ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2026, Vol. 34 ›› Issue (12): 2295-2308.doi: 10.3724/SP.J.1042.2026.2295 cstr: 32111.14.2026.2295

• 研究前沿 • 上一篇    下一篇

词汇快速映射学习的认知神经机制

王艺璇, 杨剑峰   

  1. 陕西师范大学心理学院, 西安 710062
  • 收稿日期:2026-01-21 出版日期:2026-12-15 发布日期:2026-09-30
  • 通讯作者: 杨剑峰, E-mail: yangjf@snnu.edu.cn
  • 基金资助:
    国家科技创新2030 (2021ZD0200500)

The cognitive and neural mechanisms of vocabulary fast mapping

WANG Yixuan, YANG Jianfeng   

  1. School of Psychology, Shaanxi Normal University, Xi’an 710062, China
  • Received:2026-01-21 Online:2026-12-15 Published:2026-09-30

摘要: 词汇的快速映射学习是指通过排除已知词汇, 快速建立新词与指称对象联结的学习方式。这种学习可以不需要长期的记忆巩固而快速建立新词与客体联结的皮层记忆, 而且学习效应持续得更久, 从而受到了研究者的广泛关注。文中系统梳理与总结了词汇快速映射学习的优势、认知机制以及神经基础的最新进展, 深入分析了快速映射学习的独特性、不同类型词汇学习的差异性、对传统学习理论的挑战三个方面的争论问题, 尤其是对快速映射学习与当前学习理论的关系进行探讨, 尝试以系统重组的视角解释快速映射学习, 并指明了词汇快速映射学习乃至学习与记忆理论研究的新方向。

关键词: 词汇学习, 快速映射, 学习理论

Abstract: Fast mapping (FM) learning refers to a learning strategy through which learners quickly establish a connection between a novel word and its referent by excluding known words. The concept of “fast mapping” originates from children’s learning of native language vocabulary, in which 3- to 4-year-old children are able to establish the association between a new word (chromium) and an object (olive green) by excluding a known word (red), thus realizing the rapid acquisition of the meaning of a new word. Research on FM learning suggests that new words can rapidly form neural representations in the brain, challenging traditional learning theories and attracting considerable research interest.
The current paper reviews recent advances in FM learning from three aspects. First, FM learning demonstrates marked advantages over explicit encoding learning. From infancy, children can rapidly acquire new words through this mechanism; and in adults, FM learning similarly supports the rapid formation and long-term maintenance of word-object associations, with memory exhibiting slower decay and greater stability over time. Second, the underlying cognitive mechanisms of FM learning are examined in detail with reference to its key moderating factors. Specifically, from the perspective of exclusion-based reasoning during the learning process, it is demonstrated that disambiguation contributes to vocabulary acquisition, and that the mechanisms of active decision-making and response selection further facilitate the learning outcomes of FM learning. From the perspective of learners’ prior knowledge, the intrinsic connection between new and existing knowledge is shown to promote the rapid formation of new word memory during FM learning. Finally, a direct neural comparison between FM learning and explicit encoding learning reveals that FM learning relies on a cortical network anchored in the anterior temporal lobe (ATL), with little or even no hippocampal involvement—a pattern that is fundamentally distinct from the hippocampal-prefrontal system that underlies explicit encoding learning.
Since it was first proposed, FM learning has been met with questioning and challenges from researchers. The controversies surrounding FM learning can be broadly summarized into three major aspects. The first concerns whether FM learning is unique. At both the behavioral and neural levels, there has been conflicting evidence regarding the learning efficacy and “independence from the hippocampus” of FM learning. However, the uniqueness debate does not negate the encoding mode of FM learning itself, but rather lies in whether the engagement of the “cortical shortcut” may be constrained by the functional state of the hippocampus. The second concerns whether FM learning differs across different types of vocabulary learning. Vocabulary learning can be divided into two aspects: lexical configuration and lexical engagement. FM learning and explicit encoding learning have different applicability to these two aspects, which may be the source of the inconsistencies in previous findings. The third concerns whether FM learning challenges traditional learning theories. The rapid cortical integration mechanism revealed by FM learning poses a challenge to the systems consolidation view advocated by complementary learning systems and standard consolidation theory, whereas memory systems reorganization theory provides a more explanatory framework for these findings.
Based on this, future research on FM learning should be further advanced in the following aspects. At the cognitive-behavioral level, the underlying mechanisms by which FM learning facilitates cortical memory need to be thoroughly examined; at the neurophysiological level, techniques from cognitive neuroscience should be integrated to uncover the neural mechanisms of FM learning—for example, distinguishing different cognitive processes during FM learning and revealing dynamic interactions between brain regions through neural oscillatory dynamics, and establishing the causal roles of key brain regions in FM learning using neuromodulation techniques such as tDCS and TMS. Critically, the debates on FM learning have collectively driven learning theory from a linear consolidation view that asks “when information transfers from the hippocampus to the cortex” toward a dynamic reorganization view that asks “under what conditions the cortex can directly participate in the construction of novel word representations.” Future research needs to further clarify the cognitive and neural mechanisms of FM learning within this dynamic perspective, thereby providing empirical foundations for the development of learning theory.

Key words: vocabulary learning, fast mapping, learning theory