Intrinsic Phase Regulation in a Small Neural Network

小型神经网络中的固有相位调节

• 批准号: 9309986
• 负责人: Scott Hooper
• 金额: $ 22.42万
• 依托单位: Ohio University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-08-15 至 1997-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309986&HistoricalAwards=false
• 关键词: Intrinsic; Phase; Regulation; Small; Neural

9309986 Hooper This proposal outlines a combination of electrophysiological experiments and computer simulations on a small, well described invertebrate distributed neural network (the lobster pyloric network) aimed at elucidating these design principles. The pyloric network contains neurons with long lasting active properties, can assume multiple functional configurations, and produces a rhythmic multiphase output. The network has a remarkable dynamic property that may be analogous to the ability to process inputs over a wide temporal range: it maintains constant phase and duty cycle relationships within the pattern as pattern cycle frequency changes. The experimental advantages of this preparation allow all the network's neurons to be individually characterized, and the network to be simulated on the level of the individual conductances of its neurons. It is thus a excellent preparation in which to study the questions outlined above. This work will show how cellular and synaptic properties lead to emergent network functional properties, and elucidate fundamental mechanisms of dynamic regulation in distributed neural networks.***

小行星9309986 该建议概述了一个小的，良好的描述无脊椎动物分布式神经网络（龙虾幽门网络），旨在阐明这些设计原则的电生理实验和计算机模拟的组合。 幽门网络包含具有持久活性特性的神经元，可以呈现多种功能配置，并产生有节奏的多相输出。 该网络有一个显着的动态特性，可以类似于在很宽的时间范围内处理输入的能力：它保持恒定的相位和占空比的模式内的模式周期频率的变化关系。 这种制备的实验优势允许所有网络的神经元被单独表征，并且网络在其神经元的个体电导的水平上被模拟。 因此，这是研究上述问题的一个很好的准备。 这项工作将展示细胞和突触特性如何导致涌现的网络功能特性，并阐明分布式神经网络中动态调节的基本机制。