Stability and Flexibility of Oscillatory Neural Circuits

振荡神经回路的稳定性和灵活性

• 批准号: 6639655
• 负责人: Allen Israel Selverston
• 金额: $ 37.22万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-01 至 2005-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6639655
• 关键词: calcium ion; central nervous system; computer simulation; flash photolysis; ganglions; membrane potentials; neural information processing; neuroanatomy; neurons; neurophysiology; neuroregulation; sensorimotor system; stimulus /response; synapses; voltage /patch clamp

DESCRIPTION:(from applicant's abstract) How can oscillatory neural circuits generate spatio-temporal activity patterns that are robust in the presence of noise yet flexible enough to provide specific, reproducible, adaptive responses to inputs? This problem is central to sensory processing as well as motor coordination. Our approach to this question involves a well-established and productive, interdisciplinary team from Biology, Physics and Nonlinear Dynamics. It combines nonlinear dynamical analysis, computational and electronic modeling, and neurophysiological studies of a tractable, oscillatory motor circuit from the crustacean stomatogastric system. Specifically, we ask: How do particular membrane properties, synaptic strengths and kinetics, and circuit architectures contribute to the production of multiple, stable and controllable patterns? How do these characteristics, and their modulation, affect dynamical responses to noise and control signals?

描述：（从申请人的摘要中） 振荡性神经回路如何产生时空活动模式 在存在噪音的情况下，这种稳健却足够灵活以提供 对输入的特定，可再现的自适应反应？这个问题是中心 进行感官处理以及运动协调。我们对此的方法 问题涉及一支成熟且富有成效的跨学科团队 来自生物学，物理和非线性动力学。它结合了非线性动力学 分析，计算和电子建模以及神经生理研究 来自甲壳类气孔的可拖动的振荡电机电路 系统。具体来说，我们问：特定的膜特性，突触如何 优势和动力学以及电路架构有助于生产 多种，稳定且可控的模式？这些特征如何 及其调制，影响对噪声和控制信号的动态响应？