The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body.
This paper investigates how the visual areas of the brain may learn to segment the bodies of humans and other animals into separate parts. A neural network model of the ventral visual pathway, VisNet, was used to study this problem. In particular, the current work investigates whether independent mo...
Main Authors: | , |
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Format: | Journal article |
Language: | English |
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Elsevier
2011
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_version_ | 1797084150045343744 |
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author | Higgins, I Stringer, S |
author_facet | Higgins, I Stringer, S |
author_sort | Higgins, I |
collection | OXFORD |
description | This paper investigates how the visual areas of the brain may learn to segment the bodies of humans and other animals into separate parts. A neural network model of the ventral visual pathway, VisNet, was used to study this problem. In particular, the current work investigates whether independent motion of body parts can be sufficient to enable the visual system to learn separate representations of them even when the body parts are never seen in isolation. The network was shown to be able to separate out the independently moving body parts because the independent motion created statistical decoupling between them. |
first_indexed | 2024-03-07T01:51:19Z |
format | Journal article |
id | oxford-uuid:9a2f2342-51e6-4156-b19a-c4471dcf6d50 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T01:51:19Z |
publishDate | 2011 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:9a2f2342-51e6-4156-b19a-c4471dcf6d502022-03-27T00:19:39ZThe role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9a2f2342-51e6-4156-b19a-c4471dcf6d50EnglishSymplectic Elements at OxfordElsevier2011Higgins, IStringer, SThis paper investigates how the visual areas of the brain may learn to segment the bodies of humans and other animals into separate parts. A neural network model of the ventral visual pathway, VisNet, was used to study this problem. In particular, the current work investigates whether independent motion of body parts can be sufficient to enable the visual system to learn separate representations of them even when the body parts are never seen in isolation. The network was shown to be able to separate out the independently moving body parts because the independent motion created statistical decoupling between them. |
spellingShingle | Higgins, I Stringer, S The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. |
title | The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. |
title_full | The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. |
title_fullStr | The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. |
title_full_unstemmed | The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. |
title_short | The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. |
title_sort | role of independent motion in object segmentation in the ventral visual stream learning to recognise the separate parts of the body |
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