Literature DB >> 26053241

Understanding mid-level representations in visual processing.

Jonathan W Peirce.   

Abstract

It is clear that early visual processing provides an image-based representation of the visual scene: Neurons in Striate cortex (V1) encode nothing about the meaning of a scene, but they do provide a great deal of information about the image features within it. The mechanisms of these "low-level" visual processes are relatively well understood. We can construct plausible models for how neurons, up to and including those in V1, build their representations from preceding inputs down to the level of photoreceptors. It is also clear that at some point we have a semantic, "high-level" representation of the visual scene because we can describe verbally the objects that we are viewing and their meaning to us. A huge number of studies are examining these "high-level" visual processes each year. Less well studied are the processes of "mid-level" vision, which presumably provide the bridge between these "low-level" representations of edges, colors, and lights and the "high-level" semantic representations of objects, faces, and scenes. This article and the special issue of papers in which it is published consider the nature of "mid-level" visual processing and some of the reasons why we might not have made as much progress in this domain as we would like.

Mesh:

Year:  2015        PMID: 26053241      PMCID: PMC4461896          DOI: 10.1167/15.7.5

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  46 in total

Review 1.  Receptive fields.

Authors:  Peter Lennie
Journal:  Curr Biol       Date:  2003-03-18       Impact factor: 10.834

2.  Grouping local orientation and direction signals to extract spatial contours: empirical tests of "association field" models of contour integration.

Authors:  Timothy Ledgeway; Robert F Hess; Wilson S Geisler
Journal:  Vision Res       Date:  2005-09       Impact factor: 1.886

3.  Face-specific processing in the human fusiform gyrus.

Authors:  G McCarthy; A Puce; J C Gore; T Allison
Journal:  J Cogn Neurosci       Date:  1997       Impact factor: 3.225

4.  Functional mechanisms shaping lateral geniculate responses to artificial and natural stimuli.

Authors:  Valerio Mante; Vincent Bonin; Matteo Carandini
Journal:  Neuron       Date:  2008-05-22       Impact factor: 17.173

5.  Concentric orientation summation in human form vision.

Authors:  H R Wilson; F Wilkinson; W Asaad
Journal:  Vision Res       Date:  1997-09       Impact factor: 1.886

Review 6.  From orientations to objects: Configural processing in the ventral stream.

Authors:  Hugh R Wilson; Frances Wilkinson
Journal:  J Vis       Date:  2015       Impact factor: 2.240

Review 7.  Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway.

Authors:  Timothy J Andrews; David M Watson; Grace E Rice; Tom Hartley
Journal:  J Vis       Date:  2015       Impact factor: 2.240

8.  Spatiotemporal energy models for the perception of motion.

Authors:  E H Adelson; J R Bergen
Journal:  J Opt Soc Am A       Date:  1985-02       Impact factor: 2.129

9.  Spectral selectivity of cells and its dependence on slit length in monkey visual cortex.

Authors:  J Krüger; P Gouras
Journal:  J Neurophysiol       Date:  1980-04       Impact factor: 2.714

10.  Phenomenal coherence of moving visual patterns.

Authors:  E H Adelson; J A Movshon
Journal:  Nature       Date:  1982-12-09       Impact factor: 49.962

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  11 in total

Review 1.  Contributions of low- and high-level properties to neural processing of visual scenes in the human brain.

Authors:  Iris I A Groen; Edward H Silson; Chris I Baker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-02       Impact factor: 6.237

Review 2.  Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway.

Authors:  Timothy J Andrews; David M Watson; Grace E Rice; Tom Hartley
Journal:  J Vis       Date:  2015       Impact factor: 2.240

3.  Spontaneous low-frequency fluctuations in the neural system for emotional perception in major psychiatric disorders: amplitude similarities and differences across frequency bands

Authors:  Miao Chang; Elliot K. Edmiston; Fay Y. Womer; Qian Zhou; Shengnan Wei; Xiaowei Jiang; Yifang Zhou; Yuting Ye; Haiyan Huang; Xi-Nian Zuo; Ke Xu; Yanqing Tang; Fei Wang
Journal:  J Psychiatry Neurosci       Date:  2019-03-01       Impact factor: 6.186

4.  Luminance texture boundaries and luminance step boundaries are segmented using different mechanisms.

Authors:  Christopher DiMattina
Journal:  Vision Res       Date:  2021-11-15       Impact factor: 1.886

5.  Multivariate Patterns in the Human Object-Processing Pathway Reveal a Shift from Retinotopic to Shape Curvature Representations in Lateral Occipital Areas, LO-1 and LO-2.

Authors:  Richard J W Vernon; André D Gouws; Samuel J D Lawrence; Alex R Wade; Antony B Morland
Journal:  J Neurosci       Date:  2016-05-25       Impact factor: 6.167

6.  Differences in selectivity to natural images in early visual areas (V1-V3).

Authors:  David D Coggan; Luke A Allen; Oliver R H Farrar; Andre D Gouws; Antony B Morland; Daniel H Baker; Timothy J Andrews
Journal:  Sci Rep       Date:  2017-05-26       Impact factor: 4.379

7.  Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization.

Authors:  Haiguang Wen; Junxing Shi; Wei Chen; Zhongming Liu
Journal:  Sci Rep       Date:  2018-02-28       Impact factor: 4.379

8.  Evidence for an Optimal Algorithm Underlying Signal Combination in Human Visual Cortex.

Authors:  Daniel H Baker; Alex R Wade
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

9.  Computational mechanisms underlying cortical responses to the affordance properties of visual scenes.

Authors:  Michael F Bonner; Russell A Epstein
Journal:  PLoS Comput Biol       Date:  2018-04-23       Impact factor: 4.475

10.  Neural dynamics of cue reliability in perceptual decisions.

Authors:  Giovanni Mancuso; Gijs Plomp
Journal:  J Vis       Date:  2020-08-03       Impact factor: 2.240

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