paper, a pre-registered study investigates whether memory reactivation induces improvements in a visual object learning task that includes more complex visual stimuli and finds that reactivation has a smaller effect relative to large amounts of practice.
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Abstract: Perception improves with repeated exposure. Evidence has shown object recognition can be improved by training for multiple days in adults. Recently, a study of Amar-Halpert et al. (2017) has compared the learning effect of repetitive and brief, at-threshold training on a discrimination task and reported similar improvement in both groups. The finding is interpreted as evidence that memory reactivation benefits discrimination learning. This raises the question how this process might influence different perceptual tasks, including tasks with more complex visual stimuli. Here, this preregistered study investigates whether reactivation induces improvements in a visual object learning task that includes more complex visual stimuli. Participants were trained to recognize a set of objects during 5 d of training. After the initial training, a group was trained with repeated practice, the other a few near-threshold reactivation trials. In both groups, we found improved object recognition at brief exposure durations. Traditional intense training shows a daily improvement; however, the group with reactivation does not reach the same level of improvement. Our findings show that reactivation has a smaller effect relative to large amounts of practice.
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Citations
Reactivation-induced memory integration prevents proactive interference in perceptual learning
Zhibang Huang,Zhimei Niu,Sheng Li +2 more
TL;DR: It is demonstrated that reactivation could facilitate the integration of multiple perceptual trainings at two levels, depending on the activated representations during the reconsolidation process.
Reactivation-induced memory integration prevents proactive interference in perceptual learning
Eleonora Celli Carioca Arenare
- 05 Sep 2022
TL;DR: In this article , a two-level mechanism of reactivation-induced memory integration was proposed to integrate previously trained and untrained locations or the two trainings at these locations, depending on the activated representations during the reconsolidation process.
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