@incollection{ Itti_Borji14cog,
  author = {L. Itti and A. Borji},
  title = {Computational models of attention},
  abstract = {This chapter reviews recent computational models of visual
attention. We begin with models for the bottom-up or stimulus-driven
guidance of attention to salient visual items, which we examine in
seven different broad categories. We then examine more complex models
which address the top-down or goal-oriented guidance of attention
towards items that are more relevant to the task at hand.},
  booktitle = {Cognitive Neuroscience: The Biology of the Mind (Fifth Edition)},
  editor = {M. S. Gazzaniga and R. B. Ivry and G. R. Mangun},
  year = {2014},
  pages = {1-10},
  type = {rev}
}

{"_id":{"_str":"5298a1a09eb585cc2600080f"},"__v":0,"authorIDs":[],"author_short":["Itti, L.","Borji, A."],"bibbaseid":"itti-borji-computationalmodelsofattention-2014","bibdata":{"html":"<div class=\"bibbase_paper\"> \n\n\n<span class=\"bibbase_paper_titleauthoryear\">\n\t<span class=\"bibbase_paper_title\"><a name=\"Itti_Borji14cog\"> </a>Computational models of attention.</span>\n\t<span class=\"bibbase_paper_author\">\nItti, L.; and Borji, A.</span>\n\t<!-- <span class=\"bibbase_paper_year\">2014</span>. -->\n</span>\n\nIn\nGazzaniga, M.&nbsp;S.; Ivry, R.&nbsp;B.; and Mangun, G.&nbsp;R., editor, <i>Cognitive Neuroscience: The Biology of the Mind (Fifth Edition)</i>, page 1-10.\n 2014.\n\n\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content\">\n \n \n \n <a href=\"javascript:showBib('Itti_Borji14cog')\"\n class=\"bibbase link\">\n <!-- <img src=\"http://www.bibbase.org/img/filetypes/bib.png\" -->\n\t<!-- alt=\"Computational models of attention [bib]\" -->\n\t<!-- class=\"bibbase_icon\" -->\n\t<!-- style=\"width: 24px; height: 24px; border: 0px; vertical-align: text-top\"><span class=\"bibbase_icon_text\">Bibtex</span> -->\n BibTeX\n <i class=\"fa fa-caret-down\"></i></a>\n \n \n &nbsp;\n <a class=\"bibbase_abstract_link bibbase link\"\n href=\"javascript:showAbstract('Itti_Borji14cog')\">\n Abstract\n <i class=\"fa fa-caret-down\"></i></a>\n \n \n \n\n \n \n \n</span>\n\n<div class=\"well well-small bibbase\" id=\"bib_Itti_Borji14cog\"\n style=\"display:none\">\n <pre>@incollection{ Itti_Borji14cog,\n author = {L. Itti and A. Borji},\n title = {Computational models of attention},\n abstract = {This chapter reviews recent computational models of visual\nattention. We begin with models for the bottom-up or stimulus-driven\nguidance of attention to salient visual items, which we examine in\nseven different broad categories. We then examine more complex models\nwhich address the top-down or goal-oriented guidance of attention\ntowards items that are more relevant to the task at hand.},\n booktitle = {Cognitive Neuroscience: The Biology of the Mind (Fifth Edition)},\n editor = {M. S. Gazzaniga and R. B. Ivry and G. R. Mangun},\n year = {2014},\n pages = {1-10},\n type = {rev}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" id=\"abstract_Itti_Borji14cog\"\n style=\"display:none\">\n This chapter reviews recent computational models of visual attention. We begin with models for the bottom-up or stimulus-driven guidance of attention to salient visual items, which we examine in seven different broad categories. We then examine more complex models which address the top-down or goal-oriented guidance of attention towards items that are more relevant to the task at hand.\n</div>\n\n\n</div>\n","downloads":0,"bibbaseid":"itti-borji-computationalmodelsofattention-2014","role":"author","year":"2014","type":"rev","title":"Computational models of attention","pages":"1-10","key":"Itti_Borji14cog","id":"Itti_Borji14cog","editor_short":["Gazzaniga, M.<nbsp>S.","Ivry, R.<nbsp>B.","Mangun, G.<nbsp>R."],"editor":["Gazzaniga, M. S.","Ivry, R. B.","Mangun, G. R."],"booktitle":"Cognitive Neuroscience: The Biology of the Mind (Fifth Edition)","bibtype":"incollection","bibtex":"@incollection{ Itti_Borji14cog,\n author = {L. Itti and A. Borji},\n title = {Computational models of attention},\n abstract = {This chapter reviews recent computational models of visual\nattention. We begin with models for the bottom-up or stimulus-driven\nguidance of attention to salient visual items, which we examine in\nseven different broad categories. We then examine more complex models\nwhich address the top-down or goal-oriented guidance of attention\ntowards items that are more relevant to the task at hand.},\n booktitle = {Cognitive Neuroscience: The Biology of the Mind (Fifth Edition)},\n editor = {M. S. Gazzaniga and R. B. Ivry and G. R. Mangun},\n year = {2014},\n pages = {1-10},\n type = {rev}\n}","author_short":["Itti, L.","Borji, A."],"author":["Itti, L.","Borji, A."],"abstract":"This chapter reviews recent computational models of visual attention. We begin with models for the bottom-up or stimulus-driven guidance of attention to salient visual items, which we examine in seven different broad categories. We then examine more complex models which address the top-down or goal-oriented guidance of attention towards items that are more relevant to the task at hand."},"bibtype":"incollection","biburl":"http://ilab.usc.edu/publications/src/ilab.bib","downloads":0,"search_terms":["computational","models","attention","itti","borji"],"title":"Computational models of attention","year":2014,"dataSources":["wedBDxEpNXNCLZ2sZ"]}