CENTER FOR NEURAL COMMUNICATION TECHNOLOGY

这项中心提案的主要目的是允许调查人员进入 神经生物学与神经系统建立更丰富的沟通 通过使用在硅上构建的多通道薄膜器件 底物。最终目标是提供观察和观察的能力 影响数十个细胞的活动，然后才能推断 它们的神经回路和几何关系。 这其中有一个重要的服务和技术转让部分 中间。该中心将对调查人员进行关于这项技术、其用途的教育 以及制造定制器件所需的设计方法。这个 中心将把系统分发给已在 密歇根大学的实验室。已经存在着一个有钱人 已成功应用于神经生物学的设备目录 世界各地的实验室。将举办一次研讨会，以加强 意识到这些设备的未来可能性，并鼓励 让更多的中心参与这一技术的开发和使用的研究 技术 有四个核心研究项目。两家公司将集中精力延长 该技术目前的重点是使用一种 硬连线互连系统，到化学制剂和电磁 沟通。剩下的两个项目致力于提取 从实验组织中获得尽可能多的信息。系统科学 将进行研究，试图破译这些关系 使用信号处理技术对细胞间的电位进行记录 通过传感器阵列。将采用逻辑和统计方案来 在三维空间中推导细胞间的电路关系 对组织的分析将被用来暗示确切的几何形状 被记录的单元格之间的关系。

The major thrust of this center proposal is to allow investigators in neurobiology to establish a richer communication with the nervous system through the use of multichannel thin-film devices constructed on silicon substrates. The ultimate goal is to provide the ability to observe and influence the activity of dozens of cells and later be able to deduce their neural circuit and geometric relationships. There is a significant service and technology transfer component to this center. The Center will educate investigators on the technology, its use and the design methods required for fabrication of custom devices. The Center will distribute systems to users which have been prepared in the laboratories of the University of Michigan. There already exists a rich catalog of devices which have been successfully used in neurobiology laboratories world-wide. A symposium will be hosted to heighten the awareness of future possibilities for these devices and encourage the engagement of more centers in research on development and use of this technology. There are four core research projects. Two will concentrate on extending the technology from its present focus on electrical communication using a hardwired interconnect system, to chemical agents and electromagnetic communication. The remaining two projects are dedicated to extracting as much information from the experimental tissue as possible. Systems science studies will be carried out which will seek to decode the relationships among cells using signal processing techniques on the potentials recorded by arrays of sensors. Logical and statistical schemes will be employed to deduce the circuit relationships among cells while three dimensional analysis of the tissue will be employed to imply the exact geometric relationships among cells being recorded.