Literature DB >> 14766138

Computations in the early visual cortex.

Tai Sing Lee1.   

Abstract

This paper reviews some of the recent neurophysiological studies that explore the variety of visual computations in the early visual cortex in relation to geometric inference, i.e. the inference of contours, surfaces and shapes. It attempts to draw connections between ideas from computational vision and findings from awake primate electrophysiology. In the classical feed-forward, modular view of visual processing, the early visual areas (LGN, V1 and V2) are modules that serve to extract local features, while higher extrastriate areas are responsible for shape inference and invariant object recognition. However, recent findings in primate early visual systems reveal that the computations in the early visual cortex are rather complex and dynamic, as well as interactive and plastic, subject to influence from global context, higher order perceptual inference, task requirement and behavioral experience. The evidence argues that the early visual cortex does not merely participate in the first stage of visual processing, but is involved in many levels of visual computation.

Entities:  

Mesh:

Year:  2003        PMID: 14766138     DOI: 10.1016/j.jphysparis.2003.09.015

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  12 in total

Review 1.  On the role of general system theory for functional neuroimaging.

Authors:  Klaas Enno Stephan
Journal:  J Anat       Date:  2004-12       Impact factor: 2.610

2.  Bayesian estimation of the shape skeleton.

Authors:  Jacob Feldman; Manish Singh
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-13       Impact factor: 11.205

3.  Skeletal representations of shape in human vision: Evidence for a pruned medial axis model.

Authors:  Vladislav Ayzenberg; Yunxiao Chen; Sami R Yousif; Stella F Lourenco
Journal:  J Vis       Date:  2019-06-03       Impact factor: 2.240

4.  Top-Down Feedback Controls the Cortical Representation of Illusory Contours in Mouse Primary Visual Cortex.

Authors:  Alexandr Pak; Esther Ryu; Claudia Li; Alexander A Chubykin
Journal:  J Neurosci       Date:  2019-12-02       Impact factor: 6.167

5.  A supervised visual model for finding regions of interest in basal cell carcinoma images.

Authors:  Ricardo Gutiérrez; Francisco Gómez; Lucía Roa-Peña; Eduardo Romero
Journal:  Diagn Pathol       Date:  2011-03-29       Impact factor: 2.644

6.  Observing the observer (I): meta-bayesian models of learning and decision-making.

Authors:  Jean Daunizeau; Hanneke E M den Ouden; Matthias Pessiglione; Stefan J Kiebel; Klaas E Stephan; Karl J Friston
Journal:  PLoS One       Date:  2010-12-14       Impact factor: 3.240

7.  Contour detection improved by context-adaptive surround suppression.

Authors:  Qiang Sang; Biao Cai; Hao Chen
Journal:  PLoS One       Date:  2017-07-31       Impact factor: 3.240

8.  Top-down feedback in an HMAX-like cortical model of object perception based on hierarchical Bayesian networks and belief propagation.

Authors:  Salvador Dura-Bernal; Thomas Wennekers; Susan L Denham
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

9.  Reconciling predictive coding and biased competition models of cortical function.

Authors:  Michael W Spratling
Journal:  Front Comput Neurosci       Date:  2008-10-21       Impact factor: 2.380

10.  Early recurrent feedback facilitates visual object recognition under challenging conditions.

Authors:  Dean Wyatte; David J Jilk; Randall C O'Reilly
Journal:  Front Psychol       Date:  2014-07-01
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