Neural network model of prepulse inhibition.

Published

Journal Article

The authors introduce a real-time model of acoustic prepulse inhibition (PPI) and facilitation (PPF) in animals and humans. The model incorporates excitatory and facilitatory pathways activated by the positive value of changes in noise level in the environment and an inhibitory pathway activated by the absolute value of changes in noise level. Whereas excitation and facilitation are exponential functions, inhibition is a linear function of the input noise expressed in decibels. The model describes many properties of PPI and PPF that include, among others, their dependency on prepulse intensity and duration, duration of the lead interval, and changes in background noise. The model also describes how specific brain lesions enhance the strength of the startle response and impair PPI. Finally, the model correctly predicts how PPI depends on pulse intensity.

Full Text

Cited Authors

  • Schmajuk, NA; Larrauri, JA

Published Date

  • December 2005

Published In

Volume / Issue

  • 119 / 6

Start / End Page

  • 1546 - 1562

PubMed ID

  • 16420158

Pubmed Central ID

  • 16420158

Electronic International Standard Serial Number (EISSN)

  • 1939-0084

International Standard Serial Number (ISSN)

  • 0735-7044

Digital Object Identifier (DOI)

  • 10.1037/0735-7044.119.6.1546

Language

  • eng