Principles of multi-whisker stimulus integration in rodent somatosensory cortex

啮齿动物体感皮层多晶须刺激整合原理

基本信息

  • 批准号:
    10358532
  • 负责人:
  • 金额:
    $ 8.07万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-28 至 2023-02-28
  • 项目状态:
    已结题

项目摘要

Project Summary Integration of sensory signals is crucial for sensory processing in the brain. Rodent whisker somatosensory cortex (S1) provides a powerful system to study this, because neurons integrate tactile information across a discrete array of whiskers. S1 circuitry is well characterized, but tactile representation remains poorly understood. Most studies have focused S1 encoding of single-whisker deflections. This stimuli elicit low-probability spiking, relatively weak somatotopic tuning, and highly similar receptive fields and maps in thalamus and across cortical layers. This weak- redundant code suggests that S1 neurons may code for more complex stimuli than single-whisker deflections. My project tests whether S1 neurons code for multi-whisker stimuli, which are generated during natural whisker sensation. I propose that multi-whisker tuning is achieved by linear and non-linear integration and that multi- whisker features are represented in a novel topographic map in S1. Aim 1 describes past work in which I extensively characterized multi-whisker tuning to 2-whisker sequences, which represent a tractable and important subset of multi-whisker stimuli. I discovered that many neurons have strong spatiotemporal tuning for specific 2- whisker sequences at specific inter-whisker-deflection-intervals (Δt). I found that a combination of linear and nonlinear mechanisms construct and enhance spatial selectivity, with prominent sublinear suppression of non-preferred stimuli. I also discovered principles governing Δt tuning and that it enhances spatial selectivity for 2-whisker sequences, thus defining general computations underlying multi-whisker integration In Aim2, I will use 2-photon Ca2+ imaging to determine the representation of 2-whisker sequences at the population level. While neurons in L2/3 of S1 are highly intermixed by single-whisker tuning (Sato et al. 2007, Clancy KB et al. 2015), I propose that discrete cortical columns will be apparent if receptive fields are defined in terms of 2-whisker sequences. My results suggest that the edges of each column will be defined by a ring of spatiotemporally selective neurons that form discrete borders between columns through sharp differences in Δt tuning. Also, by imaging many neurons simultaneously, I will test whether firing correlations between spatiotemporally selective and non-selective units provide a robust population level code for 2-whisker sequences. This will greatly strengthen our understanding of how S1 represents multi-whisker stimuli. In Aim 3, I plan to extend my study of active sensory systems by studying the role of motor circuits in perception during active sensation. Overall, my research plan will contribute significantly to understanding how the brain integrates sensory and motor signals to generate accurate percepts of the world.
项目摘要 感觉信号的整合对于大脑中的感觉处理至关重要。啮齿动物须状体感觉皮层 (S1)提供了一个强大的系统来研究这一点,因为神经元通过离散阵列整合触觉信息, 胡须。S1电路的特点很好,但触觉表征仍然知之甚少。大多数研究 集中了单须偏转的S1编码。这种刺激引起低概率尖峰,相对较弱 躯体位置调谐,以及丘脑和皮层中高度相似的感受野和地图。如此虚弱- 冗余编码表明,S1神经元可能比单须偏转编码更复杂的刺激。 我的项目测试S1神经元是否编码多胡须刺激,这是在自然胡须产生的 感觉。我建议,多须调谐是通过线性和非线性集成,多, 晶须特征在S1中的新颖地形图中表示。目标1描述了我过去的工作, 特征的多须调整到2须序列,这代表了一个易于处理的和重要的子集, 多须刺激。我发现许多神经元对特定的2- 特定晶须间偏转间隔(Δt)的晶须序列。我发现线性组合 和非线性机制构建和增强空间选择性,具有突出的次线性抑制, 非首选刺激。我还发现了Δt调谐的原理, 对于2晶须序列,从而定义了多晶须集成的一般计算 在Aim 2中,我将使用双光子Ca 2+成像来确定群体中2-须序列的代表性 水平而S1的L2/3中的神经元通过单须调谐高度混合(Sato等人,2007,Clancy KB等人,2008)。 2015),我提出,离散的皮质柱将是明显的,如果感受野定义的2-须 序列的我的研究结果表明,每列的边缘将被定义为一个环的时空选择性 神经元通过Δt调谐的急剧差异在列之间形成离散边界。此外,通过成像许多 神经元同时,我将测试是否发射时空选择性和非选择性之间的相关性 单元为2-须状序列提供了鲁棒的总体水平代码。这将大大加强我们对 S1如何代表多须刺激。在目标3中,我计划通过学习 运动回路在主动感觉中的作用。总的来说,我的研究计划将大大有助于 了解大脑如何整合感觉和运动信号,以产生对世界的准确感知。

项目成果

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Keven J Laboy-Juarez的其他文献

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