arXiv cs.CL· Bernd J. Kr\"oger·· 11 小时前AI 评分18
基于脉冲神经网络的“心理词典”模型：表征、相似性结构与感知和产出中的联想检索
A Spiking Neural Model of the Mental Lexicon: Representations, Similarity Structure, and Associative Retrieval in Perception and Production
AI 导读
一项基于 Neural Engineering Framework 与 Semantic Pointer Architecture 的脉冲神经网络实现构建了包含 613 个词条的心理词典，使用 199,400 个漏积分放电神经元，支持感知（语音形式经 lemma 到概念）与产出（概念经 lemma 到语音形式）两条有向通路。
正文 · 原文
Abstract:A neural account of lexical access requires an explicit distinction between the structure of lexical representations, the associations linking representational levels, and the activity generated during retrieval. This paper specifies a spiking neural implementation of the mental lexicon within the Neural Engineering Framework and Semantic Pointer Architecture. Conceptual and phonological form representations are constructed recursively from relational graphs, whereas lemma representations provide independent lexical identities. The implementation contains 613 lexical entries and supports two directed processing pathways: perception maps a phonological form to its associated concept via a lemma, whereas production maps a concept to its associated phonological form via a lemma. Each pathway combines two associative-memory variants, winner-take-all (WTA) selection (competition) and thresholded transfer, and uses 199,400 leaky integrate-and-fire neurons. We formalize within-level similarity, cross-level associative retrieval, and the interpretation of decoded activity. Simulations show successful retrieval of eight selected words from the lexicon in both processing directions, with retrieval evaluated against all 613 lexical entries. These simulations use complete phonological forms as input for perception and complete concepts as input for production, illustrating lexical retrieval through the corresponding processing pathways. This paper provides a transparent description of lexical representations and neural retrieval mechanisms, supported by accessible code, lexical data, and online simulation documentation.
| Comments: | 28 pages, 3 figures; code, lexical data and recorded simulations available on GitHub; ancillary figure-generation scripts and provenance documentation |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2611.09402 [cs.CL] |
| (or arXiv:2611.09402v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2611.09402 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Bernd-Joachim Kröger [view email]
[v1]
Fri, 6 Nov 2026 12:35:44 UTC (144 KB)
来源：arXiv cs.CL · arxiv.org