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dc.contributor.authorKim, Jinhyun-
dc.contributor.authorMchugh, Thomas J.-
dc.contributor.authorKim, Chul Hoon-
dc.contributor.authorLau, Hakwan-
dc.contributor.authorNam, Min-Ho-
dc.date.accessioned2025-04-09T08:01:21Z-
dc.date.available2025-04-09T08:01:21Z-
dc.date.created2025-04-09-
dc.date.issued2025-03-
dc.identifier.issn0896-6273-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/152214-
dc.description.abstractAdvances in neurotechnologies, including molecular tools, neural sensors, and large-scale recording, are transforming neuroscience and generating vast datasets. A recent meeting highlighted the resulting challenges in global collaboration, data management, and effective translation, emphasizing the need for innovative strategies to harness big data for diagnosing and treating brain disorders.-
dc.languageEnglish-
dc.publisherCell Press-
dc.titleThe future of neurotechnology: From big data to translation-
dc.typeArticle-
dc.identifier.doi10.1016/j.neuron.2025.02.019-
dc.description.journalClass1-
dc.identifier.bibliographicCitationNeuron, v.113, no.6, pp.814 - 816-
dc.citation.titleNeuron-
dc.citation.volume113-
dc.citation.number6-
dc.citation.startPage814-
dc.citation.endPage816-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid001455308200001-
dc.identifier.scopusid2-s2.0-86000436825-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.type.docTypeEditorial Material-
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