Analyses of the Distributed Representation of Associative-Learning in an Identified Circuit Using a Combination of Single-Cell Electrophysiology and Multicellular Voltage-Sensitive Dye Recordings

结合单细胞电生理学和多细胞电压敏感染料记录分析已识别电路中联想学习的分布式表示

基本信息

  • 批准号:
    10083235
  • 负责人:
  • 金额:
    $ 33.45万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-02-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY/ABSTRACT Although significant advances have been made in elucidating the cellular, biophysical and molecular mechanisms of learning and memory, much less is known about the ways in which mnemonic processes are embedded in neuronal networks, thereby storing and expressing a memory via changes in neural activity. The overall goal of this proposal is to provide insights into the design principles that govern the implementation of memories within the complex environment of a neural circuit. Studies will focus on an established in vitro analogue of operant conditioning (OC) in a relatively complex neural circuit, which is amenable to cellular and biophysical analyses. A combination of intracellular electrophysiological recording techniques and voltage- sensitive dye (VSD) recordings will locate and analyze loci of non-synaptic plasticity and synaptic plasticity. In addition, the project will examine the extent to which short- and long-term memory share plasticity loci. Aim 1 will use intracellular recording techniques to examine loci of OC-induced plasticity. Previous studies of OC in this model system focused primarily on non-synaptic plasticity mechanisms. However, preliminary data indicate that OC also modifies the strength of several synaptic connections in the network. Therefore, Aim 1 will examine OC-induced synaptic and non-synaptic plasticity. Aim 2 will use a combination of intracellular and VSD recordings to identify additional sites of OC-induced plasticity. To date, published studies have examined only five of the ~100 neurons and none of the hundreds of synaptic connections that comprise the neural circuit. To address this shortcoming, large-scale VSD recordings, in combination with intracellular recordings, will be used to identify OC-induced changes in activity and synaptic properties in a substantial proportion of the neurons in the circuit. Aim 3 will determine the extent to which short- and long-term memory share common loci and plasticity mechanisms. Our previous studies indicate that at least one locus of plasticity is common to both short- and long-term memory. Thus, an important question in memory research is to determine the extent to which sites for short-term memory are also sites for long-term memory, or conversely, which sites of plasticity may be unique to long-term memory. By examining these three aims, the project will provide insights into the ways in which the many components of a nervous system orchestrate learning and generate behavior.
项目摘要/摘要 尽管在阐明细胞,生物物理和分子方面已取得了重大进展 学习和记忆的机制,对助记符过程的方式知之甚少 嵌入神经元网络中,从而通过神经活动的变化来存储和表达记忆。这 该提案的总体目标是提供有关管理实施的设计原则的见解 在神经回路复杂环境中的记忆。研究将集中于已建立的体外 相对复杂的神经回路中操作调节(OC)的类似物,该神经回路适合细胞和 生物物理分析。细胞内电生理记录技术和电压的组合 - 敏感的染料(VSD)记录将定位和分析非突触可塑性和突触可塑性的基因座。在 此外,该项目将研究短期和长期记忆共享可塑性基因座的程度。目标1 将使用细胞内记录技术检查OC诱导的可塑性的基因座。先前对OC的研究 该模型系统主要集中在非突触可塑性机制上。但是,初步数据表示 OC还修改了网络中多个突触连接的强度。因此,AIM 1将检查 OC诱导的突触和非突触可塑性。 AIM 2将结合细胞内和VSD 记录以识别OC诱导的可塑性的其他位点。迄今为止,已发表的研究仅检查了 〜100个神经元中的五个,数百个突触连接都不包括神经回路。到 将使用这种缺点,大规模的VSD录音与细胞内记录结合使用 确定OC诱导的活动和突触特性的变化,在很大一部分的神经元中 电路。 AIM 3将确定短期和长期记忆共享共同基因座的程度和 可塑性机制。我们以前的研究表明,至少一个可塑性源是两个短 - 和长期记忆。因此,记忆研究中的一个重要问题是确定 短期内存的站点也是长期记忆的站点,或者相反,可塑性的位置可能是 长期记忆独有。通过检查这三个目标,该项目将提供有关方式的见解 神经系统的许多组成部分协调学习并产生行为。

项目成果

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John H Byrne其他文献

John H Byrne的其他文献

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{{ truncateString('John H Byrne', 18)}}的其他基金

A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop system
一种在易处理的小脑闭环系统中分析功能连接组学和组合控制的新方法
  • 批准号:
    10700737
  • 财政年份:
    2020
  • 资助金额:
    $ 33.45万
  • 项目类别:
A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop system
一种在易处理的小脑闭环系统中分析功能连接组学和组合控制的新方法
  • 批准号:
    10058915
  • 财政年份:
    2020
  • 资助金额:
    $ 33.45万
  • 项目类别:
Modeling the Molecular Networks that Underlie the Formation and Consolidation of Memory
模拟记忆形成和巩固的分子网络
  • 批准号:
    10607560
  • 财政年份:
    2018
  • 资助金额:
    $ 33.45万
  • 项目类别:
Modeling the Molecular Networks that Underlie the Formation and Consolidation of Memory
模拟记忆形成和巩固的分子网络
  • 批准号:
    10083237
  • 财政年份:
    2018
  • 资助金额:
    $ 33.45万
  • 项目类别:
Modeling the Molecular Networks that Underlie the Formation and Consolidation of Memory
模拟记忆形成和巩固的分子网络
  • 批准号:
    10317000
  • 财政年份:
    2018
  • 资助金额:
    $ 33.45万
  • 项目类别:
Analyses of the Distributed Representation of Associative-Learning in an Identified Circuit Using a Combination of Single-Cell Electrophysiology and Multicellular Voltage-Sensitive Dye Recordings
结合单细胞电生理学和多细胞电压敏感染料记录分析已识别电路中联想学习的分布式表示
  • 批准号:
    10317049
  • 财政年份:
    2018
  • 资助金额:
    $ 33.45万
  • 项目类别:
Analyses of the Distributed Representation of Associative-Learning in an Identified Circuit Using a Combination of Single-Cell Electrophysiology and Multicellular Voltage-Sensitive Dye Recordings
结合单细胞电生理学和多细胞电压敏感染料记录分析已识别电路中联想学习的分布式表示
  • 批准号:
    10539225
  • 财政年份:
    2018
  • 资助金额:
    $ 33.45万
  • 项目类别:
Modeling Gene Regulation Essential for Long-Term Plasticity
对长期可塑性至关重要的基因调控建模
  • 批准号:
    8652842
  • 财政年份:
    2011
  • 资助金额:
    $ 33.45万
  • 项目类别:
Modeling Gene Regulation Essential for Long-Term Plasticity
对长期可塑性至关重要的基因调控建模
  • 批准号:
    8258707
  • 财政年份:
    2011
  • 资助金额:
    $ 33.45万
  • 项目类别:
Modeling Gene Regulation Essential for Long-Term Plasticity
对长期可塑性至关重要的基因调控建模
  • 批准号:
    8464817
  • 财政年份:
    2011
  • 资助金额:
    $ 33.45万
  • 项目类别:

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  • 批准号:
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  • 批准号:
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  • 批准号:
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