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Simulations of information processing, control, and plasticity effects in the olfactory bulb.

机译:嗅球中信息处理,控制和可塑性效应的模拟。

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摘要

The olfactory system processes complex and varied information in its detection, recognition, and memory of odors. The exact functions that the olfactory bulb plays in this processing is still largely unknown. Studies were performed to help reveal bulb functionality in the olfactory system while contributing to the set of computer methods available for the study of neural systems;One interesting property of bulbar neurons is an increase in primary cell firing thresholds with depth. Since increased odor concentrations generally result in higher frequency inputs to the bulb and thus higher summation levels of primary cell membrane potentials, this threshold gradation transforms the frequency-encoded concentration data into a spatial representation in the number of primary cells responding in a single olfactory bulb glomerular region.;Since this transformation relies on temporal summation of post-synaptic potentials (PSPs) to reflect concentration levels, direct physiological modeling of the transformation was possible while providing the added efficiency to permit the simulation of large numbers of cells and synaptic interactions. A novel physiological modeling methodology was developed for these tests that extends the extant physiological models to include time-constant and driving-force interactive effects between post-synaptic inputs. This novel method is derived using linear superposition of inputs to a lumped-circuit cell representation, resulting in a difference-of-exponentials PSP function that is more realistic and flexible than the common empirically-chosen alpha function.;Also, the effects that interneuronal dendritic spines have on bulbar inhibitions were tested using biophysical computer simulations of primary-to-granule dendrodendritic reciprocal interactions. The graded strength properties of these synapses showed that reciprocal inhibitions to primary mitral cells are facilitated by the spine structures without the need of a high gain gradation while reducing lateral inhibition to other mitral cells. Furthermore, increases in the neck axial resistance of the synapsed spine further strengthen the reciprocal response and reduce the lateral inhibition; such resistance changes could therefore result in dendrodendritic synaptic plasticities and olfactory memory operations.
机译:嗅觉系统在其气味的检测,识别和记忆中处理复杂而多样的信息。嗅球在此过程中所起的确切功能仍是未知之数。进行了研究,以帮助揭示嗅觉系统中的灯泡功能,同时为可用于神经系统研究的计算机方法集做出了贡献。延髓神经元的一个有趣特性是原代细胞放电阈值随深度的增加而增加。由于增加的气味浓度通常会导致向灯泡提供更高的频率输入,从而使原代细胞膜电位的总和水平更高,因此,此阈值等级将频率编码的浓度数据转换为单个嗅觉灯泡中响应的原代细胞数量的空间表示。由于这种转化依赖于突触后电位(PSP)的时间总和以反映浓度水平,因此可以对转化进行直接的生理学建模,同时提供更高的效率以允许模拟大量细胞和突触相互作用。针对这些测试开发了一种新颖的生理学建模方法,该方法扩展了现有的生理学模型,以包括突触后输入之间的时间常数和驱动力交互作用。这种新颖的方法是通过将输入与集总电路单元表示形式进行线性叠加而得出的,从而导致指数差异的PSP函数比常见的经验选择的alpha函数更现实,更灵活。树突棘对延髓的抑制作用是利用生物物理计算机模拟的初级至颗粒树突状树突向相互作用进行的。这些突触的强度强度等级显示,脊柱结构促进了对原代二尖瓣细胞的相互抑制,而无需高增益分级,同时减少了对其他二尖瓣细胞的侧向抑制。此外,突触脊柱颈部轴向阻力的增加进一步增强了相互反应并减少了侧向抑制;因此,这种电阻变化可能导致树突状突触可塑性和嗅觉记忆操作。

著录项

  • 作者

    Anton, Philip Sean.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Biology Neuroscience.;Computer Science.
  • 学位 Ph.D.
  • 年度 1991
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经科学;自动化技术、计算机技术;
  • 关键词

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