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Reactivation-induced memory integration prevents proactive interference in perceptual learning
We acquire perceptual skills through experience to adapt ourselves to the changing environment. Accomplishing an effective skill acquisition is a main purpose of perceptual learning research. Given the often observed learning effect specificity, multiple perceptual learnings with shared parameters c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158987/ https://www.ncbi.nlm.nih.gov/pubmed/37129883 http://dx.doi.org/10.1167/jov.23.5.1 |
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author | Huang, Zhibang Niu, Zhimei Li, Sheng |
author_facet | Huang, Zhibang Niu, Zhimei Li, Sheng |
author_sort | Huang, Zhibang |
collection | PubMed |
description | We acquire perceptual skills through experience to adapt ourselves to the changing environment. Accomplishing an effective skill acquisition is a main purpose of perceptual learning research. Given the often observed learning effect specificity, multiple perceptual learnings with shared parameters could serve to improve the generalization of the learning effect. However, the interference between the overlapping memory traces of different learnings may impede this effort. Here, we trained human participants on an orientation discrimination task. We observed a proactive interference effect that the first training blocked the second training at its untrained location. This was a more pronounced effect than the well-known location specificity in perceptual learning. We introduced a short reactivation of the first training before the second training and successfully eliminated the proactive interference when the second training was inside the reconsolidation time window of the reactivated first training. Interestingly, we found that practicing an irrelevant task at the location of the second training immediately after the reactivation of the first training could also restore the effect of the second training but in a smaller magnitude, even if the second training was conducted outside of the reconsolidation window. We proposed a two-level mechanism of reactivation-induced memory integration to account for these results. The reactivation-based procedure could integrate either the previously trained and untrained locations or the two trainings at these locations, depending on the activated representations during the reconsolidation process. The findings provide us with new insight into the roles of long-term memory mechanisms in perceptual learning. |
format | Online Article Text |
id | pubmed-10158987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-101589872023-05-05 Reactivation-induced memory integration prevents proactive interference in perceptual learning Huang, Zhibang Niu, Zhimei Li, Sheng J Vis Article We acquire perceptual skills through experience to adapt ourselves to the changing environment. Accomplishing an effective skill acquisition is a main purpose of perceptual learning research. Given the often observed learning effect specificity, multiple perceptual learnings with shared parameters could serve to improve the generalization of the learning effect. However, the interference between the overlapping memory traces of different learnings may impede this effort. Here, we trained human participants on an orientation discrimination task. We observed a proactive interference effect that the first training blocked the second training at its untrained location. This was a more pronounced effect than the well-known location specificity in perceptual learning. We introduced a short reactivation of the first training before the second training and successfully eliminated the proactive interference when the second training was inside the reconsolidation time window of the reactivated first training. Interestingly, we found that practicing an irrelevant task at the location of the second training immediately after the reactivation of the first training could also restore the effect of the second training but in a smaller magnitude, even if the second training was conducted outside of the reconsolidation window. We proposed a two-level mechanism of reactivation-induced memory integration to account for these results. The reactivation-based procedure could integrate either the previously trained and untrained locations or the two trainings at these locations, depending on the activated representations during the reconsolidation process. The findings provide us with new insight into the roles of long-term memory mechanisms in perceptual learning. The Association for Research in Vision and Ophthalmology 2023-05-02 /pmc/articles/PMC10158987/ /pubmed/37129883 http://dx.doi.org/10.1167/jov.23.5.1 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Article Huang, Zhibang Niu, Zhimei Li, Sheng Reactivation-induced memory integration prevents proactive interference in perceptual learning |
title | Reactivation-induced memory integration prevents proactive interference in perceptual learning |
title_full | Reactivation-induced memory integration prevents proactive interference in perceptual learning |
title_fullStr | Reactivation-induced memory integration prevents proactive interference in perceptual learning |
title_full_unstemmed | Reactivation-induced memory integration prevents proactive interference in perceptual learning |
title_short | Reactivation-induced memory integration prevents proactive interference in perceptual learning |
title_sort | reactivation-induced memory integration prevents proactive interference in perceptual learning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158987/ https://www.ncbi.nlm.nih.gov/pubmed/37129883 http://dx.doi.org/10.1167/jov.23.5.1 |
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