Literature DB >> 12003860

Spatial receptive field organization of macaque V4 neurons.

Daniel A Pollen1, Andrzej W Przybyszewski, Mark A Rubin, Warren Foote.   

Abstract

Subfield analysis of the receptive fields (RFs) of parafoveal V4 complex cells demonstrates directly that most RFs are tiled by overlapping second-order excitatory inputs that for any given V4 cell are predominantly selective to the same preferred values of spatial frequency and orientation. These results extend hierarchical principles of RF organization in the spatial, orientation and spatial frequency domains, first recognized in V1, to an intermediate extrastriate cortex. Spatial interaction studies across subfields demonstrate that the responses of V4 neurons to paired stimuli may either decrease or increase as a function of inter-stimulus distance across the width axis. These intra-RF suppressions and facilitations vary independently in magnitude and spatial extent from cell to cell. These results taken together with the relatively large RF sizes of V4 neurons - as compared with RF sizes of their afferent inputs - lead us to hypothesize a novel property, namely that classes of stimulus configurations that enhance areal summation while reducing suppressive interactions between excitatory inputs will evoke especially robust responses. We tested, and found support for, this hypothesis by presenting stimuli consisting of optimally tuned sine-wave gratings visible only within an annular region and found that such stimuli vigorously activate V4 neurons at firing rates far higher than those evoked by comparable stimuli to either the full-field or central core. On the basis of these results we propose a framework for a new class of neural network models for the spatial RF organizations of prototypic V4 neurons.

Mesh:

Year:  2002        PMID: 12003860     DOI: 10.1093/cercor/12.6.601

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  19 in total

1.  Characterizing responses of translation-invariant neurons to natural stimuli: maximally informative invariant dimensions.

Authors:  Michael Eickenberg; Ryan J Rowekamp; Minjoon Kouh; Tatyana O Sharpee
Journal:  Neural Comput       Date:  2012-06-26       Impact factor: 2.026

2.  Equivalent representation of real and illusory contours in macaque V4.

Authors:  Yanxia Pan; Minggui Chen; Jiapeng Yin; Xu An; Xian Zhang; Yiliang Lu; Hongliang Gong; Wu Li; Wei Wang
Journal:  J Neurosci       Date:  2012-05-16       Impact factor: 6.167

3.  An integrated reweighting theory of perceptual learning.

Authors:  Barbara Anne Dosher; Pamela Jeter; Jiajuan Liu; Zhong-Lin Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

4.  Receptive field focus of visual area V4 neurons determines responses to illusory surfaces.

Authors:  Michele A Cox; Michael C Schmid; Andrew J Peters; Richard C Saunders; David A Leopold; Alexander Maier
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-01       Impact factor: 11.205

5.  Natural textures classification in area V4 of the macaque monkey.

Authors:  F Arcizet; C Jouffrais; P Girard
Journal:  Exp Brain Res       Date:  2008-05-28       Impact factor: 1.972

6.  Spatial summation can explain the attentional modulation of neuronal responses to multiple stimuli in area V4.

Authors:  Geoffrey M Ghose; John H R Maunsell
Journal:  J Neurosci       Date:  2008-05-07       Impact factor: 6.167

7.  Stimulus conflation and tuning selectivity in V4 neurons: a model of visual crowding.

Authors:  Brad C Motter
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

Review 8.  Spatial receptive field organization of multisensory neurons and its impact on multisensory interactions.

Authors:  Juliane Krueger; David W Royal; Matthew C Fister; Mark T Wallace
Journal:  Hear Res       Date:  2009-08-19       Impact factor: 3.208

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.  Multiple components of surround modulation in primary visual cortex: multiple neural circuits with multiple functions?

Authors:  Lauri Nurminen; Alessandra Angelucci
Journal:  Vision Res       Date:  2014-09-06       Impact factor: 1.886

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