Stability and Flexibility of Oscillatory Neural Circuits

描述：(摘自申请人的摘要) 振荡神经回路如何产生时空活动模式 它们在噪声存在的情况下是健壮的，但又足够灵活地提供 对投入的特定、可重复的、适应性的反应？这个问题是中心问题 到感觉处理和运动协调。我们对此采取的方法 问题涉及一支久负盛名、富有成效的跨学科团队 生物学、物理学和非线性动力学。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学研究 来自甲壳类口胃的易驯服的振荡马达电路 系统。具体地说，我们问：特定的膜特性，突触是如何 优势和动力，以及电路架构对生产都有贡献 多种、稳定和可控的模式？这些特征是如何， 以及它们的调制，影响对噪声和控制信号的动态响应？

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?