BIOL NEURAL NETWORKS: MULTICHANNEL RECORD & ANALYSIS & DATA ACQUISITION

BIOL 神经网络：多通道记录

• 批准号: 6505238
• 负责人: DAVID JAMES ANDERSON
• 金额: $ 20.08万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-01 至 2002-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6505238
• 关键词: Mammalia; animal tissue; bioengineering /biomedical engineering; biomedical equipment development; biomedical resource; ear; hearing; nervous system; technology /technique

This project addresses biological neural networks (NNs) in the auditory system in the context of high-channel count electrodes. We propose to extend our past work on recording in the cochlear nuclei (CN) and inferior colliculus (IC) using thin-film electrode technology to address technical, biological, and theoretical questions about data collection and analysis and neural circuit identification. Both acute and chronic multiunit recording at CN, IC, and auditory cortex (AC) of guinea pig will be used to address these questions. The general aims of this project are to apply the enhanced data gathering made possible by the thin-film, multicontact electrode technologies which concern this Resource Center to advance network estimation for NNs in general, and to obtain a better understanding of neural processing in the networks of the auditory system. The areas of work include 1) the study of waveforms recorded with multicontact electrodes including field potentials and the detection of discharges and their parsing into valid spike trains; 2) the collection and analysis of multiple spike train data from CN, IC, and AC using sound stimuli and local chemical and electrical stimuli in acute and chronic guinea pig preparations; 3) the study of NN identification problems using simulations of classes of networks and experimental data from thin-film electrodes.

该项目涉及生物神经网络（NN）在 听觉系统在高通道计数电极的情况下。 我们 我建议扩展我们过去在耳蜗核中记录的工作 (CN)和下丘（IC）的研究 解决有关数据的技术、生物和理论问题 采集分析和神经回路识别。 急性 以及CN、IC和听觉皮层（AC）的慢性多单位记录， 将使用豚鼠来回答这些问题。 总目标 该项目的目的是应用增强的数据收集， 通过薄膜、多触点电极技术， 该资源中心通常用于推进NN的网络估计， 为了更好地理解大脑中的神经处理， 听觉系统的网络。 工作领域包括：（1） 研究多触点电极记录的波形，包括 场电位和放电的检测及其解析 有效穗列车; 2）收集和分析多个 来自CN、IC和AC的使用声音刺激和局部 急性和慢性豚鼠化学和电刺激 准备工作; 3）神经网络识别问题的研究， 模拟网络类和实验数据， 薄膜电极。