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Performance Characterization of Watson Ahumada Motion Detector Using Random Dot Rotary Motion Stimuli

Publication Date: February 19, 2009
Journal: PLOS ONE
Author: Siddharth Jain
Volume: 4
Issue: 2
Pages: e4536
DOI: http://doi.org/10.1371/journal.pone.0004536
Publisher URL: http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0004536
PubMed: http://www.ncbi.nlm.nih.gov/pubmed/19225571
PubMed Central: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640429
Europe PMC: http://europepmc.org/abstract/MED/19225571
Web of Science: 000265486000011
Scopus: 84887212442
Mendeley: http://www.mendeley.com/research/performance-characterization-watson-ahumada-motion-detector-using-random-dot-rotary-motion-stimuli

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{"link"=>{"url"=>"http://www.citeulike.org/user/PaperCollector/article/5212525"}, "post_time"=>"2009-07-21 00:12:50", "tag"=>["imp", "motion_spiral", "motionmodels", "mst"], "linkout"=>[{"type"=>"DOI", "url"=>"http://dx.doi.org/10.1371/journal.pone.0004536"}, {"type"=>"Pubmed Central", "url"=>"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640429/"}, {"type"=>"Pubmed", "url"=>"http://view.ncbi.nlm.nih.gov/pubmed/19225571"}, {"type"=>"Hubmed", "url"=>"http://www.hubmed.org/display.cgi?uids=19225571"}], "username"=>"PaperCollector", "article_id"=>"5212525"}

Mendeley 1420 Apr 17:09 UTC

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{"title"=>"Performance characterization of Watson Ahumada motion detector using random dot rotary motion stimuli", "type"=>"journal", "authors"=>[{"first_name"=>"Siddharth", "last_name"=>"Jain", "scopus_author_id"=>"57199046064"}], "year"=>2009, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"19225571", "doi"=>"10.1371/journal.pone.0004536", "sgr"=>"84887212442", "scopus"=>"2-s2.0-84887212442", "issn"=>"19326203", "pui"=>"354232972"}, "id"=>"49d2dc2a-f6fd-3015-b60f-1cfd06edef45", "abstract"=>"The performance of Watson & Ahumada's model of human visual motion sensing is compared against human psychophysical performance. The stimulus consists of random dots undergoing rotary motion, displayed in a circular annulus. The model matches psychophysical observer performance with respect to most parameters. It is able to replicate some key psychophysical findings such as invariance of observer performance to dot density in the display, and decrease of observer performance with frame duration of the display.Associated with the concept of rotary motion is the notion of a center about which rotation occurs. One might think that for accurate estimation of rotary motion in the display, this center must be accurately known. A simple vector analysis reveals that this need not be the case. Numerical simulations confirm this result, and may explain the position invariance of MST(d) cells. Position invariance is the experimental finding that rotary motion sensitive cells are insensitive to where in their receptive field rotation occurs.When all the dots in the display are randomly drawn from a uniform distribution, illusory rotary motion is perceived. This case was investigated by Rose & Blake previously, who termed the illusory rotary motion the omega effect. Two important experimental findings are reported concerning this effect. First, although the display of random dots evokes perception of rotary motion, the direction of motion perceived does not depend on what dot pattern is shown. Second, the time interval between spontaneous flips in perceived direction is lognormally distributed (mode approximately 2 s). These findings suggest the omega effect fits in the category of a typical bistable illusion, and therefore the processes that give rise to this illusion may be the same processes that underlie much of other bistable phenomenon.", "link"=>"http://www.mendeley.com/research/performance-characterization-watson-ahumada-motion-detector-using-random-dot-rotary-motion-stimuli", "reader_count"=>14, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>4, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>4, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>1, "Arts and Humanities"=>1, "Neuroscience"=>2, "Psychology"=>4, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>2}, "Psychology"=>{"Psychology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"France"=>1}, "group_count"=>0}

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{"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/fac6771f-0609-4c63-b889-881e21befe7a", "title"=>"Which Way Are They Moving? -- Ernest Greene, Academic Editor", "body"=>"\nThere has been some work on modeling of rotational motion, but efforts to compare the models against tests of human judgments are almost nonexistent. The present work studied psychophysical performance with rotation of random dots, and found that a model proposed by Watson & Ahumada accounts for most, but not all, of the judgments. As predicted, density of the dots was not critical to effective performance, and the time needed for judgments was appropriate. An unexpected finding was that the ability of the model to judge direction of motion did not depend on knowing the location of the center of motion. The implications for neural encoding mechanisms are discussed.\n\n", "isRemoved"=>false, "created"=>"2009-04-28T15:18:54Z", "lastModified"=>"2009-04-28T15:18:54Z", "creator"=>{"userId"=>"105713"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>false}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0004536", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2009-04-28T15:18:54Z", "replies"=>[]}

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Figshare

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{"files"=>["https://ndownloader.figshare.com/files/907852"], "description"=>"The offset is given by where is radius of inner circle.", "links"=>[], "tags"=>["represents", "rotary", "computed"], "article_id"=>578311, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g012", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Point_O_represents_the_true_center_of_rotation_whereas_point_C_is_the_center_relative_to_which_rotary_motion_is_computed_by_the_model_/578311", "title"=>"Point O represents the true center of rotation, whereas point C is the center relative to which rotary motion is computed by the model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:18:31"}
{"files"=>["https://ndownloader.figshare.com/files/908108"], "description"=>"Center-to-center spacing = 17′ in both cases.", "links"=>[], "tags"=>["tangential", "dipoles", "radial"], "article_id"=>578569, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g016", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_a_tangential_dipoles_b_radial_dipoles_/578569", "title"=>"(a) tangential dipoles (b) radial dipoles.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:22:49"}
{"files"=>["https://ndownloader.figshare.com/files/908233"], "description"=>"Probability of mismatch values for dot densities in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004536#pone-0004536-g007\" target=\"_blank\">Figure 7</a>.", "links"=>[], "tags"=>["mismatch", "densities"], "article_id"=>578699, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Probability_of_mismatch_values_for_dot_densities_in_Figure_7_/578699", "title"=>"Probability of mismatch values for dot densities in Figure 7.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-02-19 02:24:59"}
{"files"=>["https://ndownloader.figshare.com/files/907957"], "description"=>"In case of type 1 only one sector is displayed, whereas in case of type 2 two sectors located diametrically opposite to each other, and each half the size of sector in type 1, are displayed. (a) human performance (b) model performance.", "links"=>[], "tags"=>["mathematics/fourier analysis", "neuroscience/theoretical neuroscience", "neuroscience/psychology", "computer science/natural and synthetic vision", "neuroscience/natural and synthetic vision"], "article_id"=>578413, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g014", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_sector_/578413", "title"=>"χ vs. sector.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:20:13"}
{"files"=>["https://ndownloader.figshare.com/files/908048"], "description"=>"c = 0.5, fd = 30 ms, dd = 5 dots/degrees2, ic = 7°.", "links"=>[], "tags"=>["inserting", "frames", "correlated"], "article_id"=>578514, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g015", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_inserting_K_random_frames_between_correlated_frames_/578514", "title"=>"Effect of inserting K random frames between correlated frames.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:21:54"}
{"files"=>["https://ndownloader.figshare.com/files/449383", "https://ndownloader.figshare.com/files/449409", "https://ndownloader.figshare.com/files/449431"], "description"=>"<div>The performance of Watson & Ahumada's model of human visual motion sensing is compared against human psychophysical performance. The stimulus consists of random dots undergoing rotary motion, displayed in a circular annulus. The model matches psychophysical observer performance with respect to most parameters. It is able to replicate some key psychophysical findings such as invariance of observer performance to dot density in the display, and decrease of observer performance with frame duration of the display.Associated with the concept of rotary motion is the notion of a center about which rotation occurs. One might think that for accurate estimation of rotary motion in the display, this center must be accurately known. A simple vector analysis reveals that this need not be the case. Numerical simulations confirm this result, and may explain the position invariance of MST(d) cells. Position invariance is the experimental finding that rotary motion sensitive cells are insensitive to where in their receptive field rotation occurs.When all the dots in the display are randomly drawn from a uniform distribution, illusory rotary motion is perceived. This case was investigated by Rose & Blake previously, who termed the illusory rotary motion the omega effect. Two important experimental findings are reported concerning this effect. First, although the display of random dots evokes perception of rotary motion, the direction of motion perceived does not depend on what dot pattern is shown. Second, the time interval between spontaneous flips in perceived direction is lognormally distributed (mode≈2 s). These findings suggest the omega effect fits in the category of a typical bistable illusion, and therefore the processes that give rise to this illusion may be the same processes that underlie much of other bistable phenomenon.</div>", "links"=>[], "tags"=>["characterization", "watson", "ahumada", "detector", "rotary", "stimuli"], "article_id"=>148572, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0004536.s001", "https://dx.doi.org/10.1371/journal.pone.0004536.s002", "https://dx.doi.org/10.1371/journal.pone.0004536.s003"], "stats"=>{"downloads"=>10, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Performance_Characterization_of_Watson_Ahumada_Motion_Detector_Using_Random_Dot_Rotary_Motion_Stimuli/148572", "title"=>"Performance Characterization of Watson Ahumada Motion Detector Using Random Dot Rotary Motion Stimuli", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2009-02-19 02:22:52"}
{"files"=>["https://ndownloader.figshare.com/files/907450"], "description"=>"(a) χ vs. c (b) τ vs. c (fd = 30 ms, ic = 7°, dd = 5 dots/degrees2) (c) τ vs. χ scatter plot and piecewise linear fit for experimental data.", "links"=>[], "tags"=>["piecewise", "linear"], "article_id"=>577914, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g005", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_a_vs_c_b_vs_c_fd_30_ms_ic_7_dd_5_dots_degrees_2_c_964_vs_967_scatter_plot_and_piecewise_linear_fit_for_experimental_data_/577914", "title"=>"(a) χ vs. c (b) τ vs. c (fd = 30 ms, ic = 7°, dd = 5 dots/degrees2) (c) τ vs. χ scatter plot and piecewise linear fit for experimental data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:11:54"}
{"files"=>["https://ndownloader.figshare.com/files/907808"], "description"=>"The dashed lines denote the window of visibility <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004536#pone.0004536-Watson3\" target=\"_blank\">[30]</a>.", "links"=>[], "tags"=>["fourier", "undergoing", "coherent", "translational", "periodic", "lies", "infinitely", "planes"], "article_id"=>578270, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g011", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_Fourier_Transform_of_an_image_undergoing_coherent_translational_motion_periodic_reverse_contrast_lies_on_infinitely_many_planes_of_the_form_with_being_an_odd_number_/578270", "title"=>"The Fourier Transform of an image undergoing coherent translational motion + periodic reverse contrast lies on infinitely many planes of the form , with being an odd number.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:17:50"}
{"files"=>["https://ndownloader.figshare.com/files/907748"], "description"=>"fd = 30 ms, ic = 7°, dd = 2.5 dots/degrees2.", "links"=>[], "tags"=>["reversing"], "article_id"=>578215, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g010", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_c_for_contrast_reversing_dots_/578215", "title"=>"χ vs. c for contrast reversing dots.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:16:55"}
{"files"=>["https://ndownloader.figshare.com/files/907567"], "description"=>"c = 0.2, ic = 7°, fd = 30 ms. Model simulations done at 256×256 pixel resolution for dd>10.", "links"=>[], "tags"=>["mathematics/fourier analysis", "neuroscience/theoretical neuroscience", "neuroscience/psychology", "computer science/natural and synthetic vision", "neuroscience/natural and synthetic vision"], "article_id"=>578027, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g007", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_dot_density_dd_/578027", "title"=>"χ vs. dot density dd.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:13:47"}
{"files"=>["https://ndownloader.figshare.com/files/907252"], "description"=>"(a) Block schematic of the model (b) Optical flow output by Watson Ahumada motion detector (c) Model response at various other stages in the pipeline.", "links"=>[], "tags"=>["schematic", "optical", "watson", "ahumada", "detector", "stages"], "article_id"=>577708, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_a_Block_schematic_of_the_model_b_Optical_flow_output_by_Watson_Ahumada_motion_detector_c_Model_response_at_various_other_stages_in_the_pipeline_/577708", "title"=>"(a) Block schematic of the model (b) Optical flow output by Watson Ahumada motion detector (c) Model response at various other stages in the pipeline.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:08:28"}
{"files"=>["https://ndownloader.figshare.com/files/908266"], "description"=>"Default values and range of various parameters used in experiments.", "links"=>[], "tags"=>["parameters"], "article_id"=>578733, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Default_values_and_range_of_various_parameters_used_in_experiments_/578733", "title"=>"Default values and range of various parameters used in experiments.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-02-19 02:25:33"}
{"files"=>["https://ndownloader.figshare.com/files/907618"], "description"=>"c = 0.4, fd = 30 ms, ic = 7°.", "links"=>[], "tags"=>["hop", "observers"], "article_id"=>578077, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g008", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_a_967_vs_hop_size_h_for_human_observers_b_967_vs_hop_size_for_model_/578077", "title"=>"(a) χ vs. hop size h for human observers (b) χ vs. hop size for model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:14:37"}
{"files"=>["https://ndownloader.figshare.com/files/907190"], "description"=>"χ is the maximum value of the normalized cross correlation function and τ is the time delay at which χ occurs.", "links"=>[], "tags"=>["dotted", "generated", "reported"], "article_id"=>577648, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_dotted_curve_is_the_motion_generated_by_the_computer_and_the_solid_curve_is_the_motion_reported_by_the_observer_/577648", "title"=>"The dotted curve is the motion generated by the computer, and the solid curve is the motion reported by the observer.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:07:28"}
{"files"=>["https://ndownloader.figshare.com/files/907383"], "description"=>"The pdf of ln(IFI) given by the model is also shown.", "links"=>[], "tags"=>["histogram", "inter", "normalised", "gaussian"], "article_id"=>577841, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_a_histogram_of_Inter_Flip_Interval_IFI_at_c_8202_8202_0_mode_8776_2_s_b_normalised_histogram_of_ln_IFI_together_with_a_Gaussian_fit_/577841", "title"=>"(a) histogram of Inter Flip Interval (IFI) at c = 0 (mode≈2 s) (b) normalised histogram of ln(IFI) together with a Gaussian fit.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:10:41"}
{"files"=>["https://ndownloader.figshare.com/files/907894"], "description"=>"Type1 – a single 90° sector is visible. Type 2 - two sectors located diametrically opposite to each other, and each 45° in size, are visible. Both curves are for the model.", "links"=>[], "tags"=>["rotary", "computed", "annulus"], "article_id"=>578354, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g013", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_center_relative_to_which_rotary_motion_is_computed_a_full_360_176_annulus_is_visible_b_only_90_176_of_annulus_is_visible_/578354", "title"=>"χ vs. center relative to which rotary motion is computed (a) full 360° annulus is visible (b) only 90° of annulus is visible.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:19:14"}
{"files"=>["https://ndownloader.figshare.com/files/908147"], "description"=>"Dipole spacing = 6′, c = 0.5, dd = 2.5 dots/degrees2, RC ON, (a) human observers (b) Watson Ahumada model with simulations at 256×256 pixel resolution.", "links"=>[], "tags"=>["bwir"], "article_id"=>578613, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g017", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_bwir_black_to_white_intensity_ratio_/578613", "title"=>"χ vs. bwir (black to white intensity ratio).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:23:33"}
{"files"=>["https://ndownloader.figshare.com/files/908217"], "description"=>"Default values of model parameters used in simulations.", "links"=>[], "tags"=>["parameters"], "article_id"=>578673, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Default_values_of_model_parameters_used_in_simulations_/578673", "title"=>"Default values of model parameters used in simulations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-02-19 02:24:33"}
{"files"=>["https://ndownloader.figshare.com/files/907517"], "description"=>"c = 0.1, ic = 7°, dd = 5 dots/degrees2.", "links"=>[], "tags"=>["duration"], "article_id"=>577978, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g006", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_frame_duration_fd_/577978", "title"=>"χ vs. frame duration fd.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:12:58"}
{"files"=>["https://ndownloader.figshare.com/files/907711"], "description"=>"Angle subtended by outer circle diameter is fixed at 10°. c = 0.1, dd = 5 dots/degrees2, fd = 30 ms. Model simulations at 256×256 pixel resolution. f0 denotes center frequency of Watson Ahumada sensors.", "links"=>[], "tags"=>["subtended", "diameter"], "article_id"=>578173, "categories"=>["Neuroscience", "Information And Computing Sciences", "Medicine"], "users"=>["Siddharth Jain"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004536.g009", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_967_vs_angle_subtended_by_inner_circle_diameter_ic_/578173", "title"=>"χ vs. angle subtended by inner circle diameter ic.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-02-19 02:16:13"}

PMC Usage Stats 51717 Nov 14:10 UTC

PMC Usage Stats | Further Information

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Relative Metric 156944910 May 16:17 UTC

Relative Metric

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F1000Prime12 Dec 12:29 UTC

F1000Prime

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