Mapping the Dynamics of a Neural Network

Guckenheimer 9418041在这个多学科的项目中，这位研究人员和他在康奈尔大学的同事以及伊萨卡学院的Peck专注于口胃神经节的研究。这个由大约30个神经元组成的小型神经网络是一个中央模式生成器，协调甲壳类动物胃磨和幽门的运动。研究人员在实验测量的基础上构建单个神经元的分区模型，并将这些模型合并为子网络模型。这些系统为开发探索动力系统分叉的算法提供了试验台。对涉及多时间尺度的系统的那些方面给予了特别关注。该项目的目标是提高对生物系统动态过程的理解，重点是神经系统。研究人员在多学科的环境中工作，将实验和数学建模结合起来，对数学和神经科学给予应有的关注，并确保两者在工作中随时互动。更大的目标是在特定系统的背景下进行的，即研究控制龙虾前部有节奏运动的小神经回路。该模型系统因其适中的尺寸和便于实验操作而被选中。该项目旨在了解神经系统如何在运动模式之间切换，以及它们是如何调节这些模式的。***

Guckenheimer 9418041 In this multidisciplinary project, the investigator and his colleagues at Cornell University together with Peck at Ithaca College focus upon studies of the stomatogastric ganglion. This small neural network with approximately 30 neurons is a central pattern generator that coordinates movement of the gastric mill and pylorus of crustacea. The investigators construct compartmental models of individual neurons based upon experimental measurements and amalgamate these into models for subnetworks. These systems provide a testbed for the development of algorithms to explore the bifurcations of dynamical systems. Particular attention is given to those aspects of the systems that involve multiple time scales. The goal of the project is to improve understanding of dynamical processes in biological systems, with an emphasis upon neural systems. The investigators work in a multidisciplinary setting, combining experiment and mathematical modeling, giving due attention to both mathematics and neuroscience, and ensuring that the two interact at all times in the work. The larger goals are pursued in the context of specific qystems, namely the study of a small neural circuit that controls rhythmic motions in the foregut of lobsters. This model system has been chosen for its modest size and accessibility for experimental manipulation. The project aims to understand how neural systems switch among motor patterns and how they regulate these patterns. ***