Knowing What and Where: A Computational Model for Visual Attention

Kaustubh Chokshi; Christo Panchev; Stefan Wermter; John G. Taylor

doi:10.1109/IJCNN.2004.1379963

Knowing What and Where: A Computational Model for Visual Attention

Kaustubh Chokshi, Christo Panchev, Stefan Wermter, John G. Taylor

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

We describe a model of invariant object recognition in the brain that incorporates feedback biasing effects of top-down attentional mechanism on a hierarchically organised set of visual cortical areas. The model displays a space based and a object based visual search by using a top-down attention feedback model from posterior parietal modules and interaction between the two processing streams dorsal and ventra

Original language	English
Title of host publication	2004 IEEE International Joint Conference on Neural Networks
Publisher	IEEE
Pages	519 - 524
Number of pages	6
ISBN (Print)	0-7803-8359-1
DOIs	https://doi.org/10.1109/IJCNN.2004.1379963
Publication status	Published - 2004
Externally published	Yes
Event	2004 IEEE International Joint Conference on Neural Networks - Budapest, Hungary Duration: 25 Jul 2004 → 29 Jul 2004

Conference

Conference	2004 IEEE International Joint Conference on Neural Networks
Abbreviated title	IJCNN
Country/Territory	Hungary
City	Budapest
Period	25/07/04 → 29/07/04

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10.1109/IJCNN.2004.1379963

Cite this

@inproceedings{56acb0bb7ccd4801b17ec7e69871ccf5,

title = "Knowing What and Where: A Computational Model for Visual Attention",

abstract = "We describe a model of invariant object recognition in the brain that incorporates feedback biasing effects of top-down attentional mechanism on a hierarchically organised set of visual cortical areas. The model displays a space based and a object based visual search by using a top-down attention feedback model from posterior parietal modules and interaction between the two processing streams dorsal and ventra",

author = "Kaustubh Chokshi and Christo Panchev and Stefan Wermter and Taylor, {John G.}",

year = "2004",

doi = "10.1109/IJCNN.2004.1379963",

language = "English",

isbn = "0-7803-8359-1",

pages = "519 -- 524",

booktitle = "2004 IEEE International Joint Conference on Neural Networks",

publisher = "IEEE",

address = "United States",

note = "2004 IEEE International Joint Conference on Neural Networks, IJCNN ; Conference date: 25-07-2004 Through 29-07-2004",

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TY - GEN

T1 - Knowing What and Where: A Computational Model for Visual Attention

AU - Chokshi, Kaustubh

AU - Panchev, Christo

AU - Wermter, Stefan

AU - Taylor, John G.

PY - 2004

Y1 - 2004

N2 - We describe a model of invariant object recognition in the brain that incorporates feedback biasing effects of top-down attentional mechanism on a hierarchically organised set of visual cortical areas. The model displays a space based and a object based visual search by using a top-down attention feedback model from posterior parietal modules and interaction between the two processing streams dorsal and ventra

AB - We describe a model of invariant object recognition in the brain that incorporates feedback biasing effects of top-down attentional mechanism on a hierarchically organised set of visual cortical areas. The model displays a space based and a object based visual search by using a top-down attention feedback model from posterior parietal modules and interaction between the two processing streams dorsal and ventra

U2 - 10.1109/IJCNN.2004.1379963

DO - 10.1109/IJCNN.2004.1379963

M3 - Conference proceeding

SN - 0-7803-8359-1

SP - 519

EP - 524

BT - 2004 IEEE International Joint Conference on Neural Networks

PB - IEEE

T2 - 2004 IEEE International Joint Conference on Neural Networks

Y2 - 25 July 2004 through 29 July 2004

ER -

Knowing What and Where: A Computational Model for Visual Attention

Abstract

Conference

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