Schmajuk N A, Larrauri J A, Hagenbuch N, Levin E D, Feldon J, Yee B K
Department of Psychological and Brain Sciences, Duke University, NC 27708, USA.
Behav Brain Res. 2006 Jun 30;170(2):182-96. doi: 10.1016/j.bbr.2006.02.021. Epub 2006 Mar 29.
Schmajuk and Larrauri [Schmajuk NA, Larrauri JA. Neural network model of prepulse inhibition. Behav Neurosci 2005;119:1546-62.] introduced a real-time model of acoustic startle, prepulse inhibition (PPI) and facilitation (PPF) in animals and humans. The model assumes that (1) positive values of changes in noise level activate an excitatory and a facilitatory pathway, and (2) absolute values of changes in noise level activate an inhibitory pathway. The model describes many known properties of the phenomena and the effect of brain lesions on startle, PPI, and PPF. The purpose of the present study is to (a) establish the magnitude of startle and PPI as a function of pulse, prepulse, and background intensity, and (b) test the model predictions regarding an inverted-U function that relates startle to the intensity of the background noise.
施马尤克和拉劳里[施马尤克·N·A，拉劳里·J·A。前脉冲抑制的神经网络模型。《行为神经科学》2005年；119:1546 - 1562。]介绍了一种动物和人类听觉惊吓、前脉冲抑制（PPI）和促进（PPF）的实时模型。该模型假设：（1）噪声水平变化的正值激活一条兴奋性通路和一条促进性通路，（2）噪声水平变化的绝对值激活一条抑制性通路。该模型描述了这些现象的许多已知特性以及脑损伤对惊吓、PPI和PPF的影响。本研究的目的是：（a）确定惊吓和PPI幅度作为脉冲、前脉冲和背景强度的函数，以及（b）测试该模型关于将惊吓与背景噪声强度相关联的倒U形函数的预测。
