Literature DB >> 9509144

The combination of filters in early spatial vision: a retrospective analysis of the MIRAGE model.

M J Morgan1, R J Watt.   

Abstract

Since the discovery of spatial-frequency-tuned channels in the visual system, most theories attempting to account for pattern encoding have assumed that the filters can be independently accessed and flexibly combined. We review here an alternative model, 'MIRAGE', in which the filters are inflexibly combined before pattern analysis. In the MIRAGE model the half-wave rectified outputs of all spatial-frequency channels are combined before locating spatial zero-bounded regions in the neural image, which serve as the spatial primitives for pattern analysis. We describe the evidence that led to this model, and review recent evidence on the rules of filter combination.

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Year:  1997        PMID: 9509144     DOI: 10.1068/p261073

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  8 in total

1.  A dynamic nonlinearity and spatial phase specificity in macaque V1 neurons.

Authors:  Patrick E Williams; Robert M Shapley
Journal:  J Neurosci       Date:  2007-05-23       Impact factor: 6.167

2.  Black-white asymmetry in visual perception.

Authors:  Zhong-Lin Lu; George Sperling
Journal:  J Vis       Date:  2012-09-14       Impact factor: 2.240

Review 3.  Features and the 'primal sketch'.

Authors:  Michael J Morgan
Journal:  Vision Res       Date:  2010-08-07       Impact factor: 1.886

4.  Ameliorating the combinatorial explosion with spatial frequency-matched combinations of V1 outputs.

Authors:  Sarah Hancock; David P McGovern; Jonathan W Peirce
Journal:  J Vis       Date:  2010-07-01       Impact factor: 2.240

5.  The Poggendorff illusion: a bias in the estimation of the orientation of virtual lines by second-stage filters.

Authors:  M J Morgan
Journal:  Vision Res       Date:  1999-07       Impact factor: 1.886

6.  Visual detection under uncertainty operates via an early static, not late dynamic, non-linearity.

Authors:  Peter Neri
Journal:  Front Comput Neurosci       Date:  2010-11-30       Impact factor: 2.380

7.  Perceived blur in naturally contoured images depends on phase.

Authors:  Stephanie Murray; Peter J Bex
Journal:  Front Psychol       Date:  2010-12-02

8.  Mach bands explained by response normalization.

Authors:  Frederick A A Kingdom
Journal:  Front Hum Neurosci       Date:  2014-11-04       Impact factor: 3.169

  8 in total

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