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Nanowire platform for mapping neural circuits

机译:用于映射神经回路的纳米线平台

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摘要

Biological systems consist of a myriad of highly interactive and complex interconnections and pathways across multiple orders of length and time scales. Natural neuronal networks are valuable examples of such systems because they are important for understanding how the brain functions. Monitoring activities of a large number of neurons and intercommunication among them is critical for studying neuronal networks, for which passive microfabricated multielectrode arrays (MEAs) (1) and active planar silicon field effect transistor (FET) arrays (2) have been the two popular techniques. Now, a unique and more powerful technique has been developed, as demonstrated by Qing et al. in PNAS (3). The authors show that neuronal networks can now be studied with much higher spatial and temporal resolution while obtaining higher sensitivity of extracellular recording.
机译:生物系统由跨越高度和时间尺度的多个阶的无数高度交互和复杂的互连和途径组成。天然神经网络是此类系统的宝贵示例,因为它们对于理解大脑的功能非常重要。监视大量神经元的活动以及它们之间的相互通信对于研究神经元网络至关重要,为此,无源微制造多电极阵列(MEA)(1)和有源平面硅场效应晶体管(FET)阵列(2)成为了两种流行的方法技术。现在,已开发出一种独特且功能更强大的技术,如Qing等人所证明的。在PNAS(3)中。作者表明,现在可以以更高的时空分辨率研究神经元网络,同时获得更高的细胞外记录敏感性。

著录项

  • 来源
  • 作者

    Chong Xie; Yi Cui;

  • 作者单位

    Department of Materials Science and Engineering, Stanford University, Stanford, C4 94305;

    Department of Materials Science and Engineering, Stanford University, Stanford, C4 94305;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

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