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Developmental learning involves nonsynaptic plasticity

Developmental learning involves nonsynaptic plasticity
发展性学习涉及非突触可塑性
批准号:
1656360
负责人:
James Johnson
金额:
$80.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-04-15 至 2023-03-31

项目摘要

项目成果

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中文摘要
翻译
许多神经科学家将学习解释为神经细胞之间称为突触的专门连接的数量和/或强度的简单变化。这个研究项目测试了一个新的想法,即学习也重要地涉及神经细胞其他部分的分子变化,这些部分控制着这些细胞相互交流所需的电活动的产生。学习是在幼鸟如何学习唱歌的背景下研究的,这与人类如何学习说话,演奏乐器或产生任何复杂的行为序列相似。通过结合行为观察和记录以及解剖学,生理学,分子,计算和统计技术,研究小组将测试这一假设,即发育中的歌唱变化伴随着不位于突触的细胞电活动的变化。他们还将确定这些电气变化的机械基础。这项研究将揭示大脑如何在一生中存储学习信息的重要新细节。它还将为学生研究助理提供广泛的多学科培训,以及开发新的分析软件和计算模型,这将有利于更广泛的神经科学界(这些将通过公开访问的网站免费提供)。还将制作针对特定国家规定的高中学习目标的神经科学和数学视频,这些视频将通过编目的国家门户网站提供给教师。最后,研究小组进行了各种各样的社区教育计划,特别是与神经科学,鸟鸣和学习。 这些活动包括为K-12学校提供的项目以及为老年人提供的学术课程。因此,科学家们知道在哪里寻找学习引起的变化(一个名为HVC的区域),但他们不知道是什么神经变化编码了歌曲的听觉记忆。这项研究测试了HVC神经元中特定的非突触离子电流的变化有助于听觉记忆编码的新假设。鸣禽的听觉学习可以很容易地通过控制对导师歌曲的暴露来操纵。初步数据表明,内在的细胞体/轴突通道特性的HVC神经元的变化在一个经验依赖的方式在歌曲的发展。研究小组最近对决定成年雀HVC神经元生理学的离子电流的表征和建模现在允许进行拟议的发育研究。拟议的研究将测试有关特定离子电流的发展出现的假设,因为它们与感觉学习有关。这将导致可测试的假设,对负责这种学习的潜在分子机制。作为该项目的一部分,该团队还将纠正有关雌性斑胸草雀HVC的错误观点。长期以来,人们认为HVC缺乏男性典型的连接性,新的数据表明,女性和男性HVC具有相同的细胞类型和外部连接模式。由于女性表现出听觉学习辅导歌,但不唱歌,女性HVC的分析将提供一个关键的测试所提出的假设。总之,拟议的实验将为有关早期感觉信息如何存储为持续一生的稳定记忆痕迹的基本问题提供线索。
英文摘要
Many neuroscientists explain learning as a simple change in the number and/or strength of specialized connections between nerve cells called synapses. This research project tests a new idea, that learning also importantly involves molecular changes in other parts of nerve cells which control the production of electrical activity required for these cells to communicate with each other. Learning is studied in the context of how young songbirds learn to sing, which happens in a similar way to how humans learn to speak, play a musical instrument, or produce any complicated sequence of behavior. Using a combination of behavioral observation and recording together with anatomical, physiological, molecular, computational and statistical techniques, the research team will test the hypothesis that developmental singing changes are accompanied by changes in cell electrical activity that are not located at synapses. They will also identify the mechanistic basis for these electrical changes. This research will reveal important new details about how the brain can store learned information for an entire lifetime. It will also provide student research assistants with broad multidisciplinary training, as well as developing new analytical software and computational models that will benefit the broader neuroscience community (these will be made freely available through a publically-accessible web site). Neuroscience and mathematics videos tagged to specific State-mandated high school learning objectives will also be produced, which will be made available to teachers via a cataloged State portal. Finally, the research team conducts a wide variety of community education programs specifically related to neuroscience, birdsong, and learning. These activities include programs for K-12 schools as well as a scholarly course for senior citizens.Much is known about the brain areas and circuits that underlie birdsong learning. Consequently, scientists know where to look for learning-induced changes (an area named HVC), but they do not know what neural changes encode the auditory memories of song. The proposed research tests the novel hypothesis that changes in specific, non-synaptic ionic currents in HVC neurons contribute to the encoding of auditory memories. Songbird auditory learning can be readily manipulated by controlling exposure to a tutor song. Preliminary data show that the intrinsic cell body/axonal channel properties of HVC neurons change in an experience-dependent manner during song development. The research team's recent characterization and modeling of the ionic currents that determine the physiology of HVC neurons in the adult finch now allow for the proposed developmental studies. Proposed studies will test hypotheses about the developmental emergence of specific ionic currents as they relate to sensory learning. This will lead to testable hypotheses about the underlying molecular mechanisms responsible for this learning. As part of this project, the team will also correct mistaken views about HVC of female zebra finches. Long thought to lack male-typical connectivity, new data show that female and male HVC have the same cell types and patterns of extrinsic connectivity. Since females show auditory learning of tutor song, but do not sing, analysis of female HVC will provide a critical test of the proposed hypotheses. Together, the proposed experiments will provide clues to fundamental questions about how early sensory information is stored as a stable memory trace that lasts a lifetime.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1523/jneurosci.1036-18.2018
发表时间: 2019-02-13
期刊: JOURNAL OF NEUROSCIENCE
影响因子: 5.3
作者: [Ross, Matthew T., Flores, Diana, Hyson, Richard L.]
通讯作者: Hyson, Richard L.
DOI: 10.1016/j.conb.2020.04.004
发表时间: 2020-10-01
期刊: CURRENT OPINION IN NEUROBIOLOGY
影响因子: 5.7
作者: [Bertram, Richard, Hyson, Richard L., Johnson, Frank]
通讯作者: Johnson, Frank
DOI: 10.1152/jn.00447.2017
发表时间: 2018-01-01
期刊: JOURNAL OF NEUROPHYSIOLOGY
影响因子: 2.5
作者: [Carroll, Briana J., Bertram, Richard, Hyson, Richard L.]
通讯作者: Hyson, Richard L.
Parallel Encoding of Sequence and Structure in a Motor Memory Trace
  • 批准号:
    1456965
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $52.06万
  • 财政年份:
    2015
  • 负责人:
    James Johnson
  • 依托单位:
Spatial Organization Of A Neural Network For Serial-Order Behavior
  • 批准号:
    1146607
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $35.0万
  • 财政年份:
    2012
  • 负责人:
    James Johnson
  • 依托单位:
Innovation in Teaching and Learning for Technological Education
  • 批准号:
    0703167
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $169.71万
  • 财政年份:
    2007
  • 负责人:
    James Johnson
  • 依托单位:
International Research Fellowship Program: Syndrome of Voracity in the Australian Redback Spider
  • 批准号:
    0301893
  • 项目类别:
    Fellowship Award
  • 资助金额:
    $11.34万
  • 财政年份:
    2003
  • 负责人:
    James Johnson
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: