Intrinsic Plasticity in Oscillatory Neural Networks

振荡神经网络的内在可塑性

• 批准号: 7224817
• 负责人: EVE E MARDER
• 金额: $ 32.58万
• 依托单位: BRANDEIS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-04-01 至 2010-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7224817
• 关键词: Animals; Beds; Biological Neural Networks; Cells; Chromosome Pairing; Classification; Crustacea; Data; Databases; Facility Construction Funding Category; Failure; Feedback; Fire - disasters; Funding; Ganglia; Grant; Homeostasis; Hour; In Vitro; Ion Channel; Measurable; Measurement; Measures; Membrane; Mental disorders; Modeling; Motor; Motor output; Myxoid cyst; Nature; Nervous system structure; Neurons; Numbers; Output; Pattern; Performance; Preparation; Procedures; Process; Property; Proteins; Range; Recovery; Recovery of Function; Regulation; Research; Signal Transduction; Synapses; Synaptic Receptors; Synaptic Transmission; Testing; Variant; Week; Work; base; computer studies; day; in vivo; mathematical model; nervous system disorder; network models; neuron component; novel; receptor; research study; self assembly

DESCRIPTION (provided by applicant): Neuronal networks must maintain constant performance for many years despite the fact that the ion channels and receptors that control excitability and synaptic transmission turn over in the membrane in hours, days, or weeks. Some neurological disorders and mental illnesses can be viewed as failures of network homeostasis, and therefore it becomes crucial to understand how stable network function is achieved over the lifetime of an animal. This proposal consists of combined experimental and computational work to ask whether network homeostasis can arise from cell autonomous regulation, or to what extent correlated activity measures or global feedback rules are required to maintain stable network function. The pyloric network of the crustacean stomatogastric nervous system is an ideal test-bed for these studies because the pyloric rhythm provides an easily measurable set of motor output patterns, its fictive motor patterns recorded in vitro resemble closely the motor patterns seen in vivo, and because a great deal is known about the identity of the neurons and their synaptic interactions. The proposed work will test the hypothesis that there is more animal-to-animal variance in the properties of single neurons and their synaptic connections than is found in the network output, because multiple combinations of synaptic strengths and intrinsic properties can be used by different animals to produce similar motor patterns. The proposed work includes quantitative analyses of pyloric motor patterns in vivo and in vitro, quantitative measurements of the intrinsic firing properties of single neurons, and quantitative measurements of synaptic strengths. Additionally it includes construction and analysis of databases of model neurons and model pyloric networks and computational studies of the tuning rules required to achieve network homeostasis.

描述（由申请人提供）：神经元网络必须保持多年的恒定性能，尽管事实是控制兴奋性和突触传播的离子通道和受体在数小时，几天或几周内在膜中转移。一些神经系统疾病和精神疾病可以看作是网络稳态的失败，因此了解动物一生中如何实现稳定的网络功能至关重要。该提案由实验和计算工作组成，询问网络自主调节是否可以引起网络稳态，或者需要在多大程度上相关的活动度量或全球反馈规则以维持稳定的网络功能。甲壳类气孔胃神经系统的幽门网络是这些研究的理想测试床，因为幽门节奏提供了一组易于测量的运动输出模式，其虚构的运动模式在体外记录的虚拟运动模式非常相似，并且在体内看到的运动模式，并且由于已经知道了很多关于神经元和其语法相互作用的知识。拟议的工作将检验以下假设：单个神经元的性质及其突触连接的性能比网络输出中的差异更大，因为突触强度的多种组合可以被不同动物的突触强度和内在特性组合来产生相似的运动模式。拟议的工作包括对体内幽门运动模式的定量分析，并在体外，对单个神经元的固有点火特性的定量测量以及突触强度的定量测量。此外，它包括模型神经元和模型幽门网络数据库的构建和分析以及实现网络稳态所需的调整规则的计算研究。