Literature DB >> 18679785

Contextual modulation of V1 receptive fields depends on their spatial symmetry.

Tatyana O Sharpee1, Jonathan D Victor.   

Abstract

The apparent receptive field characteristics of sensory neurons depend on the statistics of the stimulus ensemble--a nonlinear phenomenon often called contextual modulation. Since visual cortical receptive fields determined from simple stimuli typically do not predict responses to complex stimuli, understanding contextual modulation is crucial to understanding responses to natural scenes. To analyze contextual modulation, we examined how apparent receptive fields differ for two stimulus ensembles that are matched in first- and second-order statistics, but differ in their feature content: one ensemble is enriched in elongated contours. To identify systematic trends across the neural population, we used a multidimensional scaling method, the Procrustes transformation. We found that contextual modulation of receptive field components increases with their spatial extent. More surprisingly, we also found that odd-symmetric components change systematically, but even-symmetric components do not. This symmetry dependence suggests that contextual modulation is driven by oriented On/Off dyads, i.e., modulation of the strength of intracortically-generated signals.

Entities:  

Mesh:

Year:  2008        PMID: 18679785      PMCID: PMC2651997          DOI: 10.1007/s10827-008-0107-5

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  42 in total

1.  Suppression without inhibition in visual cortex.

Authors:  Tobe C B Freeman; Séverine Durand; Daniel C Kiper; Matteo Carandini
Journal:  Neuron       Date:  2002-08-15       Impact factor: 17.173

2.  Natural stimulus statistics alter the receptive field structure of v1 neurons.

Authors:  Stephen V David; William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2004-08-04       Impact factor: 6.167

3.  Analyzing neural responses to natural signals: maximally informative dimensions.

Authors:  Tatyana Sharpee; Nicole C Rust; William Bialek
Journal:  Neural Comput       Date:  2004-02       Impact factor: 2.026

4.  Responses of V1 neurons to two-dimensional hermite functions.

Authors:  Jonathan D Victor; Ferenc Mechler; Michael A Repucci; Keith P Purpura; Tatyana Sharpee
Journal:  J Neurophysiol       Date:  2005-09-07       Impact factor: 2.714

5.  Mechanisms underlying cross-orientation suppression in cat visual cortex.

Authors:  Nicholas J Priebe; David Ferster
Journal:  Nat Neurosci       Date:  2006-03-05       Impact factor: 24.884

6.  Feature detection in human vision: a phase-dependent energy model.

Authors:  M C Morrone; D C Burr
Journal:  Proc R Soc Lond B Biol Sci       Date:  1988-12-22

7.  The retinal ganglion cell mosaic defines orientation columns in striate cortex.

Authors:  R E Soodak
Journal:  Proc Natl Acad Sci U S A       Date:  1987-06       Impact factor: 11.205

8.  Cortical cell orientation selectivity fails to develop in the absence of ON-center retinal ganglion cell activity.

Authors:  B Chapman; I Gödecke
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

9.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

10.  The effect of contrast on the transfer properties of cat retinal ganglion cells.

Authors:  R M Shapley; J D Victor
Journal:  J Physiol       Date:  1978-12       Impact factor: 5.182

View more
  7 in total

1.  Link between orientation and retinotopic maps in primary visual cortex.

Authors:  Se-Bum Paik; Dario L Ringach
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

2.  Local non-linear interactions in the visual cortex may reflect global decorrelation.

Authors:  Simo Vanni; Tom Rosenström
Journal:  J Comput Neurosci       Date:  2010-04-27       Impact factor: 1.621

Review 3.  Computational identification of receptive fields.

Authors:  Tatyana O Sharpee
Journal:  Annu Rev Neurosci       Date:  2013-07-08       Impact factor: 12.449

4.  Laminar and orientation-dependent characteristics of spatial nonlinearities: implications for the computational architecture of visual cortex.

Authors:  Jonathan D Victor; Ferenc Mechler; Ifije Ohiorhenuan; Anita M Schmid; Keith P Purpura
Journal:  J Neurophysiol       Date:  2009-10-07       Impact factor: 2.714

5.  Stability of simple/complex classification with contrast and extraclassical receptive field modulation in macaque V1.

Authors:  Christopher A Henry; Michael J Hawken
Journal:  J Neurophysiol       Date:  2013-01-09       Impact factor: 2.714

Review 6.  Analyzing multicomponent receptive fields from neural responses to natural stimuli.

Authors:  Ryan J Rowekamp; Tatyana O Sharpee
Journal:  Network       Date:  2011-07-22       Impact factor: 1.273

7.  Two-Dimensional Hermite Filters Simplify the Description of High-Order Statistics of Natural Images.

Authors:  Qin Hu; Jonathan D Victor
Journal:  Symmetry (Basel)       Date:  2016-09-21       Impact factor: 2.713

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.