Literature DB >> 20545020

Ambiguity and invariance: two fundamental challenges for visual processing.

Nicole C Rust1, Alan A Stocker.   

Abstract

The visual system is tasked with extracting stimulus content (e.g. the identity of an object) from the spatiotemporal light pattern falling on the retina. However, visual information can be ambiguous with regard to content (e.g. an object when viewed from far away), requiring the system to also consider contextual information. Additionally, visual information originating from the same content can differ (e.g. the same object viewed from different angles), requiring the system to extract content invariant to these differences. In this review, we explore these challenges from experimental and theoretical perspectives, and motivate the need to incorporate solutions for both ambiguity and invariance into hierarchical models of visual processing. 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20545020     DOI: 10.1016/j.conb.2010.04.013

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  26 in total

1.  Local sensitivity to stimulus orientation and spatial frequency within the receptive fields of neurons in visual area 2 of macaque monkeys.

Authors:  X Tao; B Zhang; E L Smith; S Nishimoto; I Ohzawa; Y M Chino
Journal:  J Neurophysiol       Date:  2011-11-23       Impact factor: 2.714

2.  Visual object categorization in birds and primates: integrating behavioral, neurobiological, and computational evidence within a "general process" framework.

Authors:  Fabian A Soto; Edward A Wasserman
Journal:  Cogn Affect Behav Neurosci       Date:  2012-03       Impact factor: 3.282

3.  View-invariance learning in object recognition by pigeons depends on error-driven associative learning processes.

Authors:  Fabian A Soto; Jeffrey Y M Siow; Edward A Wasserman
Journal:  Vision Res       Date:  2012-04-17       Impact factor: 1.886

4.  A Bayesian model of lightness perception that incorporates spatial variation in the illumination.

Authors:  Sarah R Allred; David H Brainard
Journal:  J Vis       Date:  2013-06-28       Impact factor: 2.240

Review 5.  Auditory cortical processing in real-world listening: the auditory system going real.

Authors:  Israel Nelken; Jennifer Bizley; Shihab A Shamma; Xiaoqin Wang
Journal:  J Neurosci       Date:  2014-11-12       Impact factor: 6.167

Review 6.  The what, where and how of auditory-object perception.

Authors:  Jennifer K Bizley; Yale E Cohen
Journal:  Nat Rev Neurosci       Date:  2013-10       Impact factor: 34.870

7.  Dynamic representation of partially occluded objects in primate prefrontal and visual cortex.

Authors:  Amber M Fyall; Yasmine El-Shamayleh; Hannah Choi; Eric Shea-Brown; Anitha Pasupathy
Journal:  Elife       Date:  2017-09-19       Impact factor: 8.140

Review 8.  Surface color perception and equivalent illumination models.

Authors:  David H Brainard; Laurence T Maloney
Journal:  J Vis       Date:  2011-05-02       Impact factor: 2.240

9.  Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.

Authors:  Hannah Choi; Anitha Pasupathy; Eric Shea-Brown
Journal:  Neural Comput       Date:  2018-03-22       Impact factor: 2.026

10.  Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging data.

Authors:  Fabian A Soto; Lauren E Vucovich; F Gregory Ashby
Journal:  PLoS Comput Biol       Date:  2018-10-01       Impact factor: 4.475

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