Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex
Publication Date
July 10, 2009
Journal
PLOS Computational Biology
Authors
Shigeru Shinomoto, Hideaki Kim, Takeaki Shimokawa, Nanae Matsuno, et al
Volume
5
Issue
7
Pages
e1000433
DOI
http://doi.org/10.1371/journal.pcbi.1000433
Publisher URL
http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1000433
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/19593378
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701610
Europe PMC
http://europepmc.org/abstract/MED/19593378
Web of Science
000269220100024
Scopus
68249088380
Mendeley
http://www.mendeley.com/research/relating-neuronal-firing-patterns-functional-differentiation-cerebral-cortex-5
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{"title"=>"Relating neuronal firing patterns to functional differentiation of cerebral cortex", "type"=>"journal", "authors"=>[{"first_name"=>"Shigeru", "last_name"=>"Shinomoto", "scopus_author_id"=>"6701756830"}, {"first_name"=>"Hideaki", "last_name"=>"Kim", "scopus_author_id"=>"35071562300"}, {"first_name"=>"Takeaki", "last_name"=>"Shimokawa", "scopus_author_id"=>"14025153300"}, {"first_name"=>"Nanae", "last_name"=>"Matsuno", "scopus_author_id"=>"35071747800"}, {"first_name"=>"Shintaro", "last_name"=>"Funahashi", "scopus_author_id"=>"7102528252"}, {"first_name"=>"Keisetsu", "last_name"=>"Shima", "scopus_author_id"=>"35578079300"}, {"first_name"=>"Ichiro", "last_name"=>"Fujita", "scopus_author_id"=>"55722698900"}, {"first_name"=>"Hiroshi", "last_name"=>"Tamura", "scopus_author_id"=>"55458238900"}, {"first_name"=>"Taijiro", "last_name"=>"Doi", "scopus_author_id"=>"35071199500"}, {"first_name"=>"Kenji", "last_name"=>"Kawano", "scopus_author_id"=>"36874904400"}, {"first_name"=>"Naoko", "last_name"=>"Inaba", "scopus_author_id"=>"26663597200"}, {"first_name"=>"Kikuro", "last_name"=>"Fukushima", "scopus_author_id"=>"55446946000"}, {"first_name"=>"Sergei", "last_name"=>"Kurkin", "scopus_author_id"=>"7004033930"}, {"first_name"=>"Kiyoshi", "last_name"=>"Kurata", "scopus_author_id"=>"7101658716"}, {"first_name"=>"Masato", "last_name"=>"Taira", "scopus_author_id"=>"57189369506"}, {"first_name"=>"Ken Ichiro", "last_name"=>"Tsutsui", "scopus_author_id"=>"56457605400"}, {"first_name"=>"Hidehiko", "last_name"=>"Komatsu", "scopus_author_id"=>"7202894014"}, {"first_name"=>"Tadashi", "last_name"=>"Ogawa", "scopus_author_id"=>"35278533200"}, {"first_name"=>"Kowa", "last_name"=>"Koida", "scopus_author_id"=>"6505791629"}, {"first_name"=>"Jun", "last_name"=>"Tanji", "scopus_author_id"=>"55406901800"}, {"first_name"=>"Keisuke", "last_name"=>"Toyama", "scopus_author_id"=>"35370179600"}], "year"=>2009, "source"=>"PLoS Computational Biology", "identifiers"=>{"scopus"=>"2-s2.0-68249088380", "doi"=>"10.1371/journal.pcbi.1000433", "isbn"=>"1553-734X", "sgr"=>"68249088380", "issn"=>"1553734X", "pui"=>"355053826", "pmid"=>"19593378"}, "id"=>"f3ca5e5b-7476-38b1-80ce-8e6398d629a3", "abstract"=>"It has been empirically established that the cerebral cortical areas defined by Brodmann one hundred years ago solely on the basis of cellular organization are closely correlated to their function, such as sensation, association, and motion. Cytoarchitectonically distinct cortical areas have different densities and types of neurons. Thus, signaling patterns may also vary among cytoarchitectonically unique cortical areas. To examine how neuronal signaling patterns are related to innate cortical functions, we detected intrinsic features of cortical firing by devising a metric that efficiently isolates non-Poisson irregular characteristics, independent of spike rate fluctuations that are caused extrinsically by ever-changing behavioral conditions. Using the new metric, we analyzed spike trains from over 1,000 neurons in 15 cortical areas sampled by eight independent neurophysiological laboratories. Analysis of firing-pattern dissimilarities across cortical areas revealed a gradient of firing regularity that corresponded closely to the functional category of the cortical area; neuronal spiking patterns are regular in motor areas, random in the visual areas, and bursty in the prefrontal area. 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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/891379"], "description"=>"<p>The map plots the first and second components of Kruskal's nonmetric multidimensional scaling (MDS) analysis for the Hellinger distances of the metric distributions for all combinations of 19 neuronal data sets. The primary motor, higher-order motor, visual, and prefrontal areas are indicated by black hexagons, blue pentagons, red triangles, and green squares, respectively. The number in brackets next to the notation for each cortical area indicates data sets 1–19 shown in <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000433#pcbi-1000433-g003\" target=\"_blank\">Figure 3C</a> and <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000433#pcbi-1000433-t001\" target=\"_blank\">Table 1</a>.</p>", "links"=>[], "tags"=>["mds", "cortical", "neuronal", "firing"], "article_id"=>561810, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.g004", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_MDS_map_of_cortical_neuronal_firing_based_on_LvR_/561810", "title"=>"A MDS map of cortical neuronal firing based on <i>LvR</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:20:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/891207"], "description"=>"<p>(A) The distribution of <i>LvR</i> determined across 2,000 ISI sequences for all 1,307 cortical neurons. (B) Top: Original and rescaled specimen spike sequences of representative neurons with an <i>LvR</i> of 0.5, 1.0, and 1.5 taken from data sets #2 (SMA), #10 (TE) and #19 (MT). Triangle and horizontal bars for the three original spike sequences indicate the onset of wrist movement and periods of visual stimulation, respectively. Dashed lines indicate the correspondence between the original and the rescaled fractions (10 ISIs) for which the time-scale is normalized to the average firing rate of that fraction. Bottom: Metric distributions for fractional sequences derived from neurons whose representative (mean) <i>LvR</i> values are within the range of ±0.05 around 0.5, 1.0, and 1.5 (blue, green and red bars in <i>A</i>, n = 92, 91 and 60). (C) <i>LvR</i> distributions for the 19 neuronal data sets (<a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000433#pcbi-1000433-t001\" target=\"_blank\">Table 1</a>), shown in order of ascending mean <i>LvR</i>. The primary motor, higher-order motor, visual, and prefrontal areas are indicated as hexagons, pentagons, triangles, and squares, respectively.</p>", "links"=>[], "tags"=>["distributions", "subpopulations"], "article_id"=>561637, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.g003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_LvR_distributions_for_the_entire_population_and_subpopulations_of_neurons_/561637", "title"=>"<i>LvR</i> distributions for the entire population and subpopulations of neurons.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:19:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/890941"], "description"=>"<p>Intervals are aligned (A) in a regular order, (B) randomly, and (C) alternating between short and long.</p>", "links"=>[], "tags"=>["sequences", "sets", "inter-spike"], "article_id"=>561351, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.g001", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spike_sequences_that_have_identical_sets_of_inter_spike_intervals_/561351", "title"=>"Spike sequences that have identical sets of inter-spike intervals.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:17:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/891678"], "description"=>"<p>List of the cortical areas, experimental attributes and references for neuronal spike data (in order of ascending mean <i>LvR</i>).</p>", "links"=>[], "tags"=>["cortical", "attributes", "references", "neuronal", "spike", "ascending"], "article_id"=>562105, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.t001", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_List_of_the_cortical_areas_experimental_attributes_and_references_for_neuronal_spike_data_in_order_of_ascending_mean_LvR_/562105", "title"=>"List of the cortical areas, experimental attributes and references for neuronal spike data (in order of ascending mean <i>LvR</i>).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 05:21:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/891045"], "description"=>"<p>(A) Dependence of <i>LvR</i> on the refractoriness constant, <i>R</i>. Ordinate, performance of <i>LvR</i> estimated as the <i>F</i>-value of ANOVA for the entire 1,307 neurons. (B) Peristimulus spike rasters and histograms for two MT neurons during a stimulus with textured image motion from 500–700 ms (thick horizontal bar) <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000433#pcbi.1000433-Inaba1\" target=\"_blank\">[47]</a>. The spike rasters were aligned to the onset of a fixation target (the origin of the abscissa) upon which the monkey was required to fixate. The perievent metrics <i>Cv</i>, <i>Lv</i> and <i>LvR</i> were determined for spike rasters sampled in time windows of ±50 ms around the time of each bin. Error bars indicate the confidence level (p<0.05, t-distribution). (C) Scatter plots of the six metrics plotted against fluctuation in the firing rate across 20 ISI segments from the 1,307 neurons. The ordinate and abscissa represent the deviations of the metric and the firing rate from the means, normalized to SD, respectively. Colored lines represent average slopes.</p>", "links"=>[], "tags"=>["firing", "irregularity"], "article_id"=>561482, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Performance_of_LvR_and_other_firing_irregularity_metrics_/561482", "title"=>"Performance of <i>LvR</i> and other firing irregularity metrics.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:18:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/891566"], "description"=>"<p>(A), (B) and (C): Left: Distributions of 2,000 interspike intervals (ISIs) from neurons that exhibited <i>LvR</i> = 0.5, 1.0, and 1.5, respectively. For <i>LvR</i> values, three neurons are sampled that exhibited different <i>Cv</i> values close to 1.0, 1.5, and 2.0. Right: Sample firing patterns consisting of 100 consecutive ISIs for each.</p>", "links"=>[], "tags"=>["distributions", "firing"], "article_id"=>561997, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.g006", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ISI_distributions_and_sample_firing_patterns_/561997", "title"=>"ISI distributions and sample firing patterns.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:21:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/891483"], "description"=>"<p>Mean values of <i>Lv</i>, <i>Cv</i>, and firing rate from the 19 data sets are plotted with reference to the mean <i>LvR</i>. Correlations are r = 0.95, 0.54, and 0.05, respectively. The black hexagons, blue pentagons, red triangles, and green squares represent the primary motor, higher-order motor, visual, and prefrontal areas, respectively, as described in <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000433#pcbi-1000433-g004\" target=\"_blank\">Figure 4</a>.</p>", "links"=>[], "tags"=>["computational biology/computational neuroscience", "neuroscience/neuronal signaling mechanisms", "neuroscience/theoretical neuroscience"], "article_id"=>561909, "categories"=>["Neuroscience", "Medicine"], "users"=>["Shigeru Shinomoto", "Hideaki Kim", "Takeaki Shimokawa", "Nanae Matsuno", "Shintaro Funahashi", "Keisetsu Shima", "Ichiro Fujita", "Hiroshi Tamura", "Taijiro Doi", "Kenji Kawano", "Naoko Inaba", "Kikuro Fukushima", "Sergei Kurkin", "Kiyoshi Kurata", "Masato Taira", "Ken-Ichiro Tsutsui", "Hidehiko Komatsu", "Tadashi Ogawa", "Kowa Koida", "Jun Tanji", "Keisuke Toyama"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1000433.g005", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_of_various_metrics_/561909", "title"=>"Correlation of various metrics.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:20:30"}

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