Literature DB >> 11343660

Prediction of orientation selectivity from receptive field architecture in simple cells of cat visual cortex.

I Lampl1, J S Anderson, D C Gillespie, D Ferster.   

Abstract

From the intracellularly recorded responses to small, rapidly flashed spots, we have quantitatively mapped the receptive fields of simple cells in the cat visual cortex. We then applied these maps to a feedforward model of orientation selectivity. Both the preferred orientation and the width of orientation tuning of the responses to oriented stimuli were well predicted by the model. Where tested, the tuning curve was well predicted at different spatial frequencies. The model was also successful in predicting certain features of the spatial frequency selectivity of the cells. It did not successfully predict the amplitude of the responses to drifting gratings. Our results show that the spatial organization of the receptive field can account for a large fraction of the orientation selectivity of simple cells.

Mesh:

Year:  2001        PMID: 11343660     DOI: 10.1016/s0896-6273(01)00278-1

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  34 in total

1.  Laminar processing of stimulus orientation in cat visual cortex.

Authors:  Luis M Martinez; José-Manuel Alonso; R Clay Reid; Judith A Hirsch
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

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.  Receptive fields and response properties of neurons in layer 4 of ferret visual cortex.

Authors:  W Martin Usrey; Michael P Sceniak; Barbara Chapman
Journal:  J Neurophysiol       Date:  2003-02       Impact factor: 2.714

4.  A cooperation and competition based simple cell receptive field model and study of feed-forward linear and nonlinear contributions to orientation selectivity.

Authors:  Basabi Bhaumik; Mona Mathur
Journal:  J Comput Neurosci       Date:  2003 Mar-Apr       Impact factor: 1.621

Review 5.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

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.  Development of orientation tuning in simple cells of primary visual cortex.

Authors:  Bartlett D Moore; Ralph D Freeman
Journal:  J Neurophysiol       Date:  2012-02-08       Impact factor: 2.714

8.  Mechanisms of direction selectivity in cat primary visual cortex as revealed by visual adaptation.

Authors:  Nicholas J Priebe; Ilan Lampl; David Ferster
Journal:  J Neurophysiol       Date:  2010-08-25       Impact factor: 2.714

9.  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

10.  Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression.

Authors:  Robert M Shapley; Dajun Xing
Journal:  Neural Netw       Date:  2012-09-20
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