{"title":"[我们如何从大脑活动中重建心理想象？］","authors":"Naoko Koide-Majima, Shinji Nishimoto, Kei Majima","doi":"10.11477/mf.1416202768","DOIUrl":null,"url":null,"abstract":"<p><p>Advances in machine learning and artificial intelligence (AI) have enabled the extraction of information such as perception and motor intention from neural activities, which is called neural decoding. A recent study demonstrated that mental imagery can be reconstructed from brain activity measured using functional magnetic resonance imaging. This article describes the method of mental image reconstruction and the underlying technologies that support it.</p>","PeriodicalId":52507,"journal":{"name":"Brain and Nerve","volume":"76 11","pages":"1256-1261"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[How Can We Reconstruct Mental Imagery from Brain Activities?]\",\"authors\":\"Naoko Koide-Majima, Shinji Nishimoto, Kei Majima\",\"doi\":\"10.11477/mf.1416202768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Advances in machine learning and artificial intelligence (AI) have enabled the extraction of information such as perception and motor intention from neural activities, which is called neural decoding. A recent study demonstrated that mental imagery can be reconstructed from brain activity measured using functional magnetic resonance imaging. This article describes the method of mental image reconstruction and the underlying technologies that support it.</p>\",\"PeriodicalId\":52507,\"journal\":{\"name\":\"Brain and Nerve\",\"volume\":\"76 11\",\"pages\":\"1256-1261\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain and Nerve\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11477/mf.1416202768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Nerve","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11477/mf.1416202768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
[How Can We Reconstruct Mental Imagery from Brain Activities?]
Advances in machine learning and artificial intelligence (AI) have enabled the extraction of information such as perception and motor intention from neural activities, which is called neural decoding. A recent study demonstrated that mental imagery can be reconstructed from brain activity measured using functional magnetic resonance imaging. This article describes the method of mental image reconstruction and the underlying technologies that support it.
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