Stability and Flexibility of Oscillatory Neural Circuits

描述：（来自申请人摘要） 振荡神经回路如何产生时空活动模式 在噪声存在的情况下是鲁棒的，但足够灵活， 具体的、可重复的、适应性的输入反应？这个问题是核心 感觉处理和运动协调。我们的做法是 一个问题涉及一个成熟的、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 甲壳类动物的口胃 系统具体地说，我们要问：特定的膜特性，突触 强度和动力学，以及电路架构有助于生产 多种稳定可控的模式这些特征， 和它们的调制，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?