Functional Roles for Short-term Synaptic Plasticity in Neuronal Networks

神经元网络中短期突触可塑性的功能作用

• 批准号: 0315862
• 负责人: Amitabha Bose
• 金额: $ 35.53万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-15 至 2007-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0315862&HistoricalAwards=false
• 关键词: Functional; Roles; Short; term; Synaptic

Bose, Booth The primary goal of this project is to derive generalprinciples that underlie how short-term synaptic plasticity(STSP) is utilized by neuronal networks in three differentcomputational and architectural settings. These settings aremotivated by concrete biological examples arising in crustaceanstomatogastric ganglion (STG), rat hippocampus, and cortex.Specific aims include determining the effect on phase maintenanceof multiple depressing synapses and intrinsic cell properties inpacemaker-driven networks, determining how multiple depressingsynapses can introduce multiple, co-existent stable firingpatterns in reciprocally-connected networks, and determining howdepressing excitatory and inhibitory synaptic inputs in anafferent-driven network can generate frequency-selective, steadystate, and transient network responses. The investigatorsdevelop and use techniques of geometric singular perturbationtheory to project and analyze the dynamics of these complicated,high-dimensional neuronal networks onto lower-dimensional slowmanifolds. These techniques allow them to understand howdifferent synaptic and intrinsic parameters contribute to andmodulate network behavior. They work closely withexperimentalists who, in a parallel research program, areinvestigating the effects of synaptic depression in thecrustacean STG. Synaptic plasticity refers to the ability of a synapse tochange its strength as a function of its usage. It is widelyfound in neuronal circuits across the brain. While experimentalstudies of short=term synaptic plasticity (STSP) are necessarilyfocused on the particulars of the neural system underinvestigation, modeling of the type proposed here can provideinsights into the more general properties of STSP. Theinvestigators study the possibility that seemingly independentroles for STSP can be grouped together based on how the networkarchitecture constrains STSP to operate. Elucidating the generalprinciples behind these operations provides a framework forunderstanding how STSP participates in very diverse neuronalcomputations across brain regions. Due to its interdisciplinarynature, this project is expected to be of interest to members ofthe experimental, computational and analytic neurosciencecommunities. Additionally, the investigators continue to teachcomputational neuroscience and mathematical biology courses thatthey recently developed. Graduate and undergraduate studentshave the opportunity to work directly with their experimentalcollaborators. Thus students become well positioned to continuepursuits in either experimental or theoretical fields, or in anarea that combines the two. This enhances the development of atrained workforce at the critical intersection of mathematics andbiology.

博斯，布斯 这个项目的主要目标是推导出神经元网络在三种不同的计算和结构设置中如何利用短时突触可塑性（STSP）的一般原理。 这些设置是由甲壳动物胃神经节（STG），大鼠海马和皮层中出现的具体生物学例子激发的。具体目标包括确定多个抑制突触和起搏器驱动网络中内在细胞特性对相位维持的影响，确定多个抑制突触如何在相互连接的网络中引入多个共存的稳定放电模式，以及确定在传入驱动网络中抑制兴奋性和抑制性突触输入如何产生频率选择性、稳态和瞬态网络响应。 该演示器开发和使用几何奇异摄动理论的技术来投影和分析这些复杂的，高维神经网络的动力学到低维慢流形。 这些技术使他们能够理解不同的突触和内在参数如何影响和调节网络行为。 他们与实验学家密切合作，在一个平行的研究项目中，他们正在研究甲壳类STG中突触抑制的影响。 突触可塑性指的是突触改变其强度的能力，作为其使用的函数。 它广泛存在于大脑的神经回路中。 虽然短期突触可塑性（STSP）的实验研究必须集中在正在调查的神经系统的细节，这里提出的类型的建模可以提供更普遍的STSP的属性的见解。 调查人员研究的可能性，表面上独立的控制STSP可以分组在一起的基础上如何网络架构约束STSP操作。 阐明这些操作背后的一般原则为理解STSP如何参与跨大脑区域的非常多样化的神经元计算提供了一个框架。 由于其跨学科的性质，该项目预计将是感兴趣的实验，计算和分析神经科学的成员。 此外，研究人员继续教授他们最近开发的计算神经科学和数学生物学课程。 研究生和本科生有机会直接与他们的实验合作者一起工作。 因此，学生可以很好地在实验或理论领域，或在两者结合的领域继续追求。 这增强了在数学和生物学的关键交叉点上的训练有素的劳动力的发展。