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

N. A. Schmajuk; J. A. Larrauri; N. Hagenbuch; E. D. Levin; J. Feldon; Kay Yan Benjamin Yee

doi:10.1016/j.bbr.2006.02.021

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

N. A. Schmajuk, J. A. Larrauri, N. Hagenbuch, E. D. Levin, J. Feldon, Kay Yan Benjamin Yee

Research output: Journal article publication › Journal article › Academic research › peer-review

13 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	182-196
Number of pages	15
Journal	Behavioural Brain Research
Volume	170
Issue number	2
DOIs	https://doi.org/10.1016/j.bbr.2006.02.021
Publication status	Published - 30 Jun 2006
Externally published	Yes

Keywords

Background noise
Computational model
Neural networks
Prepulse inhibition
Startle

ASJC Scopus subject areas

Behavioral Neuroscience

More information

10.1016/j.bbr.2006.02.021

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title = "Startle and prepulse inhibition as a function of background noise: A computational and experimental analysis",

abstract = "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.",

keywords = "Background noise, Computational model, Neural networks, Prepulse inhibition, Startle",

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AU - Schmajuk, N. A.

AU - Larrauri, J. A.

AU - Hagenbuch, N.

AU - Levin, E. D.

AU - Feldon, J.

AU - Yee, Kay Yan Benjamin

PY - 2006/6/30

Y1 - 2006/6/30

N2 - 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.

AB - 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.

KW - Background noise

KW - Computational model

KW - Neural networks

KW - Prepulse inhibition

KW - Startle

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

Abstract

Keywords

ASJC Scopus subject areas

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