Literature DB >> 10426419

Separate processing dynamics for texture elements, boundaries and surfaces in primary visual cortex of the macaque monkey.

V A Lamme1, V Rodriguez-Rodriguez, H Spekreijse.   

Abstract

A visual scene is rapidly segmented into the regions that are occupied by different objects and background. Segmentation may be initiated from the detection of boundaries, followed by the filling-in of the surfaces between these boundaries to render them visible. Alternatively, segmentation may be based on grouping of surface elements that are similar, so that boundaries are (implicitly) identified as the borders between elements that are grouped into objects. Here, we present recordings from awake monkey primary visual cortex that show that in late (>80 ms) components of the neural responses a correlate of boundary formation is expressed, followed by a filling-in (also called colouring) between the edges. These data favour a model of segmentation where boundary formation initiates surface filling-in.

Mesh:

Year:  1999        PMID: 10426419     DOI: 10.1093/cercor/9.4.406

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  55 in total

1.  The spatiotemporal dynamics of illusory contour processing: combined high-density electrical mapping, source analysis, and functional magnetic resonance imaging.

Authors:  Micah M Murray; Glenn R Wylie; Beth A Higgins; Daniel C Javitt; Charles E Schroeder; John J Foxe
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

2.  Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortex.

Authors:  Jasmin Léveillé; Massimiliano Versace; Stephen Grossberg
Journal:  J Comput Neurosci       Date:  2010-01-29       Impact factor: 1.621

3.  Dependence of visual cell properties on intracortical synapses among hypercolumns: analysis by a computer model.

Authors:  Mauro Ursino; Giuseppe-Emiliano La Cara
Journal:  J Comput Neurosci       Date:  2005-12       Impact factor: 1.621

4.  Cue-invariant networks for figure and background processing in human visual cortex.

Authors:  L Gregory Appelbaum; Alex R Wade; Vladimir Y Vildavski; Mark W Pettet; Anthony M Norcia
Journal:  J Neurosci       Date:  2006-11-08       Impact factor: 6.167

5.  High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.

Authors:  Sihang Zhou; Dong Nie; Ehsan Adeli; Jianping Yin; Jun Lian; Dinggang Shen
Journal:  IEEE Trans Image Process       Date:  2019-06-19       Impact factor: 10.856

6.  fMRI reveals that non-local processing in ventral retinotopic cortex underlies perceptual grouping by temporal synchrony.

Authors:  Gideon P Caplovitz; Diego J Barroso; Po-Jang Hsieh; Peter U Tse
Journal:  Hum Brain Mapp       Date:  2008-06       Impact factor: 5.038

7.  Different spatial scales of shape similarity representation in lateral and ventral LOC.

Authors:  Daniel M Drucker; Geoffrey K Aguirre
Journal:  Cereb Cortex       Date:  2009-01-28       Impact factor: 5.357

8.  Binocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements.

Authors:  Stephen Grossberg; Karthik Srinivasan; Arash Yazdanbakhsh
Journal:  Front Psychol       Date:  2015-01-14

9.  Segmentation of Textures Defined on Flat vs. Layered Surfaces using Neural Networks: Comparison of 2D vs. 3D Representations.

Authors:  Sejong Oh; Yoonsuck Choe
Journal:  Neurocomputing       Date:  2007-08-01       Impact factor: 5.719

Review 10.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

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