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SGER Collaborative Research: CRCNS Data Sharing of Intracellular Recordings from the Neocortex

SGER Collaborative Research: CRCNS Data Sharing of Intracellular Recordings from the Neocortex
SGER 合作研究:新皮质细胞内记录的 CRCNS 数据共享
批准号:
0749051
负责人:
Michael DeWeese
金额:
$1.75万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-10-01 至 2009-09-30

项目摘要

项目成果

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中文摘要
翻译
摘要:该奖项支持计算神经科学数据的准备和共享,作为一项探索性活动的一部分,旨在促进计算神经科学及相关领域的快速创新进展。本项目共享的数据是由Judith Hirsch、Anthony Zador、Michael DeWeese和Michael Brecht的实验室在活体中从视觉、听觉、体感和新皮层运动区域获得的细胞内(全细胞贴片)记录。这些数据不仅包括峰值,还包括由突触连接和固有膜通道产生的膜电压或电流。除了提供数据外,研究人员还将开发描述记录方法、刺激范例以及与解释细胞内记录相关的问题的教程材料。预计这个汇集的数据集将对那些希望研究特定感觉模式的人以及那些希望了解新皮层功能共同特征的人有用。这对于开发新的数据分析方法也具有重要的价值。
英文摘要
Proposal No: 0749051PI: Michael DeWeeseAward Abstract:This award supports the preparation and sharing of computational neuroscience data as part of an exploratory activity aimed at catalyzing rapid and innovative advances in computational neuroscience and related fields. The data to be shared in this project are intracellular (whole-cell patch) recordings obtained in vivo from visual, auditory, somatosensory, and motor areas of the neocortex by the laboratories of Judith Hirsch, Anthony Zador, Michael DeWeese, and Michael Brecht. These data include not only spikes but also membrane voltages or currents generated by synaptic connections and intrinsic membrane channels. In addition to providing data, the investigators will develop tutorial materials describing recording methods, stimulus paradigms, and issues relevant to the interpretation of intracellular recordings. It is anticipated that this pooled data set will be useful for those wishing to study a particular sensory modality as well as those who hope to understand common features of neocortical function. It will also be of great value for the development of new methods of data analysis.
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会议论文
Carbon Nanotubes as an Intracellular Neural Electrode
  • 批准号:
    1265085
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $29.08万
  • 财政年份:
    2013
  • 负责人:
    Michael DeWeese
  • 依托单位:
RI: Small: Efficient Learning Algorithms for Modeling Natural Data
  • 批准号:
    1219199
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2012
  • 负责人:
    Michael DeWeese
  • 依托单位:
海外基金