Computational model of cellular plasticity

细胞可塑性的计算模型

• 批准号: 6318432
• 负责人: TERRY J CROW
• 金额: $ 19.39万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-01 至 2001-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6318432
• 关键词: Hermissenda; action potentials; alternatives to animals in research; behavioral /social science research tag; biophysics; computational neuroscience; conditioning; mathematical model; model design /development; molecular psychobiology; neural information processing; neural plasticity; visual pathways; visual photoreceptor; visual stimulus; voltage /patch clamp

The primary goal of this research project is to develop a mathematical model of the light-elicited generator potential and spike generation in the photoreceptors of Hermissenda. Paviovian conditioning of Hermissenda results in the modification of several K+ conductances in identified cells of the pathway supporting the conditioned stimulus (CS). The preparation is especially well suited for a biophysical analysis since the voltage- and light-dependent conductances of identified photoreceptors have been characterized in some detail with voltage-clamp techniques. In addition, conventional cellular neurophysiological techniques have identified several neural correlates of conditioning in the identified photoreceptors of the CS pathway. These recent results provide an opportunity to directly relate biophysical modifications in identified cells to neural correlates of conditioning that are expressed by changes in excitability and synaptic strength. The application of computer simulations of the photoreceptors would be used to help elucidate the role of diverse biophysical changes to the modification of excitability and synaptic strength in identified cells of conditioned animals. The proposal consists of the following four specific aims: 1) Use the voltage and light-dependent conductances of the photoreceptors derived from voltage-clamp studies to develop a quantitative model of the light-elicited generator potentials; 2) Use the quantitative model to examine the correspondence between modifications in various membrane conductances produced by conditioning and the modification of generator potentials and spike frequency predicted by the conductance changes; 3) Use the quantitative model to identify conductance changes that may contribute to the modification of generator potentials and spike frequency produced by conditioning; and 4) Develop a network model of CS pathway activity that incorporates known changes in excitability in identified cells and changes synaptic strength at identified synaptic connections. These duties will provide important insights into our understanding of the physiology of learning and memory.

该研究项目的主要目的是开发一种光吸收发电机潜力和尖峰产生的数学模型，并在Hermissenda的光感受器中产生。 hermissenda的帕维奥维亚调节导致在支持条件刺激（CS）的途径的识别细胞中修饰了几个K+电导。准备工作是 特别适合生物物理分析，因为已通过电压钳技术进行了一些详细的详细表征，因此已鉴定的光感受器的电压和光依赖性电导。此外，常规的细胞神经生理技术已经确定 CS路径。这些最新结果为将鉴定细胞中的生物物理修饰与调节的神经相关性直接相关的机会提供了机会，这些神经相关性通过兴奋性和突触强度的变化表示。对感光器的计算机模拟的应用将用于帮助阐明各种生物物理变化的作用 在有条件动物的识别细胞中修饰兴奋性和突触强度。该提案由以下四个特定目的组成：1）使用从电压钳研究中得出的感光体的电压和光依赖性电导来开发 光吸收发电机电位的定量模型； 2）使用定量模型检查通过调节产生的各种膜电导的修饰与发电机电位和尖峰频率的修饰之间的对应关系； 3）使用定量模型识别 电导变化可能有助于通过调节产生的发电机电位和尖峰频率的变化； 4）开发一个CS途径活动的网络模型，该模型在已识别的细胞中融合了兴奋性的已知变化，并在已识别的突触连接处的突触强度变化。这些职责将为我们的重要见解 了解学习和记忆的生理学。