Invariant visual object recognition: a model, with lighting invariance.

Full Abstract

How are invariant representations of objects formed in the visual cortex? We describe a neurophysiological and computational approach which focusses on a feature hierarchy model in which invariant representations can be built by self-organizing learning based on the statistics of the visual input. The model can use temporal continuity in an associative synaptic learning rule with a short term memory trace, and/or it can use spatial continuity in Continuous Transformation learning. The model of visual processing in the ventral cortical stream can build representations of objects that are invariant with respect to translation, view, size, and in this paper we show also lighting. The model has been extended to provide an account of invariant representations in the dorsal visual system of the global motion produced by objects such as looming, rotation, and object-based movement. The model has been extended to incorporate top-down feedback connections to model the control of attention by biased competition in for example spatial and object search tasks. The model has also been extended to account for how the visual system can select single objects in complex visual scenes, and how multiple objects can be represented in a scene.

Learn Faster Today Improve your study skills

Author information

Author/s: Rolls, Edmund T (ET); Stringer, Simon M (SM);

Affiliation: Oxford University, Centre for Computational Neuroscience, Department of Experimental Psychology, South Parks Road, Oxford OX1 3UD, England, United Kingdom. Edmund.Rolls(-atsign-)psy.ox.ac.uk

Journal and publication information

Publication Type: Journal Article; Review

Journal: Journal of physiology, Paris (J Physiol Paris), published in France. (Language: eng)

Reference: -2006 Jul-Sep; vol 100 (issue 1-3) : pp 43-62

Dates: Created 2006/12/04; Completed 2007/02/20;

PMID: 17071062, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

External Links for this article (including full text providers, if available):

Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.

This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.

MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Neural Networks (Computer)
Pattern Recognition, Visual - physiology
Photic Stimulation - methods
Space Perception - physiology
Visual Cortex - physiology
Visual Pathways - physiology

These are the highest related articles currently in the database:

See 100+ related articles.