Literature DB >> 1455713

Cortical neurons: isolation of contrast gain control.

W S Geisler1, D G Albrecht.   

Abstract

The selectivity of cortical neurons remains invariant with contrast, even though the contrast-response function saturates. Both the invariance and the saturation might be due to a contrast-gain control mechanism. To test this hypothesis, a drifting grafting was used to measure the contrast-response function, while a counterphase grating was simultaneously presented at the null position of the receptive field (where it evokes no response at any contrast). When the contrast of the counterphase grating increased, the contrast-response function shifted primarily to the right. This result is consistent with the hypothesis that there is a fast-acting gain-control mechanism which effectively scales the input contrast by the average local contrast.

Mesh:

Year:  1992        PMID: 1455713     DOI: 10.1016/0042-6989(92)90196-p

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  45 in total

1.  Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1.

Authors:  William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

Review 2.  Mapping receptive fields in primary visual cortex.

Authors:  Dario L Ringach
Journal:  J Physiol       Date:  2004-05-21       Impact factor: 5.182

3.  Normalization in human somatosensory cortex.

Authors:  Gijs Joost Brouwer; Vanessa Arnedo; Shani Offen; David J Heeger; Arthur C Grant
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

4.  Speed dependence of tuning to one-dimensional features in V1.

Authors:  Ferenc Mechler; Ifije E Ohiorhenuan; Jonathan D Victor
Journal:  J Neurophysiol       Date:  2007-01-24       Impact factor: 2.714

5.  Linking neuronal and behavioral performance in a reaction-time visual detection task.

Authors:  Chris Palmer; Shao-Ying Cheng; Eyal Seidemann
Journal:  J Neurosci       Date:  2007-07-25       Impact factor: 6.167

Review 6.  Lateral effects in pattern vision.

Authors:  John M Foley
Journal:  J Vis       Date:  2019-08-01       Impact factor: 2.240

7.  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

8.  A neurally efficient implementation of sensory population decoding.

Authors:  Kris S Chaisanguanthum; Stephen G Lisberger
Journal:  J Neurosci       Date:  2011-03-30       Impact factor: 6.167

9.  Cross-orientation suppression in human visual cortex.

Authors:  Gijs Joost Brouwer; David J Heeger
Journal:  J Neurophysiol       Date:  2011-07-20       Impact factor: 2.714

Review 10.  Mechanisms of neuronal computation in mammalian visual cortex.

Authors:  Nicholas J Priebe; David Ferster
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

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