Intrinsic Phase Regulation in a Small Neural Network

9309986胡珀这项建议概述了电生理实验和计算机模拟的组合，该网络是一个小型的、描述良好的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。幽门网络包含具有持久活动特性的神经元，可以承担多种功能配置，并产生有节奏的多时相输出。该网络具有显著的动态特性，其可类似于在宽时间范围内处理输入的能力：随着图案周期频率的改变，它在图案内保持恒定的相位和占空比关系。这种制备的实验优势允许对网络的所有神经元进行单独的表征，并在其神经元的单个电导的水平上对网络进行模拟。因此，这是研究上述问题的极好准备。这项工作将展示细胞和突触特性如何导致新出现的网络功能特性，并阐明分布式神经网络中动态调节的基本机制。

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.***