Startle and prepulse inhibition as a function of background noise: a computational and experimental analysis.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Schmajuk, NA; Larrauri, JA; Hagenbuch, N; Levin, ED; Feldon, J; Yee, BK

Published Date

  • June 30, 2006

Published In

Volume / Issue

  • 170 / 2

Start / End Page

  • 182 - 196

PubMed ID

  • 16569445

International Standard Serial Number (ISSN)

  • 0166-4328

Digital Object Identifier (DOI)

  • 10.1016/j.bbr.2006.02.021


  • eng

Conference Location

  • Netherlands