Literature DB >> 15711543

Receptive field structure varies with layer in the primary visual cortex.

Luis M Martinez1, Qingbo Wang, R Clay Reid, Cinthi Pillai, José-Mañuel Alonso, Friedrich T Sommer, Judith A Hirsch.   

Abstract

Here we ask whether visual response pattern varies with position in the cortical microcircuit by comparing the structure of receptive fields recorded from the different layers of the cat's primary visual cortex. We used whole-cell recording in vivo to show the spatial distribution of visually evoked excitatory and inhibitory inputs and to stain individual neurons. We quantified the distribution of 'On' and 'Off' responses and the presence of spatially opponent excitation and inhibition within the receptive field. The thalamorecipient layers (4 and upper 6) were dominated by simple cells, as defined by two criteria: they had separated On and Off subregions, and they had push-pull responses (in a given subregion, stimuli of the opposite contrast evoked responses of the opposite sign). Other types of response profile correlated with laminar location as well. Thus, connections unique to each visual cortical layer are likely to serve distinct functions.

Entities:  

Mesh:

Year:  2005        PMID: 15711543      PMCID: PMC1987328          DOI: 10.1038/nn1404

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  50 in total

1.  Electrophysiological classes of cat primary visual cortical neurons in vivo as revealed by quantitative analyses.

Authors:  Lionel G Nowak; Rony Azouz; Maria V Sanchez-Vives; Charles M Gray; David A McCormick
Journal:  J Neurophysiol       Date:  2003-03       Impact factor: 2.714

2.  Emergent properties of layer 2/3 neurons reflect the collinear arrangement of horizontal connections in tree shrew visual cortex.

Authors:  Heather J Chisum; François Mooser; David Fitzpatrick
Journal:  J Neurosci       Date:  2003-04-01       Impact factor: 6.167

3.  An egalitarian network model for the emergence of simple and complex cells in visual cortex.

Authors:  Louis Tao; Michael Shelley; David McLaughlin; Robert Shapley
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-26       Impact factor: 11.205

4.  Response to contrast of electrophysiologically defined cell classes in primary visual cortex.

Authors:  Diego Contreras; Larry Palmer
Journal:  J Neurosci       Date:  2003-07-30       Impact factor: 6.167

5.  A morphological basis for orientation tuning in primary visual cortex.

Authors:  François Mooser; William H Bosking; David Fitzpatrick
Journal:  Nat Neurosci       Date:  2004-07-18       Impact factor: 24.884

6.  The contribution of spike threshold to the dichotomy of cortical simple and complex cells.

Authors:  Nicholas J Priebe; Ferenc Mechler; Matteo Carandini; David Ferster
Journal:  Nat Neurosci       Date:  2004-08-29       Impact factor: 24.884

7.  A quantitative map of the circuit of cat primary visual cortex.

Authors:  Tom Binzegger; Rodney J Douglas; Kevan A C Martin
Journal:  J Neurosci       Date:  2004-09-29       Impact factor: 6.167

8.  Different roles for simple-cell and complex-cell inhibition in V1.

Authors:  Thomas Z Lauritzen; Kenneth D Miller
Journal:  J Neurosci       Date:  2003-11-12       Impact factor: 6.167

9.  Somatosensory cortical efferent neurons of the awake rabbit: latencies to activation via supra--and subthreshold receptive fields.

Authors:  H A Swadlow; T P Hicks
Journal:  J Neurophysiol       Date:  1996-04       Impact factor: 2.714

10.  Dynamic receptive fields of reconstructed pyramidal cells in layers 3 and 2 of rat somatosensory barrel cortex.

Authors:  Michael Brecht; Arnd Roth; Bert Sakmann
Journal:  J Physiol       Date:  2003-08-29       Impact factor: 5.182

View more
  92 in total

1.  Generalized spin models for coupled cortical feature maps obtained by coarse graining correlation based synaptic learning rules.

Authors:  Peter J Thomas; Jack D Cowan
Journal:  J Math Biol       Date:  2011-11-19       Impact factor: 2.259

2.  Complex cell receptive fields: evidence for a hierarchical mechanism.

Authors:  Joshua P van Kleef; Shaun L Cloherty; Michael R Ibbotson
Journal:  J Physiol       Date:  2010-07-26       Impact factor: 5.182

3.  Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex.

Authors:  Jianzhong Jin; Yushi Wang; Harvey A Swadlow; Jose M Alonso
Journal:  Nat Neurosci       Date:  2011-01-09       Impact factor: 24.884

4.  Recoding of sensory information across the retinothalamic synapse.

Authors:  Xin Wang; Judith A Hirsch; Friedrich T Sommer
Journal:  J Neurosci       Date:  2010-10-13       Impact factor: 6.167

5.  Neural coding of image structure and contrast polarity of Cartesian, hyperbolic, and polar gratings in the primary and secondary visual cortex of the tree shrew.

Authors:  Jordan Poirot; Paolo De Luna; Gregor Rainer
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

6.  Visual Information Processing in the Ventral Division of the Mouse Lateral Geniculate Nucleus of the Thalamus.

Authors:  Ulas M Ciftcioglu; Vandana Suresh; Kimberly R Ding; Friedrich T Sommer; Judith A Hirsch
Journal:  J Neurosci       Date:  2020-04-29       Impact factor: 6.167

7.  'Simplification' of responses of complex cells in cat striate cortex: suppressive surrounds and 'feedback' inactivation.

Authors:  Cedric Bardy; Jin Yu Huang; Chun Wang; Thomas FitzGibbon; Bogdan Dreher
Journal:  J Physiol       Date:  2006-05-18       Impact factor: 5.182

8.  Spatial and temporal properties of cone signals in alert macaque primary visual cortex.

Authors:  Bevil R Conway; Margaret S Livingstone
Journal:  J Neurosci       Date:  2006-10-18       Impact factor: 6.167

9.  The emergence of contrast-invariant orientation tuning in simple cells of cat visual cortex.

Authors:  Ian M Finn; Nicholas J Priebe; David Ferster
Journal:  Neuron       Date:  2007-04-05       Impact factor: 17.173

10.  Statistical wiring of thalamic receptive fields optimizes spatial sampling of the retinal image.

Authors:  Luis M Martinez; Manuel Molano-Mazón; Xin Wang; Friedrich T Sommer; Judith A Hirsch
Journal:  Neuron       Date:  2014-02-19       Impact factor: 17.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.