{"title":"A neural circuit model forming semantic memory from episodic memory using STDP","authors":"Yusaku Kobayashi, Kazushi Murakoshi","doi":"10.1002/ecjb.20332","DOIUrl":null,"url":null,"abstract":"<p>The role of memory is important for human high-order functions such as thought, motion, and recognition. From many kinds of memory, this paper focuses on semantic memory and episodic memory which are declarative. It is thought that semantic memory is formed from common part of episodic memories. Though it is clarified which part of the brain is related to semantic memory, the neural circuit has not been clarified, especially concerning STDP which is minute learning regulation in time. We propose a neural circuit model forming semantic memory from episodic memory using STDP. By changing connections and input patterns in the model, we have examined the appropriate conditions by which semantic memory can be formed. The results show that three input routes, recurrent input, and appropriate propagation delay are necessary for forming semantic memory. Moreover, we have experimented forming a semantic memory after forming another semantic memory. The result shows that our model is able to form a semantic network. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 90(2): 54–63, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20332</p>","PeriodicalId":100406,"journal":{"name":"Electronics and Communications in Japan (Part II: Electronics)","volume":"90 2","pages":"54-63"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ecjb.20332","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics and Communications in Japan (Part II: Electronics)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ecjb.20332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The role of memory is important for human high-order functions such as thought, motion, and recognition. From many kinds of memory, this paper focuses on semantic memory and episodic memory which are declarative. It is thought that semantic memory is formed from common part of episodic memories. Though it is clarified which part of the brain is related to semantic memory, the neural circuit has not been clarified, especially concerning STDP which is minute learning regulation in time. We propose a neural circuit model forming semantic memory from episodic memory using STDP. By changing connections and input patterns in the model, we have examined the appropriate conditions by which semantic memory can be formed. The results show that three input routes, recurrent input, and appropriate propagation delay are necessary for forming semantic memory. Moreover, we have experimented forming a semantic memory after forming another semantic memory. The result shows that our model is able to form a semantic network. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 90(2): 54–63, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20332
基于STDP的情景记忆形成语义记忆的神经回路模型
记忆的作用对人类的高级功能如思考、运动和识别很重要。从记忆的种类来看,语义记忆和情景记忆属于陈述性记忆。语义记忆被认为是由情景记忆的共同部分形成的。虽然明确了大脑的哪个部分与语义记忆有关,但神经回路尚未明确,特别是关于STDP,即时间上的微小学习调节。我们提出了一种由情景记忆形成语义记忆的神经回路模型。通过改变模型中的连接和输入模式,我们检查了语义记忆形成的适当条件。结果表明,三种输入路径、循环输入和适当的传播延迟是形成语义记忆的必要条件。此外,我们还进行了在形成另一种语义记忆后形成另一种语义记忆的实验。结果表明,我们的模型能够形成一个语义网络。©2007 Wiley期刊公司电子工程学报,2009,31 (2):563 - 563;在线发表于Wiley InterScience (www.interscience.wiley.com)。DOI 10.1002 / ecjb.20332
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