Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.

A number of neuroimaging techniques have been employed to understand how visual information is transformed along the visual pathway. Although each technique has spatial and temporal limitations, they can each provide important insights into the visual code. While the BOLD signal of fMRI can be quite...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bruce C Hansen, Michelle R Greene, David J Field
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/a39b3c62baeb46748c78af6203c0b14f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a39b3c62baeb46748c78af6203c0b14f
record_format	dspace
spelling	oai:doaj.org-article:a39b3c62baeb46748c78af6203c0b14f2021-12-02T19:58:14ZDynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.1553-734X1553-735810.1371/journal.pcbi.1009456https://doaj.org/article/a39b3c62baeb46748c78af6203c0b14f2021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009456https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358A number of neuroimaging techniques have been employed to understand how visual information is transformed along the visual pathway. Although each technique has spatial and temporal limitations, they can each provide important insights into the visual code. While the BOLD signal of fMRI can be quite informative, the visual code is not static and this can be obscured by fMRI's poor temporal resolution. In this study, we leveraged the high temporal resolution of EEG to develop an encoding technique based on the distribution of responses generated by a population of real-world scenes. This approach maps neural signals to each pixel within a given image and reveals location-specific transformations of the visual code, providing a spatiotemporal signature for the image at each electrode. Our analyses of the mapping results revealed that scenes undergo a series of nonuniform transformations that prioritize different spatial frequencies at different regions of scenes over time. This mapping technique offers a potential avenue for future studies to explore how dynamic feedforward and recurrent processes inform and refine high-level representations of our visual world.Bruce C HansenMichelle R GreeneDavid J FieldPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1009456 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Bruce C Hansen Michelle R Greene David J Field Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.
description	A number of neuroimaging techniques have been employed to understand how visual information is transformed along the visual pathway. Although each technique has spatial and temporal limitations, they can each provide important insights into the visual code. While the BOLD signal of fMRI can be quite informative, the visual code is not static and this can be obscured by fMRI's poor temporal resolution. In this study, we leveraged the high temporal resolution of EEG to develop an encoding technique based on the distribution of responses generated by a population of real-world scenes. This approach maps neural signals to each pixel within a given image and reveals location-specific transformations of the visual code, providing a spatiotemporal signature for the image at each electrode. Our analyses of the mapping results revealed that scenes undergo a series of nonuniform transformations that prioritize different spatial frequencies at different regions of scenes over time. This mapping technique offers a potential avenue for future studies to explore how dynamic feedforward and recurrent processes inform and refine high-level representations of our visual world.
format	article
author	Bruce C Hansen Michelle R Greene David J Field
author_facet	Bruce C Hansen Michelle R Greene David J Field
author_sort	Bruce C Hansen
title	Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.
title_short	Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.
title_full	Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.
title_fullStr	Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.
title_full_unstemmed	Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.
title_sort	dynamic electrode-to-image (deti) mapping reveals the human brain's spatiotemporal code of visual information.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/a39b3c62baeb46748c78af6203c0b14f
work_keys_str_mv	AT brucechansen dynamicelectrodetoimagedetimappingrevealsthehumanbrainsspatiotemporalcodeofvisualinformation AT michellergreene dynamicelectrodetoimagedetimappingrevealsthehumanbrainsspatiotemporalcodeofvisualinformation AT davidjfield dynamicelectrodetoimagedetimappingrevealsthehumanbrainsspatiotemporalcodeofvisualinformation
_version_	1718375793601544192

Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.

Ejemplares similares