Article(id=1242143224932934434, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1146500022360707816, articleNumber=null, orderNo=10, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1749052800000, onlineDateStr=2025-06-05, pubDate=1745769600000, pubDateStr=2025-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1749052800000, onlineIssueDateStr=2025-06-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079622726, creator=sys-migrate, updateTime=1774079622726, updator=sys-migrate, issue=Issue{id=1146500022360707816, tenantId=1146029695717560320, journalId=1146031591421210625, year='2025', volume='43', issue='8', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1745769600000', pubDateStr='2025-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1751276506271, creator='13701087609', updateTime=1774330523255, updator='13041195026', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1243195578088276195, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1146500022360707816, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1243195578088276196, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1146500022360707816, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6, endPage=10, ext={EN=ArticleExt(id=1242143228976247289, articleId=1242143224932934434, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=null, columnId=null, journalTitle=Science & Technology Review, columnName=null, runingTitle=null, highlight=null, articleAbstract=null, authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=
All rights reserved. Unauthorized reproduction is prohibited., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242143225234928098, articleId=1242143224932934434, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=小鼠脑区新图谱问世, columnId=1157710593177338394, journalTitle=科技导报, columnName=科技新闻, runingTitle=null, highlight=null, articleAbstract=
科学家绘制出了小鼠视觉皮层部分区域约8万个神经元的连接图谱,并通过将这些连接数据与神经元活动相关联,重建了该脑区细胞处理视觉信号的机制。这项迄今为止最详细的连接图谱,为研究大脑的认知与行为机制提供了全新资源,相关成果以10篇系列论文的形式发表于2025年4月9号的《Nature》系列期刊上。“皮质网络机器智能”(Machine Intelligence from Cortical Networks)项目研究人员通过在跑步机上播放影片,观察并记录了小鼠的单个神经元活动,随后对小鼠大脑进行了数千层超薄切片成像。早期发现包括新型神经元和活动模式。此外,研究人员还利用人工智能预测神经元对特定刺激的反应。人工智能的使用可以帮助突破动物活体实验限制,实现更广范围的视觉信息输入研究。为了研究完整的神经回路,突破当前1mm3的脑区研究范围,还需要绘制更加精确的大脑图谱。
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小鼠大脑某一区域神经元的数字模型 (图片来源:艾伦脑科学研究所)
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