Cargando…

Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination

We used psychometric functions to estimate the joint entropy for space discrimination and spatial frequency discrimination. Space discrimination was taken as discrimination of spatial extent. Seven subjects were tested. Gábor functions comprising unidimensionalsinusoidal gratings (0.4, 2, and 10 cpd...

Descripción completa

Detalles Bibliográficos
Autores principales: Silveira, Vladímir de Aquino, Souza, Givago da Silva, Gomes, Bruno Duarte, Rodrigues, Anderson Raiol, Silveira, Luiz Carlos de Lima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900586/
https://www.ncbi.nlm.nih.gov/pubmed/24466158
http://dx.doi.org/10.1371/journal.pone.0086579
_version_ 1782300724142538752
author Silveira, Vladímir de Aquino
Souza, Givago da Silva
Gomes, Bruno Duarte
Rodrigues, Anderson Raiol
Silveira, Luiz Carlos de Lima
author_facet Silveira, Vladímir de Aquino
Souza, Givago da Silva
Gomes, Bruno Duarte
Rodrigues, Anderson Raiol
Silveira, Luiz Carlos de Lima
author_sort Silveira, Vladímir de Aquino
collection PubMed
description We used psychometric functions to estimate the joint entropy for space discrimination and spatial frequency discrimination. Space discrimination was taken as discrimination of spatial extent. Seven subjects were tested. Gábor functions comprising unidimensionalsinusoidal gratings (0.4, 2, and 10 cpd) and bidimensionalGaussian envelopes (1°) were used as reference stimuli. The experiment comprised the comparison between reference and test stimulithat differed in grating's spatial frequency or envelope's standard deviation. We tested 21 different envelope's standard deviations around the reference standard deviation to study spatial extent discrimination and 19 different grating's spatial frequencies around the reference spatial frequency to study spatial frequency discrimination. Two series of psychometric functions were obtained for 2%, 5%, 10%, and 100% stimulus contrast. The psychometric function data points for spatial extent discrimination or spatial frequency discrimination were fitted with Gaussian functions using the least square method, and the spatial extent and spatial frequency entropies were estimated from the standard deviation of these Gaussian functions. Then, joint entropy was obtained by multiplying the square root of space extent entropy times the spatial frequency entropy. We compared our results to the theoretical minimum for unidimensional Gábor functions, 1/4π or 0.0796. At low and intermediate spatial frequencies and high contrasts, joint entropy reached levels below the theoretical minimum, suggesting non-linear interactions between two or more visual mechanisms. We concluded that non-linear interactions of visual pathways, such as the M and P pathways, could explain joint entropy values below the theoretical minimum at low and intermediate spatial frequencies and high contrasts. These non-linear interactions might be at work at intermediate and high contrasts at all spatial frequencies once there was a substantial decrease in joint entropy for these stimulus conditions when contrast was raised.
format Online
Article
Text
id pubmed-3900586
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-39005862014-01-24 Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination Silveira, Vladímir de Aquino Souza, Givago da Silva Gomes, Bruno Duarte Rodrigues, Anderson Raiol Silveira, Luiz Carlos de Lima PLoS One Research Article We used psychometric functions to estimate the joint entropy for space discrimination and spatial frequency discrimination. Space discrimination was taken as discrimination of spatial extent. Seven subjects were tested. Gábor functions comprising unidimensionalsinusoidal gratings (0.4, 2, and 10 cpd) and bidimensionalGaussian envelopes (1°) were used as reference stimuli. The experiment comprised the comparison between reference and test stimulithat differed in grating's spatial frequency or envelope's standard deviation. We tested 21 different envelope's standard deviations around the reference standard deviation to study spatial extent discrimination and 19 different grating's spatial frequencies around the reference spatial frequency to study spatial frequency discrimination. Two series of psychometric functions were obtained for 2%, 5%, 10%, and 100% stimulus contrast. The psychometric function data points for spatial extent discrimination or spatial frequency discrimination were fitted with Gaussian functions using the least square method, and the spatial extent and spatial frequency entropies were estimated from the standard deviation of these Gaussian functions. Then, joint entropy was obtained by multiplying the square root of space extent entropy times the spatial frequency entropy. We compared our results to the theoretical minimum for unidimensional Gábor functions, 1/4π or 0.0796. At low and intermediate spatial frequencies and high contrasts, joint entropy reached levels below the theoretical minimum, suggesting non-linear interactions between two or more visual mechanisms. We concluded that non-linear interactions of visual pathways, such as the M and P pathways, could explain joint entropy values below the theoretical minimum at low and intermediate spatial frequencies and high contrasts. These non-linear interactions might be at work at intermediate and high contrasts at all spatial frequencies once there was a substantial decrease in joint entropy for these stimulus conditions when contrast was raised. Public Library of Science 2014-01-23 /pmc/articles/PMC3900586/ /pubmed/24466158 http://dx.doi.org/10.1371/journal.pone.0086579 Text en © 2014 Silveira et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Silveira, Vladímir de Aquino
Souza, Givago da Silva
Gomes, Bruno Duarte
Rodrigues, Anderson Raiol
Silveira, Luiz Carlos de Lima
Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination
title Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination
title_full Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination
title_fullStr Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination
title_full_unstemmed Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination
title_short Joint Entropy for Space and Spatial Frequency Domains Estimated from Psychometric Functions of Achromatic Discrimination
title_sort joint entropy for space and spatial frequency domains estimated from psychometric functions of achromatic discrimination
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900586/
https://www.ncbi.nlm.nih.gov/pubmed/24466158
http://dx.doi.org/10.1371/journal.pone.0086579
work_keys_str_mv AT silveiravladimirdeaquino jointentropyforspaceandspatialfrequencydomainsestimatedfrompsychometricfunctionsofachromaticdiscrimination
AT souzagivagodasilva jointentropyforspaceandspatialfrequencydomainsestimatedfrompsychometricfunctionsofachromaticdiscrimination
AT gomesbrunoduarte jointentropyforspaceandspatialfrequencydomainsestimatedfrompsychometricfunctionsofachromaticdiscrimination
AT rodriguesandersonraiol jointentropyforspaceandspatialfrequencydomainsestimatedfrompsychometricfunctionsofachromaticdiscrimination
AT silveiraluizcarlosdelima jointentropyforspaceandspatialfrequencydomainsestimatedfrompsychometricfunctionsofachromaticdiscrimination