Cargando…
A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies
Exposure to synchronous but spatially disparate auditory and visual stimuli produces a perceptual shift of sound location towards the visual stimulus (ventriloquism effect). After adaptation to a ventriloquism situation, enduring sound shift is observed in the absence of the visual stimulus (ventril...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3818813/ https://www.ncbi.nlm.nih.gov/pubmed/24228250 http://dx.doi.org/10.1155/2013/475427 |
_version_ | 1782289904219193344 |
---|---|
author | Magosso, Elisa Cona, Filippo Ursino, Mauro |
author_facet | Magosso, Elisa Cona, Filippo Ursino, Mauro |
author_sort | Magosso, Elisa |
collection | PubMed |
description | Exposure to synchronous but spatially disparate auditory and visual stimuli produces a perceptual shift of sound location towards the visual stimulus (ventriloquism effect). After adaptation to a ventriloquism situation, enduring sound shift is observed in the absence of the visual stimulus (ventriloquism aftereffect). Experimental studies report opposing results as to aftereffect generalization across sound frequencies varying from aftereffect being confined to the frequency used during adaptation to aftereffect generalizing across some octaves. Here, we present an extension of a model of visual-auditory interaction we previously developed. The new model is able to simulate the ventriloquism effect and, via Hebbian learning rules, the ventriloquism aftereffect and can be used to investigate aftereffect generalization across frequencies. The model includes auditory neurons coding both for the spatial and spectral features of the auditory stimuli and mimicking properties of biological auditory neurons. The model suggests that different extent of aftereffect generalization across frequencies can be obtained by changing the intensity of the auditory stimulus that induces different amounts of activation in the auditory layer. The model provides a coherent theoretical framework to explain the apparently contradictory results found in the literature. Model mechanisms and hypotheses are discussed in relation to neurophysiological and psychophysical data. |
format | Online Article Text |
id | pubmed-3818813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38188132013-11-13 A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies Magosso, Elisa Cona, Filippo Ursino, Mauro Biomed Res Int Research Article Exposure to synchronous but spatially disparate auditory and visual stimuli produces a perceptual shift of sound location towards the visual stimulus (ventriloquism effect). After adaptation to a ventriloquism situation, enduring sound shift is observed in the absence of the visual stimulus (ventriloquism aftereffect). Experimental studies report opposing results as to aftereffect generalization across sound frequencies varying from aftereffect being confined to the frequency used during adaptation to aftereffect generalizing across some octaves. Here, we present an extension of a model of visual-auditory interaction we previously developed. The new model is able to simulate the ventriloquism effect and, via Hebbian learning rules, the ventriloquism aftereffect and can be used to investigate aftereffect generalization across frequencies. The model includes auditory neurons coding both for the spatial and spectral features of the auditory stimuli and mimicking properties of biological auditory neurons. The model suggests that different extent of aftereffect generalization across frequencies can be obtained by changing the intensity of the auditory stimulus that induces different amounts of activation in the auditory layer. The model provides a coherent theoretical framework to explain the apparently contradictory results found in the literature. Model mechanisms and hypotheses are discussed in relation to neurophysiological and psychophysical data. Hindawi Publishing Corporation 2013 2013-10-21 /pmc/articles/PMC3818813/ /pubmed/24228250 http://dx.doi.org/10.1155/2013/475427 Text en Copyright © 2013 Elisa Magosso et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Magosso, Elisa Cona, Filippo Ursino, Mauro A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies |
title | A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies |
title_full | A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies |
title_fullStr | A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies |
title_full_unstemmed | A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies |
title_short | A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies |
title_sort | neural network model can explain ventriloquism aftereffect and its generalization across sound frequencies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3818813/ https://www.ncbi.nlm.nih.gov/pubmed/24228250 http://dx.doi.org/10.1155/2013/475427 |
work_keys_str_mv | AT magossoelisa aneuralnetworkmodelcanexplainventriloquismaftereffectanditsgeneralizationacrosssoundfrequencies AT conafilippo aneuralnetworkmodelcanexplainventriloquismaftereffectanditsgeneralizationacrosssoundfrequencies AT ursinomauro aneuralnetworkmodelcanexplainventriloquismaftereffectanditsgeneralizationacrosssoundfrequencies AT magossoelisa neuralnetworkmodelcanexplainventriloquismaftereffectanditsgeneralizationacrosssoundfrequencies AT conafilippo neuralnetworkmodelcanexplainventriloquismaftereffectanditsgeneralizationacrosssoundfrequencies AT ursinomauro neuralnetworkmodelcanexplainventriloquismaftereffectanditsgeneralizationacrosssoundfrequencies |