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一种基于 STDP 的联想和组合数据编码方法。

An STDP-based encoding method for associative and composite data.

机构信息

Department of Mathematical Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City, 44919, Republic of Korea.

出版信息

Sci Rep. 2022 Mar 18;12(1):4666. doi: 10.1038/s41598-022-08469-6.

Abstract

Spike-timing-dependent plasticity(STDP) is a biological process of synaptic modification caused by the difference of firing order and timing between neurons. One of neurodynamical roles of STDP is to form a macroscopic geometrical structure in the neuronal state space in response to a periodic input by Susman et al. (Nat. Commun. 10(1), 1-9 2019), Yoon, & Kim. Stdp-based associative memory formation and retrieval. arXiv:2107.02429v2 (2021). In this work, we propose a practical memory model based on STDP which can store and retrieve high dimensional associative data. The model combines STDP dynamics with an encoding scheme for distributed representations and is able to handle multiple composite data in a continuous manner. In the auto-associative memory task where a group of images are continuously streamed to the model, the images are successfully retrieved from an oscillating neural state whenever a proper cue is given. In the second task that deals with semantic memories embedded from sentences, the results show that words can recall multiple sentences simultaneously or one exclusively, depending on their grammatical relations.

摘要

尖峰时间依赖可塑性(STDP)是一种由神经元的发射顺序和时间差异引起的突触修饰的生物过程。Susman 等人(Nat. Commun. 10(1), 1-9 2019)和 Yoon 和 Kim(Stdp-based associative memory formation and retrieval. arXiv:2107.02429v2 (2021))认为,STDP 的神经动力学作用之一是在神经元状态空间中形成宏观几何结构,以响应周期性输入。在这项工作中,我们提出了一种基于 STDP 的实用记忆模型,该模型可以存储和检索高维联想数据。该模型将 STDP 动力学与分布式表示的编码方案相结合,能够以连续的方式处理多个复合数据。在自联想记忆任务中,当一组图像连续流式传输到模型时,只要给出适当的提示,就可以从振荡的神经状态中成功检索到图像。在处理来自句子的嵌入语义记忆的第二个任务中,结果表明,单词可以根据其语法关系同时或单独回忆多个句子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba85/8933433/a257d85d831b/41598_2022_8469_Fig1_HTML.jpg

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