Insect Brains Use Image Interpolation Mechanisms to Recognise Rotated Objects
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Mendeley | Further Information

{"title"=>"Insect brains use image interpolation mechanisms to recognise rotated objects", "type"=>"journal", "authors"=>[{"first_name"=>"Adrian G.", "last_name"=>"Dyer", "scopus_author_id"=>"7101810697"}, {"first_name"=>"Quoc C.", "last_name"=>"Vuong", "scopus_author_id"=>"6603878019"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0004086", "sgr"=>"58149327132", "issn"=>"19326203", "pui"=>"354049367", "isbn"=>"1932-6203", "pmid"=>"19116650", "scopus"=>"2-s2.0-58149327132"}, "id"=>"3402d84c-cd74-356e-8b93-7d6c4a14fa94", "abstract"=>"Recognising complex three-dimensional objects presents significant challenges to visual systems when these objects are rotated in depth. The image processing requirements for reliable individual recognition under these circumstances are computationally intensive since local features and their spatial relationships may significantly change as an object is rotated in the horizontal plane. Visual experience is known to be important in primate brains learning to recognise rotated objects, but currently it is unknown how animals with comparatively simple brains deal with the problem of reliably recognising objects when seen from different viewpoints. We show that the miniature brain of honeybees initially demonstrate a low tolerance for novel views of complex shapes (e.g. human faces), but can learn to recognise novel views of stimuli by interpolating between or 'averaging' views they have experienced. The finding that visual experience is also important for bees has important implications for understanding how three dimensional biologically relevant objects like flowers are recognised in complex environments, and for how machine vision might be taught to solve related visual problems.", "link"=>"http://www.mendeley.com/research/insect-brains-image-interpolation-mechanisms-recognise-rotated-objects", "reader_count"=>62, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>20, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>4, "Student > Bachelor"=>2, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>5}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>20, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>4, "Student > Bachelor"=>2, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>5}, "reader_count_by_subject_area"=>{"Engineering"=>5, "Environmental Science"=>1, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>33, "Arts and Humanities"=>2, "Neuroscience"=>3, "Psychology"=>10, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Neuroscience"=>{"Neuroscience"=>3}, "Psychology"=>{"Psychology"=>10}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>33}, "Computer Science"=>{"Computer Science"=>4}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"United States"=>3, "Japan"=>1, "United Kingdom"=>2, "Mexico"=>1, "Australia"=>1, "Germany"=>4}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/911878"], "description"=>"<p>Bees in Groups 1 and 2 could not recognise a novel view of the target different from chance performance (50%), but bees in Group 3 could recognise a novel 30° view (by interpolating 0° and 60° images). Bees in Group 4 could not recognise a novel presentation of 60° by extrapolating from learnt 0° and 30° views. For non-significant results (ns) p>0.35.</p>", "links"=>[], "tags"=>["choices", "honeybees", "recognising", "images", "rotated"], "article_id"=>582335, "categories"=>["Neuroscience", "Information And Computing Sciences"], "users"=>["Adrian G. Dyer", "Quoc C. Vuong"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004086.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_frequency_of_correct_choices_177_s_d_for_honeybees_recognising_images_of_rotated_face_stimuli_/582335", "title"=>"Mean frequency of correct choices (±s.d.) for honeybees recognising images of rotated face stimuli.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 07:12:53"}
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  • {"files"=>["https://ndownloader.figshare.com/files/911739"], "description"=>"<p>Rotated face stimuli used to train bees with differential conditioning.</p>", "links"=>[], "tags"=>["stimuli", "bees", "differential"], "article_id"=>582199, "categories"=>["Neuroscience", "Information And Computing Sciences"], "users"=>["Adrian G. Dyer", "Quoc C. Vuong"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004086.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Rotated_face_stimuli_used_to_train_bees_with_differential_conditioning_/582199", "title"=>"Rotated face stimuli used to train bees with differential conditioning.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 07:12:07"}

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Relative Metric

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Net::HTTPTooManyRequests

Source
Scopus
Time
2019-08-15 21:10:53 UTC
Target URL
https://api.elsevier.com/content/search/index:SCOPUS?query=DOI(10.1371%2Fjournal.pone.0004086)
Trace

/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'