Dynamic Range of Vertebrate Retina Ganglion Cells: Importance of Active Dendrites and Coupling by Electrical Synapses
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{"title"=>"Dynamic Range of Vertebrate Retina Ganglion Cells: Importance of Active Dendrites and Coupling by Electrical Synapses", "type"=>"journal", "authors"=>[{"first_name"=>"Rodrigo", "last_name"=>"Publio", "scopus_author_id"=>"13102806300"}, {"first_name"=>"Cesar Celis", "last_name"=>"Ceballos", "scopus_author_id"=>"56989088400"}, {"first_name"=>"Antonio C.", "last_name"=>"Roque", "scopus_author_id"=>"35614678100"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "pui"=>"365953252", "doi"=>"10.1371/journal.pone.0048517", "sgr"=>"84868130495", "scopus"=>"2-s2.0-84868130495", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"23144767"}, "id"=>"d88ac4a8-2ae0-35b5-85ad-e7d07f25af74", "abstract"=>"The vertebrate retina has a very high dynamic range. This is due to the concerted action of its diverse cell types. Ganglion cells, which are the output cells of the retina, have to preserve this high dynamic range to convey it to higher brain areas. Experimental evidence shows that the firing response of ganglion cells is strongly correlated with their total dendritic area and only weakly correlated with their dendritic branching complexity. On the other hand, theoretical studies with simple neuron models claim that active and large dendritic trees enhance the dynamic range of single neurons. Theoretical models also claim that electrical coupling between ganglion cells via gap junctions enhances their collective dynamic range. In this work we use morphologically reconstructed multi-compartmental ganglion cell models to perform two studies. In the first study we investigate the relationship between single ganglion cell dynamic range and number of dendritic branches/total dendritic area for both active and passive dendrites. Our results support the claim that large and active dendrites enhance the dynamic range of a single ganglion cell and show that total dendritic area has stronger correlation with dynamic range than with number of dendritic branches. In the second study we investigate the dynamic range of a square array of ganglion cells with passive or active dendritic trees coupled with each other via dendrodendritic gap junctions. Our results suggest that electrical coupling between active dendritic trees enhances the dynamic range of the ganglion cell array in comparison with both the uncoupled case and the coupled case with cells with passive dendrites. The results from our detailed computational modeling studies suggest that the key properties of the ganglion cells that endow them with a large dynamic range are large and active dendritic trees and electrical coupling via gap junctions.", "link"=>"http://www.mendeley.com/research/dynamic-range-vertebrate-retina-ganglion-cells-importance-active-dendrites-coupling-electrical-synap", "reader_count"=>16, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Researcher"=>6, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>4}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Researcher"=>6, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>4}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>2, "Agricultural and Biological Sciences"=>4, "Medicine and Dentistry"=>1, "Neuroscience"=>4, "Physics and Astronomy"=>3, "Psychology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>4}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"United States"=>1, "Brazil"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/551943"], "description"=>"<p>Current clamp response for a sample cell from the SS group. The sampled cell has 47 branches and total dendritic area of 1284.67 μm2. (A) Voltage response to a current clamp of 10 pA amplitude. (B) FxI curve for the same cell model with inputs varying from 10 pA to 100 pA. The dashed lines indicate the minimum and maximum current amplitudes used to obtain the dynamic range of the cell.</p>", "links"=>[], "tags"=>["ophthalmology", "Computational biology", "cell biology", "neuroscience", "computer science"], "article_id"=>222431, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Response_functions_/222431", "title"=>"Response functions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:07:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/552059"], "description"=>"<p>(A) Amplitude of the action potential as a function of increasing current step. The current clamp is applied for 1000 ms and its amplitude increases linearly with time (I  = 0.01t). (B) Two-dimensional phase diagram showing membrane potential in the horizontal axis and the activation variable (<i>n</i>) of the potassion current for three different current clamp values: 0.1 nA (left), 0.6 nA (middle) and 1 nA (right). The left diagram shows a stable limit cycle while the right diagram shows a stable focus. The middle diagram corresponds to the region around bifurcation, in which there are many low amplitude oscilations before convergence to the fixed point.</p>", "links"=>[], "tags"=>["tonic", "firing"], "article_id"=>222557, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Transition_from_tonic_firing_to_rest_/222557", "title"=>"Transition from tonic firing to rest.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:07:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/552254"], "description"=>"<p>Plots in the first row are for cells with active dendrites and plots in the second row are for cells with passive dendrites. The plots also show the Pearson correlation coefficients and p-values. (A) Scatter plot of dynamic range <i>versus</i> number of dendritic branches (active dendrites). The dashed line represents the best linear fit for the data (B) Scatter plot of dynamic range <i>versus</i> total dendritic surface area (active dendrites). The dashed line represents the best linear fit for the data. (C) Scatter plot of dynamic range <i>versus</i> number of dendritic branches (passive dendrites). (D) Scatter plot of dynamic range <i>versus</i> total dendritic surface area (passive dendrites).</p>", "links"=>[], "tags"=>["plots", "dendrites", "dendritic", "passive"], "article_id"=>222751, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_plots_of_dynamic_range_versus_number_of_dendrites_and_total_dendritic_surface_area_for_active_and_passive_dendritic_trees_/222751", "title"=>"Scatter plots of dynamic range <i>versus</i> number of dendrites and total dendritic surface area for active and passive dendritic trees.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:08:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/552388"], "description"=>"<p>(A) Dynamic range of the ganglion cell model as function of the area factor (see main text for a definition) of the extra attached compartment. Black dots indicate active extra compartment, and black squares indicate passive extra compartment. (B) Difference Γ between the dynamic ranges for active and passive cases as a function of the area factor.</p>", "links"=>[], "tags"=>["dendritic"], "article_id"=>222889, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_dendritic_surface_area_on_single_cell_8217_s_dynamic_range_/222889", "title"=>"Effect of dendritic surface area on single cell’s dynamic range.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:09:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/552505"], "description"=>"<p>Ganglion cells are placed in the vertices of a 3×3 square grid and are coupled with their first neighbors via dendrodendritic gap junctions. Each ganglion cell makes an excitatory chemical synapse with a pyramidal cell from the LGN. Only the central cell of the array (indicated by an arrow) receives external input in the form of current clamps of varying amplitudes.</p>", "links"=>[], "tags"=>["ophthalmology", "Computational biology", "cell biology", "neuroscience", "computer science"], "article_id"=>223002, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_scheme_of_the_network_model_/223002", "title"=>"A scheme of the network model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:10:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/552589"], "description"=>"<p>In all cases, to calculate steady state firing frequencies, the input current was applied for 0.3 seconds. (A) Ganglion cells with passive dendritic trees. (B) Ganglion cells with active dendritic trees. The dashed line represents the maximum current value for the cell with response curve indicated in blue in Figure A. The factor <i>f</i> shows the displacement of this maximum current to the right when cells have active dendrites. The average dynamic range of the 9 ganglion cells of the network (δ) for each case is shown above the corresponding graph.</p>", "links"=>[], "tags"=>["curves", "ganglion", "cells"], "article_id"=>223089, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_F_I_curves_for_ganglion_cells_in_the_array_/223089", "title"=>"F-I curves for ganglion cells in the array.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:10:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/552728"], "description"=>"<p>Firing frequency of the pyramidal neuron of the LGN as a function of input current applied to the central cell of the ganglion cell array. The vertical dashed line gives the input current for which the central ganglion cell in the array stops firing (580 pA). The dynamic range of the FxI curve is 34.8 dB.</p>", "links"=>[], "tags"=>["pyramidal", "neuron"], "article_id"=>223228, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.g007"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_F_I_curve_of_the_pyramidal_neuron_model_/223228", "title"=>"F-I curve of the pyramidal neuron model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:11:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/552774"], "description"=>"<p>Maximum conductance densities of the active ion channels of the ganglion cell models.</p>", "links"=>[], "tags"=>["conductance", "densities", "ion", "channels", "ganglion"], "article_id"=>223265, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Maximum_conductance_densities_of_the_active_ion_channels_of_the_ganglion_cell_models_/223265", "title"=>"Maximum conductance densities of the active ion channels of the ganglion cell models.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:11:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/552797"], "description"=>"<p>Passive parameters of the ganglion cell models.</p>", "links"=>[], "tags"=>["parameters", "ganglion"], "article_id"=>223297, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Passive_parameters_of_the_ganglion_cell_models_/223297", "title"=>"Passive parameters of the ganglion cell models.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:11:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/552830"], "description"=>"<p>We used the Wilcoxon rank-sum test to reject the null hypothesis of equal medians with p<0.001.</p>", "links"=>[], "tags"=>["ganglion", "models", "passive"], "article_id"=>223322, "categories"=>["Information And Computing Sciences", "Biological Sciences", "Neuroscience", "Cell Biology", "Medicine"], "users"=>["Rodrigo Publio", "Cesar Celis Ceballos", "Antonio C. Roque"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0048517.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dynamic_range_statistics_for_single_ganglion_cell_models_with_active_and_passive_dendrites_/223322", "title"=>"Dynamic range statistics for single ganglion cell models with active and passive dendrites.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:11:51"}

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Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Biophysics", "average_usage"=>[314, 536, 650, 747, 817, 883, 967, 1049, 1130, 1217, 1277, 1348, 1401, 1458, 1522, 1577, 1627, 1707, 1762, 1816, 1874, 1931, 1969, 2026, 2084]}, {"subject_area"=>"/Biology and life sciences/Cell biology", "average_usage"=>[319, 556, 679, 785, 881, 970, 1062, 1149, 1236, 1323, 1402, 1474, 1545, 1617, 1681, 1754, 1822, 1892, 1963, 2031, 2099, 2165, 2233, 2299, 2359]}, {"subject_area"=>"/Biology and life sciences/Neuroscience", "average_usage"=>[325, 542, 658, 757, 836, 925, 1015, 1095, 1177, 1263, 1338, 1411, 1477, 1537, 1599, 1663, 1726, 1795, 1857, 1921, 1979, 2041, 2099, 2150, 2205]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[307, 536, 653, 753, 839, 926, 1017, 1103, 1189, 1268, 1348, 1425, 1492, 1557, 1620, 1686, 1759, 1825, 1891, 1950, 2014, 2079, 2141, 2200, 2255]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[304, 506, 616, 712, 799, 879, 968, 1052, 1134, 1212, 1284, 1357, 1427, 1494, 1557, 1621, 1689, 1756, 1823, 1883, 1944, 1997, 2056, 2118, 2171]}]}
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