BIOL NEURAL NETWORKS: MULTICHANNEL RECORD & ANALYSIS & DATA ACQUISITION

BIOL 神经网络：多通道记录

• 批准号: 6660149
• 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: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2003-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6660149
• 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.

该项目解决了生物神经网络(NNS)在 高通道计数电极背景下的听觉系统。我们 建议扩展我们过去在耳蜗核记录方面的工作 (CN)和下丘(IC)的薄膜电极技术 解决有关数据的技术、生物学和理论问题 收集和分析以及神经回路识别。两者都是急性的 和慢性多单位记录在中脑，IC和听觉皮质(AC)。 豚鼠将被用来解决这些问题。总体目标 该项目的主要目的是应用增强的数据收集功能 由薄膜、多触点电极技术引起的关注 该资源中心通常要推进对NNS的网络估计， 以及为了更好地了解 听觉系统的网络。工作范围包括1) 多点接触电极记录波形的研究 场势与放电检测及其解析 成有效的穗列；2)收集和分析多个 来自CN、IC和AC的使用声音刺激和本地的棘波训练数据 急性和慢性豚鼠的化学和电刺激 3)神经网络辨识问题的研究。 一类网络的模拟和实验数据 薄膜电极。