Literature DB >> 27001497

Visual information representation and rapid-scene categorization are simultaneous across cortex: An MEG study.

Pavan Ramkumar1, Bruce C Hansen2, Sebastian Pannasch3, Lester C Loschky4.   

Abstract

Perceiving the visual world around us requires the brain to represent the features of stimuli and to categorize the stimulus based on these features. Incorrect categorization can result either from errors in visual representation or from errors in processes that lead to categorical choice. To understand the temporal relationship between the neural signatures of such systematic errors, we recorded whole-scalp magnetoencephalography (MEG) data from human subjects performing a rapid-scene categorization task. We built scene category decoders based on (1) spatiotemporally resolved neural activity, (2) spatial envelope (SpEn) image features, and (3) behavioral responses. Using confusion matrices, we tracked how well the pattern of errors from neural decoders could be explained by SpEn decoders and behavioral errors, over time and across cortical areas. Across the visual cortex and the medial temporal lobe, we found that both SpEn and behavioral errors explained unique variance in the errors of neural decoders. Critically, these effects were nearly simultaneous, and most prominent between 100 and 250ms after stimulus onset. Thus, during rapid-scene categorization, neural processes that ultimately result in behavioral categorization are simultaneous and co-localized with neural processes underlying visual information representation.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Confusion matrices; MEG; Multiple linear regression; Multivariate decoding; Scene gist; Spatial envelope; Timing of visual perception

Mesh:

Year:  2016        PMID: 27001497     DOI: 10.1016/j.neuroimage.2016.03.027

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

Review 1.  Contributions of low- and high-level properties to neural processing of visual scenes in the human brain.

Authors:  Iris I A Groen; Edward H Silson; Chris I Baker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-02       Impact factor: 6.237

2.  Disentangling the Independent Contributions of Visual and Conceptual Features to the Spatiotemporal Dynamics of Scene Categorization.

Authors:  Michelle R Greene; Bruce C Hansen
Journal:  J Neurosci       Date:  2020-05-28       Impact factor: 6.167

3.  Modality general and modality specific coding of hedonic valence.

Authors:  V Miskovic; A K Anderson
Journal:  Curr Opin Behav Sci       Date:  2018-01-02

4.  Spatiotemporal dynamics in human visual cortex rapidly encode the emotional content of faces.

Authors:  Diana C Dima; Gavin Perry; Eirini Messaritaki; Jiaxiang Zhang; Krish D Singh
Journal:  Hum Brain Mapp       Date:  2018-06-08       Impact factor: 5.038

5.  Information spreading by a combination of MEG source estimation and multivariate pattern classification.

Authors:  Masashi Sato; Okito Yamashita; Masa-Aki Sato; Yoichi Miyawaki
Journal:  PLoS One       Date:  2018-06-18       Impact factor: 3.240

6.  Category systems for real-world scenes.

Authors:  Matt D Anderson; Erich W Graf; James H Elder; Krista A Ehinger; Wendy J Adams
Journal:  J Vis       Date:  2021-02-03       Impact factor: 2.240

7.  Spatial frequency supports the emergence of categorical representations in visual cortex during natural scene perception.

Authors:  Diana C Dima; Gavin Perry; Krish D Singh
Journal:  Neuroimage       Date:  2018-06-11       Impact factor: 6.556

8.  The Scene Perception & Event Comprehension Theory (SPECT) Applied to Visual Narratives.

Authors:  Lester C Loschky; Adam M Larson; Tim J Smith; Joseph P Magliano
Journal:  Top Cogn Sci       Date:  2019-09-04
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.