The Speed of Smell: Odor-Object Segregation within Milliseconds
Publication Date
April 27, 2012
Journal
PLOS ONE
Authors
Paul Szyszka, Jacob S. Stierle, Stephanie Biergans & C. Giovanni Galizia
Volume
7
Issue
4
Pages
e36096
DOI
https://dx.plos.org/10.1371/journal.pone.0036096
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0036096
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/22558344
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338635
Europe PMC
http://europepmc.org/abstract/MED/22558344
Web of Science
000305336000128
Scopus
84860449063
Mendeley
http://www.mendeley.com/research/speed-smell-odorobject-segregation-within-milliseconds
Events
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Mendeley | Further Information

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Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/332831"], "description"=>"<div><p>Segregating objects from background, and determining which of many concurrent stimuli belong to the same object, remains one of the most challenging unsolved problems both in neuroscience and in technical applications. While this phenomenon has been investigated in depth in vision and audition it has hardly been investigated in olfaction. We found that for honeybees a 6-ms temporal difference in stimulus coherence is sufficient for odor-object segregation, showing that the temporal resolution of the olfactory system is much faster than previously thought.</p> </div>", "links"=>[], "tags"=>["odor-object", "segregation", "milliseconds"], "article_id"=>125728, "categories"=>["Neuroscience", "Evolutionary Biology"], "users"=>["Paul Szyszka", "Jacob S. Stierle", "Stephanie Biergans", "C. Giovanni Galizia"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036096", "stats"=>{"downloads"=>2, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_Speed_of_Smell_Odor_Object_Segregation_within_Milliseconds/125728", "title"=>"The Speed of Smell: Odor-Object Segregation within Milliseconds", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-04-27 01:35:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/646127"], "description"=>"<p>(<b>a</b>) Each bee received 3 rewarded training trials with <i>A</i>, and the percentage of bees showing odor-evoked proboscis extension is shown. Odorant stimulus duration was 800 ms. During the memory test, odorants <i>A</i> and <i>B</i> were presented simultaneously (coherent mixture, <i>AB</i>) or with a 6-ms interval between their onsets (incoherent mixture). One incoherent mixture started with <i>A</i> (<i>A.B</i>), the other with <i>B</i> (<i>B.A</i>). Test stimulus sequence was randomized. The proboscis extension rate for the incoherent mixtures was higher than for the coherent mixture (one-way RM ANOVA; F(2, 425) = 17.1, p<0.001, Holm-Sidak posthoc test; N = 142). (<b>b</b>) Same experimental protocol as in (a) but odorant <i>A</i> was presented against the background of odorant <i>B</i> (<i>B.A.B</i>) and odorant <i>B</i> against odorant <i>A</i> (<i>A.B.A</i>). Background-odorant lasted 806 ms, starting 6 ms before and stopping 6 ms after the 794-ms long foreground-odorant. The proboscis extension rate for the incoherent mixtures was higher than for the coherent mixture (F(2, 968) = 4.7, p<0.01; N = 323). Experiments in (a) and (b) were done at different times of the year, and the response difference during training and testing to <i>AB</i> might reflect seasonal differences in learning and memory performance. ***, p<0.001; *, p<0.02.</p>", "links"=>[], "tags"=>["6-ms", "temporal", "coherence", "odor-object"], "article_id"=>316618, "categories"=>["Neuroscience", "Evolutionary Biology"], "users"=>["Paul Szyszka", "Jacob S. Stierle", "Stephanie Biergans", "C. Giovanni Galizia"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036096.g002", "stats"=>{"downloads"=>2, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_6_ms_temporal_difference_in_stimulus_coherence_is_sufficient_for_odor_object_segregation_/316618", "title"=>"A 6-ms temporal difference in stimulus coherence is sufficient for odor-object segregation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-04-27 01:50:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/645979"], "description"=>"<p>(<b>a</b>) Electroantennogram (EAG) response to odorant stimuli delivered by channel 1 (magenta, shifted up for clarity) and channel 2 (green) of the olfactometer. 13 single measurements and superimposed mean (dark trace). Stimulus duration was 800 ms. Channel 1 and 2 were measured sequentially. (<b>b</b>) Blow-up of the stimulus onset and offset (shaded period in (a)), shifted vertically for clarity. Top: Channel 1 and 2 opened and closed simultaneously (data from (a)). Middle: Channel 2 opened and closed 6 ms after channel 1. Bottom: Channel 1 opened and closed 6 ms after channel 2. N = 13 measurements each. To detect possible mechanical effects of opening two channels in the incoherent mixture, a blank channel was opened 6 ms before or after the opening of the tracer channel (middle: blank opened 6 ms after channel 1 or 6 ms before channel 2, bottom: vice versa). All traces were normalized to the amplitude maximum. (<b>c</b>) Percentage of EAG recordings for pairs of channel 1 and 2 that reached either 10, 30 or 63% of the amplitude maximum within a given coincidence interval. EAG1 (26 recordings per channel, 676 pairs, same data as in (a) and (b)) and EAG2 (28 recordings per channel, 784 pairs) show data from two independent EAG recordings.</p>", "links"=>[], "tags"=>["characteristics", "odorant"], "article_id"=>316471, "categories"=>["Neuroscience", "Evolutionary Biology"], "users"=>["Paul Szyszka", "Jacob S. Stierle", "Stephanie Biergans", "C. Giovanni Galizia"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036096.g001", "stats"=>{"downloads"=>1, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temporal_characteristics_of_the_odorant_stimuli_/316471", "title"=>"Temporal characteristics of the odorant stimuli.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-04-27 01:47:51"}

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  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
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  • {"unique-ip"=>"15", "full-text"=>"26", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"10"}
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Relative Metric

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