A two-stage cascade model of BOLD responses in human visual cortex.

Visual neuroscientists have discovered fundamental properties of neural representation through careful analysis of responses to controlled stimuli. Typically, different properties are studied and modeled separately. To integrate our knowledge, it is necessary to build general models that begin with...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kendrick N Kay, Jonathan Winawer, Ariel Rokem, Aviv Mezer, Brian A Wandell
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/1e469bc911d44e37b6e13894df4df3ac
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1e469bc911d44e37b6e13894df4df3ac
record_format	dspace
spelling	oai:doaj.org-article:1e469bc911d44e37b6e13894df4df3ac2021-11-18T05:52:08ZA two-stage cascade model of BOLD responses in human visual cortex.1553-734X1553-735810.1371/journal.pcbi.1003079https://doaj.org/article/1e469bc911d44e37b6e13894df4df3ac2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23737741/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Visual neuroscientists have discovered fundamental properties of neural representation through careful analysis of responses to controlled stimuli. Typically, different properties are studied and modeled separately. To integrate our knowledge, it is necessary to build general models that begin with an input image and predict responses to a wide range of stimuli. In this study, we develop a model that accepts an arbitrary band-pass grayscale image as input and predicts blood oxygenation level dependent (BOLD) responses in early visual cortex as output. The model has a cascade architecture, consisting of two stages of linear and nonlinear operations. The first stage involves well-established computations-local oriented filters and divisive normalization-whereas the second stage involves novel computations-compressive spatial summation (a form of normalization) and a variance-like nonlinearity that generates selectivity for second-order contrast. The parameters of the model, which are estimated from BOLD data, vary systematically across visual field maps: compared to primary visual cortex, extrastriate maps generally have larger receptive field size, stronger levels of normalization, and increased selectivity for second-order contrast. Our results provide insight into how stimuli are encoded and transformed in successive stages of visual processing.Kendrick N KayJonathan WinawerAriel RokemAviv MezerBrian A WandellPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 5, p e1003079 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Kendrick N Kay Jonathan Winawer Ariel Rokem Aviv Mezer Brian A Wandell A two-stage cascade model of BOLD responses in human visual cortex.
description	Visual neuroscientists have discovered fundamental properties of neural representation through careful analysis of responses to controlled stimuli. Typically, different properties are studied and modeled separately. To integrate our knowledge, it is necessary to build general models that begin with an input image and predict responses to a wide range of stimuli. In this study, we develop a model that accepts an arbitrary band-pass grayscale image as input and predicts blood oxygenation level dependent (BOLD) responses in early visual cortex as output. The model has a cascade architecture, consisting of two stages of linear and nonlinear operations. The first stage involves well-established computations-local oriented filters and divisive normalization-whereas the second stage involves novel computations-compressive spatial summation (a form of normalization) and a variance-like nonlinearity that generates selectivity for second-order contrast. The parameters of the model, which are estimated from BOLD data, vary systematically across visual field maps: compared to primary visual cortex, extrastriate maps generally have larger receptive field size, stronger levels of normalization, and increased selectivity for second-order contrast. Our results provide insight into how stimuli are encoded and transformed in successive stages of visual processing.
format	article
author	Kendrick N Kay Jonathan Winawer Ariel Rokem Aviv Mezer Brian A Wandell
author_facet	Kendrick N Kay Jonathan Winawer Ariel Rokem Aviv Mezer Brian A Wandell
author_sort	Kendrick N Kay
title	A two-stage cascade model of BOLD responses in human visual cortex.
title_short	A two-stage cascade model of BOLD responses in human visual cortex.
title_full	A two-stage cascade model of BOLD responses in human visual cortex.
title_fullStr	A two-stage cascade model of BOLD responses in human visual cortex.
title_full_unstemmed	A two-stage cascade model of BOLD responses in human visual cortex.
title_sort	two-stage cascade model of bold responses in human visual cortex.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/1e469bc911d44e37b6e13894df4df3ac
work_keys_str_mv	AT kendricknkay atwostagecascademodelofboldresponsesinhumanvisualcortex AT jonathanwinawer atwostagecascademodelofboldresponsesinhumanvisualcortex AT arielrokem atwostagecascademodelofboldresponsesinhumanvisualcortex AT avivmezer atwostagecascademodelofboldresponsesinhumanvisualcortex AT brianawandell atwostagecascademodelofboldresponsesinhumanvisualcortex AT kendricknkay twostagecascademodelofboldresponsesinhumanvisualcortex AT jonathanwinawer twostagecascademodelofboldresponsesinhumanvisualcortex AT arielrokem twostagecascademodelofboldresponsesinhumanvisualcortex AT avivmezer twostagecascademodelofboldresponsesinhumanvisualcortex AT brianawandell twostagecascademodelofboldresponsesinhumanvisualcortex
_version_	1718424714293018624

A two-stage cascade model of BOLD responses in human visual cortex.

Ejemplares similares