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Anterograde Interference in Multitask Perceptual Learning

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Title: Anterograde Interference in Multitask Perceptual Learning
Language: English
Authors: Jia Yang, Fang-Fang Yan, Tingting Wang, Zile Wang, Qingshang Ma, Jinmei Xiao, Xianyuan Yang, Zhong-Lin Lu, Chang-Bing Huang
Source: npj Science of Learning. 2025 10.
Availability: Nature Portfolio. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://www.nature.com/npjscilearn/
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Sequential Learning, Interference (Learning), Prior Learning, Perceptual Motor Learning, Foreign Countries, Young Adults, Retention (Psychology)
Geographic Terms: China
DOI: 10.1038/s41539-025-00312-7
ISSN: 2056-7936
Abstract: Learning to perform multiple tasks robustly is a crucial facet of human intelligence, yet its mechanisms remain elusive. Here, we formulated four hypotheses concerning task interactions and investigated them by analyzing training sequence effects through a continual learning framework. Forty-nine subjects learned seven tasks sequentially, each of the seven groups following a distinct sequence. Results showed that subjects learning a task later in a sequence exhibited poorer performance in six tasks (Contrast, Vernier, Face, Motion, Auditory, and N-back tasks, except for the Shape task) compared to those who learned this task earlier. Interestingly, sequence position had minimal impact on forgetting. A complementary dual-task experiment corroborated these findings. Through detailed analyses of session and block learning curves, we revealed task-specific anterograde interference, but no retrograde interference. These findings support the integrated reweighting theory and shed light on the meta-plasticity mechanism governing how human brain balances plasticity and stability.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1470680
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Jia+Yang%22">Jia Yang</searchLink><br /><searchLink fieldCode="AR" term="%22Fang-Fang+Yan%22">Fang-Fang Yan</searchLink><br /><searchLink fieldCode="AR" term="%22Tingting+Wang%22">Tingting Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Zile+Wang%22">Zile Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Qingshang+Ma%22">Qingshang Ma</searchLink><br /><searchLink fieldCode="AR" term="%22Jinmei+Xiao%22">Jinmei Xiao</searchLink><br /><searchLink fieldCode="AR" term="%22Xianyuan+Yang%22">Xianyuan Yang</searchLink><br /><searchLink fieldCode="AR" term="%22Zhong-Lin+Lu%22">Zhong-Lin Lu</searchLink><br /><searchLink fieldCode="AR" term="%22Chang-Bing+Huang%22">Chang-Bing Huang</searchLink>
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  Data: Nature Portfolio. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://www.nature.com/npjscilearn/
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  Data: Learning to perform multiple tasks robustly is a crucial facet of human intelligence, yet its mechanisms remain elusive. Here, we formulated four hypotheses concerning task interactions and investigated them by analyzing training sequence effects through a continual learning framework. Forty-nine subjects learned seven tasks sequentially, each of the seven groups following a distinct sequence. Results showed that subjects learning a task later in a sequence exhibited poorer performance in six tasks (Contrast, Vernier, Face, Motion, Auditory, and N-back tasks, except for the Shape task) compared to those who learned this task earlier. Interestingly, sequence position had minimal impact on forgetting. A complementary dual-task experiment corroborated these findings. Through detailed analyses of session and block learning curves, we revealed task-specific anterograde interference, but no retrograde interference. These findings support the integrated reweighting theory and shed light on the meta-plasticity mechanism governing how human brain balances plasticity and stability.
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