Mapping the Dynamics of a Neural Network

Guckenheimer 9418041 在这个多学科项目中，康奈尔大学的研究人员和他的同事以及伊萨卡学院的Peck专注于口胃神经节的研究。 这个大约有30个神经元的小神经网络是一个协调胃磨运动的中央模式发生器 和幽门。 研究人员根据实验测量构建单个神经元的房室模型，并将其合并为子网络模型。 这些系统提供了一个试验平台，为开发算法，探索动力系统的分叉。 特别注意的是那些涉及多个时间尺度的系统方面。 该项目的目标是提高对生物系统动力学过程的理解，重点是神经系统。 研究人员在多学科环境中工作，结合实验和数学建模，适当关注数学和神经科学，并确保两者在工作中始终相互作用。 更大的目标是在特定的qsystems的背景下追求，即研究一个小的神经回路，控制节奏的运动， 龙虾的前肠 该模型系统已被选定为它的适度的大小和实验操作的可访问性。 该项目旨在了解神经系统如何在运动和运动之间切换 以及它们如何调节这些模式。 ***

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. ***