Literature DB >> 23615546

Compressive spatial summation in human visual cortex.

Kendrick N Kay1, Jonathan Winawer, Aviv Mezer, Brian A Wandell.   

Abstract

Neurons within a small (a few cubic millimeters) region of visual cortex respond to stimuli within a restricted region of the visual field. Previous studies have characterized the population response of such neurons using a model that sums contrast linearly across the visual field. In this study, we tested linear spatial summation of population responses using blood oxygenation level-dependent (BOLD) functional MRI. We measured BOLD responses to a systematic set of contrast patterns and discovered systematic deviation from linearity: the data are more accurately explained by a model in which a compressive static nonlinearity is applied after linear spatial summation. We found that the nonlinearity is present in early visual areas (e.g., V1, V2) and grows more pronounced in relatively anterior extrastriate areas (e.g., LO-2, VO-2). We then analyzed the effect of compressive spatial summation in terms of changes in the position and size of a viewed object. Compressive spatial summation is consistent with tolerance to changes in position and size, an important characteristic of object representation.

Entities:  

Keywords:  fMRI; human visual cortex; population receptive field; spatial nonlinearity; spatial summation

Mesh:

Year:  2013        PMID: 23615546      PMCID: PMC3727075          DOI: 10.1152/jn.00105.2013

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  80 in total

1.  Orientation-specific adaptation in human visual cortex.

Authors:  Geoffrey M Boynton; Eva M Finney
Journal:  J Neurosci       Date:  2003-09-24       Impact factor: 6.167

2.  Resampling fMRI time series.

Authors:  Ola Friman; Carl-Fredrik Westin
Journal:  Neuroimage       Date:  2005-04-15       Impact factor: 6.556

3.  Multifocal fMRI mapping of visual cortical areas.

Authors:  S Vanni; L Henriksson; A C James
Journal:  Neuroimage       Date:  2005-08-01       Impact factor: 6.556

4.  A canonical neural circuit for cortical nonlinear operations.

Authors:  Minjoon Kouh; Tomaso Poggio
Journal:  Neural Comput       Date:  2008-06       Impact factor: 2.026

5.  Predicting neuronal responses during natural vision.

Authors:  Stephen V David; Jack L Gallant
Journal:  Network       Date:  2005 Jun-Sep       Impact factor: 1.273

6.  Human primary visual cortex (V1) is selective for second-order spatial frequency.

Authors:  Luke E Hallum; Michael S Landy; David J Heeger
Journal:  J Neurophysiol       Date:  2011-02-23       Impact factor: 2.714

7.  Size and position invariance of neuronal responses in monkey inferotemporal cortex.

Authors:  M Ito; H Tamura; I Fujita; K Tanaka
Journal:  J Neurophysiol       Date:  1995-01       Impact factor: 2.714

8.  Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.

Authors:  R Malach; J B Reppas; R R Benson; K K Kwong; H Jiang; W A Kennedy; P J Ledden; T J Brady; B R Rosen; R B Tootell
Journal:  Proc Natl Acad Sci U S A       Date:  1995-08-29       Impact factor: 11.205

9.  Central V4 receptive fields are scaled by the V1 cortical magnification and correspond to a constant-sized sampling of the V1 surface.

Authors:  Brad C Motter
Journal:  J Neurosci       Date:  2009-05-06       Impact factor: 6.167

10.  Identifying natural images from human brain activity.

Authors:  Kendrick N Kay; Thomas Naselaris; Ryan J Prenger; Jack L Gallant
Journal:  Nature       Date:  2008-03-05       Impact factor: 49.962

View more
  104 in total

1.  Spatial summation revealed in the earliest visual evoked component C1 and the effect of attention on its linearity.

Authors:  Juan Chen; Qing Yu; Ziyun Zhu; Yujia Peng; Fang Fang
Journal:  J Neurophysiol       Date:  2015-11-11       Impact factor: 2.714

2.  Development of population receptive fields in the lateral visual stream improves spatial coding amid stable structural-functional coupling.

Authors:  Jesse Gomez; Alexis Drain; Brianna Jeska; Vaidehi S Natu; Michael Barnett; Kalanit Grill-Spector
Journal:  Neuroimage       Date:  2018-12-01       Impact factor: 6.556

3.  Visual field asymmetries in visual evoked responses.

Authors:  Donald J Hagler
Journal:  J Vis       Date:  2014-12-19       Impact factor: 2.240

4.  Population Receptive Field Shapes in Early Visual Cortex Are Nearly Circular.

Authors:  Garikoitz Lerma-Usabiaga; Jonathan Winawer; Brian A Wandell
Journal:  J Neurosci       Date:  2021-02-02       Impact factor: 6.167

5.  Temporal tuning of repetition suppression across the visual cortex.

Authors:  Matthias Fritsche; Samuel J D Lawrence; Floris P de Lange
Journal:  J Neurophysiol       Date:  2019-11-27       Impact factor: 2.714

6.  Categorically distinct types of receptive fields in early visual cortex.

Authors:  Vargha Talebi; Curtis L Baker
Journal:  J Neurophysiol       Date:  2016-03-02       Impact factor: 2.714

7.  Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex.

Authors:  Kuan Han; Haiguang Wen; Junxing Shi; Kun-Han Lu; Yizhen Zhang; Di Fu; Zhongming Liu
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

Review 8.  Computational neuroimaging and population receptive fields.

Authors:  Brian A Wandell; Jonathan Winawer
Journal:  Trends Cogn Sci       Date:  2015-04-04       Impact factor: 20.229

9.  Amplification of local changes along the timescale processing hierarchy.

Authors:  Yaara Yeshurun; Mai Nguyen; Uri Hasson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-15       Impact factor: 11.205

10.  Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex.

Authors:  Jonathan Winawer; Kendrick N Kay; Brett L Foster; Andreas M Rauschecker; Josef Parvizi; Brian A Wandell
Journal:  Curr Biol       Date:  2013-06-13       Impact factor: 10.834

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.