Massive scale electrical neural recordings in vivo using commercial ROIC chips

使用商用 ROIC 芯片进行大规模体内电神经记录

• 批准号: 9558974
• 负责人: Konrad P. Kording
• 金额: $ 62.34万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-06 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9558974
• 关键词: Address; Affect; Amplifiers; Area; Back; Behavior; Biological Sciences; Brain; Caliber; Data; Data Analyses; Development; Devices; Electrodes; Electrolytes; Electrophysiology (science); Elements; Engineering; Equipment; Fostering; Frequencies; Future; Glass; Goals; Gold; Growth; Hand; Health; Human; Image; Individual; Laws; Measures; Mechanics; Metals; Methods; Mission; Neurons; Neurosciences; Noise; Partner in relationship; Performance; Physics; Physiology; Plant Roots; Polishes; Prosthesis; Public Health; Research; Rodent; Scheme; Shapes; Signal Transduction; Speed; Surface; System; Techniques; Technology; United States National Institutes of Health; Work; base; brain machine interface; computational neuroscience; cost; design; experimental study; human subject; improved; in vivo; innovation; materials science; neuronal circuitry; neurotransmission; novel diagnostics; novel therapeutics; public health relevance; relating to nervous system; response; success; time use; tool

DESCRIPTION (provided by applicant): Current scaling behavior in electrical recording is dominated by the difficulty of fabricating systems with many high bandwidth channels. The objective of our research is a radically new and innovative approach of fabricating massive scale electrical recording setups. In our approach, a polished bundle of insulated metal wires (that act as recording electrodes) are pushed mechanically on the surface of a commercial amplifier chip used for high-speed infrared imaging. This allows us to tie into the massive progress happening in the imaging field. The long term goal of our research is to enable a paradigm shift, making the recording of massive amounts of neurons a cheap possibility. Our approach combines electrode design, innovative methods for electrical connections, and off-the-shelf read out integrated circuits (ROICs). The approach is innovative, because it uses a unique combination of techniques to produce a device that allows orders of magnitude more channels to be recorded at a fraction of the cost with unrivalled potential for future growth. The proposed research is significant, because it is a radical departure from current ways of conducting electrophysiological experiments. The far larger numbers of electrical channels promise to enable a broad range of new experiments, ever boosted by future improvements in imaging chip development. But above all, the planned methods should become compatible with recording from human subjects in the context of brain machine interfaces.

描述（由申请人提供）：当前电记录中的缩放行为主要是由制造具有许多高带宽通道的系统的难度决定的。我们研究的目标是采用一种全新的创新方法来制造大规模电子记录装置。在我们的方法中，一束抛光的绝缘金属线（充当记录电极）被机械地推到用于高速红外成像的商用放大器芯片的表面上。这使我们能够融入成像领域正在发生的巨大进步。我们研究的长期目标是实现范式转变，使记录大量神经元成为一种廉价的可能性。我们的方法结合了电极设计、创新的电气连接方法和现成的读出集成电路 (ROIC)。该方法具有创新性，因为它使用独特的技术组合来生产一种设备，该设备可以以较低的成本记录更多数量级的通道，并且具有无与伦比的未来增长潜力。这项研究意义重大，因为它与当前进行电生理实验的方法截然不同。数量大得多的电通道有望实现广泛的新实验，而成像芯片开发的未来改进将进一步推动这一点。但最重要的是，计划中的方法应该与脑机接口背景下人类受试者的记录兼容。

项目成果

Massively parallel microwire arrays integrated with CMOS chips for neural recording.

大规模并行微线阵列与 CMOS 芯片集成，用于神经记录。

• 发表时间: 2020-03
• 影响因子: 13.6
• 作者: Obaid, Abdulmalik;Hanna, Mina;Wu, Yu;Kollo, Mihaly;Racz, Romeo;Angle, Matthew R;Müller, Jan;Brackbill, Nora;Wray, William;Franke, Feli;Chichilnisky, E J;Hierlemann, Andreas;Ding, Jun B;Schaefer, Andreas T;Melosh, Nicholas A
• 通讯作者: Melosh, Nicholas A