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肾小球间抑制网络对嗅球气味代表的影响。

Effect of Interglomerular Inhibitory Networks on Olfactory Bulb Odor Representations.

机构信息

Department of Mathematics, University of Utah, Salt Lake City, Utah 84112

Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, Utah 84112.

出版信息

J Neurosci. 2020 Jul 29;40(31):5954-5969. doi: 10.1523/JNEUROSCI.0233-20.2020. Epub 2020 Jun 19.

DOI:10.1523/JNEUROSCI.0233-20.2020
PMID:32561671
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7392506/
Abstract

Lateral inhibition is a fundamental feature of circuits that process sensory information. In the mammalian olfactory system, inhibitory interneurons called short axon cells (SACs) comprise the first network mediating lateral inhibition between glomeruli, the functional units of early olfactory coding and processing. The connectivity of this network and its impact on odor representations is not well understood. To explore this question, we constructed a computational model of the interglomerular inhibitory network using detailed characterizations of SAC morphologies taken from mouse olfactory bulb (OB). We then examined how this network transformed glomerular patterns of odorant-evoked sensory input (taken from previously-published datasets) as a function of the selectivity of interglomerular inhibition. We examined three connectivity schemes: selective (each glomerulus connects to few others with heterogeneous strength), nonselective (glomeruli connect to most others with heterogenous strength), or global (glomeruli connect to all others with equal strength). We found that both selective and nonselective interglomerular networks could mediate heterogeneous patterns of inhibition across glomeruli when driven by realistic sensory input patterns, but that global inhibitory networks were unable to produce input-output transformations that matched experimental data and were poor mediators of intensity-dependent gain control. We further found that networks whose interglomerular connectivities were tuned by sensory input profile decorrelated odor representations moreeffectively. These results suggest that, despite their multiglomerular innervation patterns, SACs are capable of mediating odorant-specific patterns of inhibition between glomeruli that could, theoretically, be tuned by experience or evolution to optimize discrimination of particular odorants. Lateral inhibition is a key feature of circuitry in many sensory systems including vision, audition, and olfaction. We investigate how lateral inhibitory networks mediated by short axon cells (SACs) in the mouse olfactory bulb (OB) might shape odor representations as a function of their interglomerular connectivity. Using a computational model of interglomerular connectivity derived from experimental data, we find that SAC networks, despite their broad innervation patterns, can mediate heterogeneous patterns of inhibition across glomeruli, and that the canonical model of global inhibition does not generate experimentally observed responses to stimuli. In addition, inhibitory connections tuned by input statistics yield enhanced decorrelation of similar input patterns. These results elucidate how the organization of inhibition between neural elements may affect computations.

摘要

侧抑制是处理感觉信息的电路的基本特征。在哺乳动物嗅觉系统中,称为短轴细胞 (SAC) 的抑制性中间神经元构成了第一个介导嗅球 (OB) 中嗅小球之间侧抑制的网络,嗅小球是早期嗅觉编码和处理的功能单位。这个网络的连接及其对气味表示的影响还不太清楚。为了探索这个问题,我们使用从小鼠嗅球中获得的 SAC 形态的详细特征构建了一个间嗅球抑制网络的计算模型。然后,我们研究了这个网络如何将气味刺激引起的感觉输入的嗅小球模式 (取自先前发表的数据集) 转化为间抑制的选择性的函数。我们检查了三种连接方案:选择性 (每个嗅小球与少数其他嗅小球连接,连接强度不同)、非选择性 (嗅小球与大多数其他嗅小球连接,连接强度不同) 或全局 (嗅小球与所有其他嗅小球连接,连接强度相同)。我们发现,当由真实的感觉输入模式驱动时,选择性和非选择性的间嗅球网络都可以介导嗅小球之间的异质抑制模式,但全局抑制网络无法产生与实验数据匹配的输入-输出转换,并且是强度依赖性增益控制的不良介导者。我们进一步发现,其间嗅球连接由感觉输入谱调节的网络更有效地使气味表示去相关。这些结果表明,尽管 SAC 具有多嗅小球神经支配模式,但它们能够介导嗅小球之间的气味特异性抑制模式,这些模式在理论上可以通过经验或进化来调整,以优化对特定气味的辨别。侧抑制是包括视觉、听觉和嗅觉在内的许多感觉系统电路的关键特征。我们研究了由小鼠嗅球 (OB) 中的短轴细胞 (SAC) 介导的侧抑制网络如何根据它们的间嗅球连接来塑造气味表示。使用从实验数据导出的间嗅球连接的计算模型,我们发现,尽管 SAC 网络具有广泛的神经支配模式,但它们可以介导嗅小球之间的异质抑制模式,而经典的全局抑制模型不会产生对刺激的实验观察到的反应。此外,由输入统计数据调节的抑制连接可增强类似输入模式的去相关。这些结果阐明了神经元件之间抑制的组织如何影响计算。

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Persistent Structural Plasticity Optimizes Sensory Information Processing in the Olfactory Bulb.持续的结构可塑性优化嗅球中的感觉信息处理。
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