Expanding access to open-source data acquisition software for next-generation silicon probes
扩大对下一代硅探针的开源数据采集软件的访问
基本信息
- 批准号:10380130
- 负责人:
- 金额:$ 47.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-15 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:Action PotentialsAdoptionArchitectureAreaBrainCodeCollaborationsCommunitiesComputer softwareDataDevelopmentDevicesDocumentationEducational workshopElectrophysiology (science)EnsureFeedbackFoundationsFundingFunding AgencyFutureHairHeadHuman ResourcesInstitutesInterviewLaboratoriesLearningLengthLinuxMeasuresMental HealthMental disordersMethodsNeuronsNeurosciencesOperating SystemPlant RootsProcessResearchResearch PersonnelResourcesRodentScientistServicesSignal TransductionSiliconSiteSource CodeStandardizationStreamStructureSurveysSystemTechnologyTestingTimeTrustUpdateVisualizationbasebrain cellcostdata acquisitiondata qualitydata standardsdensitydesignexperienceexperimental studyextracellularflexibilityimprovedmillisecondnanoelectronicsnext generationopen dataopen sourcerelating to nervous systemrepositorysocial mediasoftware developmentsymposiumtoolvoltagevolunteerweb site
项目摘要
We plan to provide software support services for Neuropixels probes, a groundbreaking new tool for recording
electrical signals from the brain. These probes—which were created by IMEC, a world-renowned
nanoelectronics research center, in collaboration with four funding agencies (HHMI, Allen Institute, Gatsby
Foundation, and Wellcome Trust)—will become publicly available in July 2018. Each device consists of a
single hair-like shank containing nearly 1000 recording sites, each of which can measure voltage changes with
sub-millisecond precision. Not only can these probes simultaneously record action potentials from an order of
magnitude more neurons than was previously possible, but the entire package is small enough to be mounted
on the head of a freely moving rodent. Given the relatively low cost of these reusable probes, they will become
a new standard for electrophysiology. In order to use Neuropixels for our own experiments, the Allen Institute
made it possible to stream Neuropixels data into an existing open-source software package, Open Ephys.
Funding for this proposal would allow us to hire personnel to provide community-wide support for the
integration of Open Ephys and Neuropixels. Support functions would include responding to user requests,
maintaining the source code, improving the documentation, and simplifying the processing of installing and
upgrading the software. This would serve to make Neuropixels accessible to all laboratories, regardless of their
prior experience with electrophysiology. In addition, we plan to gather software plugins developed by users,
make them more robust, and disseminate them through a centralized repository. Open Ephys already has a
global network of volunteer developers, which we plan to leverage to expand the features of this software.
Throughout the process, we will engage with the community via interviews, surveys, conferences, and annual
workshops. While our main focus will be on providing support services for Neuropixels users, our efforts will
also benefit the broader electrophysiology community. The field is currently lacking open standards for data
acquisition, analysis, and visualization, leading to a large amount of redundant development efforts across
laboratories. Establishing long-term support for a flexible, powerful, and open-source software platform would
provide a terrific foundation for future progress. Thanks to Open Ephys’ modular plugin architecture, it will be
easy to adapt when the next technological breakthrough occurs.
我们计划为Neuropixels探针提供软件支持服务,这是一种开创性的记录新工具
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Joshua H Siegle其他文献
Joshua H Siegle的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Joshua H Siegle', 18)}}的其他基金
Neuropixels Opto: Integrated Silicon Probes for Cell-Type-Specific Electrophysiology
Neuropixels Opto:用于细胞类型特异性电生理学的集成硅探针
- 批准号:
10731991 - 财政年份:2023
- 资助金额:
$ 47.36万 - 项目类别:
Expanding access to open-source data acquisition software for next-generation silicon probes
扩大对下一代硅探针的开源数据采集软件的访问
- 批准号:
9910473 - 财政年份:2019
- 资助金额:
$ 47.36万 - 项目类别:
Expanding access to open-source data acquisition software for next-generation silicon probes
扩大对下一代硅探针的开源数据采集软件的访问
- 批准号:
10605214 - 财政年份:2019
- 资助金额:
$ 47.36万 - 项目类别:
Closed-Loop Control of Hippocampal Output During a Working Memory Task
工作记忆任务期间海马输出的闭环控制
- 批准号:
8392517 - 财政年份:2012
- 资助金额:
$ 47.36万 - 项目类别:
Closed-Loop Control of Hippocampal Output During a Working Memory Task
工作记忆任务期间海马输出的闭环控制
- 批准号:
8601407 - 财政年份:2012
- 资助金额:
$ 47.36万 - 项目类别:
相似海外基金
Investigating the Adoption, Actual Usage, and Outcomes of Enterprise Collaboration Systems in Remote Work Settings.
调查远程工作环境中企业协作系统的采用、实际使用和结果。
- 批准号:
24K16436 - 财政年份:2024
- 资助金额:
$ 47.36万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
WELL-CALF: optimising accuracy for commercial adoption
WELL-CALF:优化商业采用的准确性
- 批准号:
10093543 - 财政年份:2024
- 资助金额:
$ 47.36万 - 项目类别:
Collaborative R&D
Unraveling the Dynamics of International Accounting: Exploring the Impact of IFRS Adoption on Firms' Financial Reporting and Business Strategies
揭示国际会计的动态:探索采用 IFRS 对公司财务报告和业务战略的影响
- 批准号:
24K16488 - 财政年份:2024
- 资助金额:
$ 47.36万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10107647 - 财政年份:2024
- 资助金额:
$ 47.36万 - 项目类别:
EU-Funded
Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework
评估电动汽车采用对城市能源转型的协调:地理空间机器学习框架
- 批准号:
24K20973 - 财政年份:2024
- 资助金额:
$ 47.36万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10106221 - 财政年份:2024
- 资助金额:
$ 47.36万 - 项目类别:
EU-Funded
De-Adoption Beta-Blockers in patients with stable ischemic heart disease without REduced LV ejection fraction, ongoing Ischemia, or Arrhythmias: a randomized Trial with blinded Endpoints (ABbreviate)
在没有左心室射血分数降低、持续性缺血或心律失常的稳定型缺血性心脏病患者中停用β受体阻滞剂:一项盲法终点随机试验(ABbreviate)
- 批准号:
481560 - 财政年份:2023
- 资助金额:
$ 47.36万 - 项目类别:
Operating Grants
Our focus for this project is accelerating the development and adoption of resource efficient solutions like fashion rental through technological advancement, addressing longer in use and reuse
我们该项目的重点是通过技术进步加快时装租赁等资源高效解决方案的开发和采用,解决更长的使用和重复使用问题
- 批准号:
10075502 - 财政年份:2023
- 资助金额:
$ 47.36万 - 项目类别:
Grant for R&D
Engage2innovate – Enhancing security solution design, adoption and impact through effective engagement and social innovation (E2i)
Engage2innovate — 通过有效参与和社会创新增强安全解决方案的设计、采用和影响 (E2i)
- 批准号:
10089082 - 财政年份:2023
- 资助金额:
$ 47.36万 - 项目类别:
EU-Funded
Collaborative Research: SCIPE: CyberInfrastructure Professionals InnoVating and brOadening the adoption of advanced Technologies (CI PIVOT)
合作研究:SCIPE:网络基础设施专业人员创新和扩大先进技术的采用 (CI PIVOT)
- 批准号:
2321091 - 财政年份:2023
- 资助金额:
$ 47.36万 - 项目类别:
Standard Grant














{{item.name}}会员




