High channel count electrophysiology and data processing for freely-moving animals

自由移动动物的高通道数电生理学和数据处理

• 批准号: 10385193
• 负责人: John L Sherwood
• 金额: $ 100.54万
• 依托单位: LEAFLABS, LLC
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-21 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10385193
• 关键词: Address; Adoption; Alzheimer' s Disease; Animals; Architecture; BRAIN initiative; Biotechnology; Brain; Brain Diseases; Budgets; Cells; Chronic; Cognition; Collaborations; Complex; Computer Architectures; Computer software; Data; Data Analyses; Data Storage and Retrieval; Data Store; Development; Electrophysiology (science); Elements; Engineering; Ensure; Epilepsy; Funding; Generations; Goals; Head; Image; Individual; Learning; Letters; Mammals; Memory; Mental Depression; Modeling; Modification; National Institute of Mental Health; Neurons; Neurosciences; Noise; Parkinson Disease; Performance; Phase; Physiological; Pilot Projects; Population; Process; Production; Research Personnel; Resolution; Rodent; Sampling; Services; Signal Transduction; Silicon; Site; Small Business Innovation Research Grant; Sorting - Cell Movement; Speed; Stream; System; Techniques; Technology; Testing; Time; Tissues; Visualization; Weight; Willow; Work; analog; base; cluster computing; commercialization; computerized data processing; cost; data acquisition; design; digital; electron beam lithography; expectation; experimental study; improved; in vivo; live stream; manufacturing process; millisecond; neural circuit; novel; relating to nervous system; research facility; response; sensor; solid state; terabyte; theories; tool

PROJECT SUMMARY Simultaneous recording and stimulation of larger populations of neurons distributed throughout the brain is needed to rigorously evaluate theories of neural computation at the cellular level in mammals. Previously, we introduced a direct-to-disk data acquisition architecture (Kinney et al., 2015) designed to work with close-packed silicon probes (Scholvin et al., 2016) to enable 1000-channel neural recording in head-fixed animals (Preliminary Data). Through pilot studies we demonstrated the successful recording of terabytes of neural spiking activity (Preliminary Data), but also discovered some shortcomings of the architecture. Two design elements in particular were limiting. First, our headstages were too bulky for freely-moving experiments. Second, our acquisition hardware did not have the ability to quickly analyze all 1000 channels of data. As a result, it took days to weeks to understand the neural activity content of the terabyte-size recordings. For ultra-high-channel count neural recordings to become routine, the acquisition architecture must allow and facilitate rapid online and offline analysis of large amounts of data. A computer architecture with local data storage and analysis is favored, since a 1000-channel recording (e.g. 1000 channels sampled with 16 bits at 30 kHz) generates neural data at a sustained rate that exceed typical (gigabit ethernet) network connection speed to compute clusters or the cloud. Accordingly, we propose a 1024-channel silicon probe for freely-moving electrophysiology experiments in combination with a data acquisition system optimized for easy data analysis. The novel silicon probe will record and stimulate 1024 closed-packed sites, be compact enough for freely-moving rodent experiments, and reduce headstage cost by a factor of 5 (<$1 per channel). Furthermore, the redesigned acquisition hardware will not only capture 1024 channels of neural data and store to solid-state drive over a high-speed bus, but will now also copy the data to a GPU for spike sorting and RAM for visualization both online and offline. To test the system, we will perform 1024-channel freely-moving neural recordings in rodents, in collaboration with (at least) 3 labs with expertise (see Letters of Support).

项目摘要 同时记录和刺激分布在整个大脑中的较大神经元的群体是 需要严格评估哺乳动物细胞水平的神经计算理论。以前，我们 引入了直接到磁盘数据采集体系结构（Kinney等，2015），旨在与 封闭式硅探针（Scholvin等，2016）启用1000通道神经记录。 动物（初步数据）。通过试点研究，我们证明了成功记录的trabytes 神经尖峰活动（初步数据），但也发现了建筑的一些缺点。二 特别是设计元素是有限的。首先，我们的头衔太大了，无法自由移动实验。 其次，我们的收购硬件无法快速分析所有1000个数据渠道。作为 结果，花了几天到几周才能理解Terabyte大小录音的神经活动含量。为了 超高通道计数神经记录成为常规，收购架构必须允许，并且 促进大量数据的快速在线和离线分析。带有本地数据的计算机架构 由于存储和分析是有利的，因为有1000个通道记录（例如，在16位采样1000个通道 30 kHz）以超过典型（千兆以太网）网络连接的持续速率生成神经数据 计算簇或云的速度。 因此，我们提出了一个1024通道硅探针，用于自由移动电生理学 实验与已优化的数据采集系统结合使用，以方便数据分析。小说 硅探针将记录并刺激1024个封闭装置的位点，足够紧凑，可以自由移动啮齿动物 实验，并将震源成本降低5倍（每个频道<$ 1）。此外，重新设计 采集硬件不仅将捕获1024个神经数据渠道，并存储到固态驱动器上 高速巴士，但现在也将将数据复制到GPU进行尖峰分类和RAM以进行可视化 在线和离线。为了测试系统，我们将在啮齿动物中执行1024个通道自由移动的神经记录， 与（至少）具有专业知识的3个实验室合作（请参阅支持信）。