面向社区驱动的大开放脑科学:结构、功能和遗传学的开放大数据和工具。

IF 12.1 1区 医学 Q1 NEUROSCIENCES Annual review of neuroscience Pub Date : 2020-07-08 Epub Date: 2020-04-13 DOI:10.1146/annurev-neuro-100119-110036
Adam S Charles, Benjamin Falk, Nicholas Turner, Talmo D Pereira, Daniel Tward, Benjamin D Pedigo, Jaewon Chung, Randal Burns, Satrajit S Ghosh, Justus M Kebschull, William Silversmith, Joshua T Vogelstein
{"title":"面向社区驱动的大开放脑科学:结构、功能和遗传学的开放大数据和工具。","authors":"Adam S Charles,&nbsp;Benjamin Falk,&nbsp;Nicholas Turner,&nbsp;Talmo D Pereira,&nbsp;Daniel Tward,&nbsp;Benjamin D Pedigo,&nbsp;Jaewon Chung,&nbsp;Randal Burns,&nbsp;Satrajit S Ghosh,&nbsp;Justus M Kebschull,&nbsp;William Silversmith,&nbsp;Joshua T Vogelstein","doi":"10.1146/annurev-neuro-100119-110036","DOIUrl":null,"url":null,"abstract":"<p><p>As acquiring bigger data becomes easier in experimental brain science, computational and statistical brain science must achieve similar advances to fully capitalize on these data. Tackling these problems will benefit from a more explicit and concerted effort to work together. Specifically, brain science can be further democratized by harnessing the power of community-driven tools, which both are built by and benefit from many different people with different backgrounds and expertise. This perspective can be applied across modalities and scales and enables collaborations across previously siloed communities.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":"43 ","pages":"441-464"},"PeriodicalIF":12.1000,"publicationDate":"2020-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-neuro-100119-110036","citationCount":"10","resultStr":"{\"title\":\"Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics.\",\"authors\":\"Adam S Charles,&nbsp;Benjamin Falk,&nbsp;Nicholas Turner,&nbsp;Talmo D Pereira,&nbsp;Daniel Tward,&nbsp;Benjamin D Pedigo,&nbsp;Jaewon Chung,&nbsp;Randal Burns,&nbsp;Satrajit S Ghosh,&nbsp;Justus M Kebschull,&nbsp;William Silversmith,&nbsp;Joshua T Vogelstein\",\"doi\":\"10.1146/annurev-neuro-100119-110036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>As acquiring bigger data becomes easier in experimental brain science, computational and statistical brain science must achieve similar advances to fully capitalize on these data. Tackling these problems will benefit from a more explicit and concerted effort to work together. Specifically, brain science can be further democratized by harnessing the power of community-driven tools, which both are built by and benefit from many different people with different backgrounds and expertise. This perspective can be applied across modalities and scales and enables collaborations across previously siloed communities.</p>\",\"PeriodicalId\":8008,\"journal\":{\"name\":\"Annual review of neuroscience\",\"volume\":\"43 \",\"pages\":\"441-464\"},\"PeriodicalIF\":12.1000,\"publicationDate\":\"2020-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1146/annurev-neuro-100119-110036\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual review of neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-neuro-100119-110036\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/4/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/annurev-neuro-100119-110036","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/4/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 10

摘要

随着实验脑科学更容易获取大数据,计算和统计脑科学必须取得类似的进步,以充分利用这些数据。解决这些问题将受益于更加明确和协调一致的共同努力。具体来说,通过利用社区驱动工具的力量,脑科学可以进一步民主化,这些工具都是由具有不同背景和专业知识的许多不同的人建立并受益的。这种观点可以跨模式和规模应用,并使以前孤立的社区之间的合作成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics.

As acquiring bigger data becomes easier in experimental brain science, computational and statistical brain science must achieve similar advances to fully capitalize on these data. Tackling these problems will benefit from a more explicit and concerted effort to work together. Specifically, brain science can be further democratized by harnessing the power of community-driven tools, which both are built by and benefit from many different people with different backgrounds and expertise. This perspective can be applied across modalities and scales and enables collaborations across previously siloed communities.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Annual review of neuroscience
Annual review of neuroscience 医学-神经科学
CiteScore
25.30
自引率
0.70%
发文量
29
期刊介绍: The Annual Review of Neuroscience is a well-established and comprehensive journal in the field of neuroscience, with a rich history and a commitment to open access and scholarly communication. The journal has been in publication since 1978, providing a long-standing source of authoritative reviews in neuroscience. The Annual Review of Neuroscience encompasses a wide range of topics within neuroscience, including but not limited to: Molecular and cellular neuroscience, Neurogenetics, Developmental neuroscience, Neural plasticity and repair, Systems neuroscience, Cognitive neuroscience, Behavioral neuroscience, Neurobiology of disease. Occasionally, the journal also features reviews on the history of neuroscience and ethical considerations within the field.
期刊最新文献
A Whole-Brain Topographic Ontology. Harmony in the Molecular Orchestra of Hearing: Developmental Mechanisms from the Ear to the Brain. Circuit-Specific Deep Brain Stimulation Provides Insights into Movement Control. Predictive Processing: A Circuit Approach to Psychosis. Neural Control of Naturalistic Behavior Choices.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1