A Functional Architecture of Optic Flow in the Inferior Parietal Lobule of the Behaving Monkey
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Mendeley | Further Information

{"title"=>"A functional architecture of optic flow in the inferior parietal lobule of the behaving monkey", "type"=>"journal", "authors"=>[{"first_name"=>"Milena", "last_name"=>"Raffi", "scopus_author_id"=>"6603459027"}, {"first_name"=>"Ralph M.", "last_name"=>"Siegel", "scopus_author_id"=>"7401836141"}], "year"=>2007, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203 (Electronic)", "pmid"=>"17285147", "doi"=>"10.1371/journal.pone.0000200", "pui"=>"352606025", "issn"=>"19326203", "sgr"=>"53949119902", "scopus"=>"2-s2.0-53949119902"}, "id"=>"0680156c-a0cd-3765-a942-d2850365757e", "abstract"=>"The representation of navigational optic flow across the inferior parietal lobule was assessed using optical imaging of intrinsic signals in behaving monkeys. The exposed cortex, corresponding to the dorsal-most portion of areas 7a and dorsal prelunate (DP), was imaged in two hemispheres of two rhesus monkeys. The monkeys actively attended to changes in motion stimuli while fixating. Radial expansion and contraction, and rotation clockwise and counter-clockwise optic flow stimuli were presented concentric to the fixation point at two angles of gaze to assess the interrelationship between the eye position and optic flow signal. The cortical response depended upon the type of flow and was modulated by eye position. The optic flow selectivity was embedded in a patchy architecture within the gain field architecture. All four optic flow stimuli tested were represented in areas 7a and DP. The location of the patches varied across days. However the spatial periodicity of the patches remained constant across days at approximately 950 and 1100 microm for the two animals examined. These optical recordings agree with previous electrophysiological studies of area 7a, and provide new evidence for flow selectivity in DP and a fine scale description of its cortical topography. That the functional architectures for optic flow can change over time was unexpected. These and earlier results also from inferior parietal lobule support the inclusion of both static and dynamic functional architectures that define association cortical areas and ultimately support complex cognitive function.", "link"=>"http://www.mendeley.com/research/functional-architecture-optic-flow-inferior-parietal-lobule-behaving-monkey", "reader_count"=>37, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>14, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Lecturer"=>3, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>14, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Lecturer"=>3, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Agricultural and Biological Sciences"=>17, "Neuroscience"=>7, "Sports and Recreations"=>1, "Psychology"=>9}, "reader_count_by_subdiscipline"=>{"Neuroscience"=>{"Neuroscience"=>7}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>9}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>17}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"China"=>1, "Italy"=>1, "France"=>3, "Portugal"=>1}, "group_count"=>5}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/953246"], "description"=>"<p>Different wavelength images of cortex. A. Image of the exposed cortex taken with a 540 nm filter (green light) which shows the angioarchitectonic of areas 7a and DP of the left hemisphere of the second monkey (M2L). B. Image of the exposed cortex taken with a 605 nm filter (orange light) during the recording session; the focus is 500 µm below the surface capillaries. The inset of panel B indicates the location of the imaged region for M2L. Note there is an extra unnamed sulcus medial to the STS. Horizontal bars: 1 mm. Data set: M2L 09-24-2002. STS: superior temporal sulcus, IPS: intraparietal sulcus, LS: lunate sulcus, M: medial, A: anterior.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>623554, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_1_/623554", "title"=>"Figure 1", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:50:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/953344"], "description"=>"<p>Behavioral protocol. A. Stimuli. Optic flow patterns were made by 128 moving dots with an average speed of 6°/sec. B. Temporal sequence of the behavioral task. At the onset of the fixation point (a) the monkey has to pull a lever (d). After two seconds the optic flow stimulus appears (b) and remains displayed for at least four seconds, after which, at a random time, the optic flow stimulus changes its motion from structured to unstructured (c). The monkey had to release the lever within a maximum reaction time of 650 msec (d). The two filled epochs indicate the temporal windows used in the analysis. The baseline image is acquired during the simple fixation, i.e. all frames collected between −1000 and 0 msec are averaged together; the stimulus image is acquired between 2000 and 3000 msec. RT: reaction time. The thick circle represents an exemplar stimulus position, while the dashed circle represents a potential stimulus position.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>623652, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_2_/623652", "title"=>"Figure 2", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:51:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/953437"], "description"=>"<p>Behavioral performance in the optic flow task. A. Behavioral results from a single experiment of M2L. The reaction time is plotted as a function of the type of optic flow. Certain flows yielded shorter reaction times than others. Data are shown as upper fixation +SE, lower fixation −SE. Data set: 11-18-2002. B. Results for the ANOVA in all experiments of M1R and M2L. OF: optic flow; Exp: expansion; Contr: contraction; CW: clockwise; CCW: counter-clockwise. EP: eye position. C. Regression coefficients for both monkeys. The small arrow indicates the data from panel A. SE for each animal is indicated by the thicker line along the circumference. The mean direction for each animal is indicated by the vector arrows. The length of each arrow has no meaning. D. Average reaction times (RT)+SD for all experiments of both monkeys. FIX: fixation.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>623742, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_3_/623742", "title"=>"Figure 3", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:52:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/953622"], "description"=>"<p>Single condition map for each optic flow stimulus at different eye positions in the right hemisphere of M1R. The baseline normalization analysis images from all correct trials in each condition were averaged together providing eight maps (4 optic flow stimuli by 2 eye positions). The average images were multiplied by “−1” to produce images whose brightness indicates expected neuronal activity. The grey scale at the bottom provides the amplitudes. The average of all maps was subtracted from each image. A. Clockwise (CW) during upward fixation. B. CW during downward fixation. C. Counter-clockwise (CCW) during upward fixation. D. CCW during downward fixation. E. Expansion (Exp) during upward fixation. F. Exp during downward fixation. G. Contraction (Contr) during upward fixation. H. Contr during downward fixation. The black lines indicate the putative border between 7a and DP. Horizontal bars: 1 mm. Data set: M1R 12-05-2001.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>623927, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_4_/623927", "title"=>"Figure 4", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:53:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/953778"], "description"=>"<p>Subtraction analysis for representation of optic flow in the right hemisphere of M1R. All correct trials in each condition have been averaged together providing eight maps (4 flows by 2 eye positions). To determine the optic flow selectivity for each of the eye positions, planned comparisons were made for each opposing type of optic flow. The subtractions were performed on the images of <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g004\" target=\"_blank\">Fig. 4</a>. A. The average of clockwise (CW) has been subtracted from the average of counter-clockwise (CCW) for fixation in the upper part of the visual field B. Same comparison for fixation in the lower part of the visual field. C. The average of images taken during expansion (Exp) has been subtracted from the average of contraction (Contr) for fixation in the upper part of the visual field. D. Same comparison for fixation in the lower part of the visual field. E. The average of CW during upward fixations has been subtracted from the average of CW during downward fixations. F. Same comparison for Exp motion. Grey scale indicates the percentage of reflectance of the optical signal; brightness indicates increase in deoxyhemoglobin. Horizontal bar: 1 mm; data: M1R 12-05-2005.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624091, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_5_/624091", "title"=>"Figure 5", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:54:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/953946"], "description"=>"<p>Regression analysis for representation of optic flow in M1R. Same data set as <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g004\" target=\"_blank\">Figs. 4</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g005\" target=\"_blank\">5</a>. Each pixel was fit as a function of each optic flow stimulus and eye position (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#s2\" target=\"_blank\">Methods</a>). The resulting parameters were used to construct six parameter maps. A. Intercept shows the modeled evoked visual response for the eyes at the primary position (0, 0°) and as if there was no optic flow motion. B. Eye position map: vertical slope of the dependence of the optical signal on the eye position. C. Rotation coefficient map: dependence of the optical signal upon the radial component of the optic flow. The rotation optic flow parameter was scaled to an arbitrary value of 10 “rotation units” to represent a motion rate of 6°/sec. D. Radial coefficient map: dependence of the optical signal upon the radial component of the optic flow. The radial parameter was scaled to an arbitrary value of 10 “radial units” to represent a motion rate of 6°/sec. E. Amplitude map, root mean square of the rotational and radial coefficients. F. Angle map. The amplitude of each pixel has been converted in angular coordinates in spiral space <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone.0000200-Graziano1\" target=\"_blank\">[25]</a>. The “spiral space” color coding represents the specific optic flow stimuli that maximally activate each pixel. The grey scale indicates the percentage of increase (bright) or decrease (dark) of the reflectance of the signal with respect to the baseline. Horizontal bar: 1 mm.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624245, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_6_/624245", "title"=>"Figure 6", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:55:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/954092"], "description"=>"<p>Regression analysis for representation of optic flow in the left hemisphere of M2L. A. Eye position map. B. Rotation coefficient map. C. Radial coefficient map. D. Angle map. The recording region is the same as shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g001\" target=\"_blank\">Fig. 1A</a>. The grey scale indicates the percentage of increase (bright) or decrease (dark) of the reflectance of the signal with respect to the baseline. See legend of <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g006\" target=\"_blank\">Fig. 6</a>. Horizontal bar: 1 mm. Data set: M2L 11-19-2002.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624393, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g007"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_7_/624393", "title"=>"Figure 7", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:56:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/954252"], "description"=>"<p>Monte Carlo and Sampled analyses. An analysis sampling the data was performed with and without shuffling the relationship between the measured optical signals and the stimulus conditions <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone.0000200-Raffi2\" target=\"_blank\">[5]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone.0000200-Siegel2\" target=\"_blank\">[14]</a>, also see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#s3\" target=\"_blank\">Results</a>). Fifty percent of the trials were randomly selected and <i>eq. 2</i> was fit to the data yielding the Sampled maps. Half of the data was also reanalyzed with <i>eq. 2</i>, but the relationship between the collected data and the stimulus condition was randomized yielding the “Monte” coefficient maps. This process was repeated 136 times. Averages of the maps were computed (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#s3\" target=\"_blank\">Results</a>). A1,2. Intercept parameter maps. B1,2. Eye position coefficient. C1,2. Rotation coefficient. D1,2. Radial coefficient. E1,2. Composite amplitude and angle map. The amplitude (given as a grey scale) is superimposed on the angle map. The Monte Carlo map magnitude is very small. F. Polar plot of the circular distributions angles taken from the two regions of interest (ROI) of Panel E. The radial amplitude of the distributions is the number of samples out of 136iterations. Conventions for grey scale as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g006\" target=\"_blank\">Fig. 6</a>. Horizontal bars: 1 mm. Data set M1R 12-05-2001.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624557, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g008"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_8_/624557", "title"=>"Figure 8", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:57:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/954342"], "description"=>"<p>Time course of the optical signal. The time courses were averaged in four regions of interest (ROIs), two located in area 7a and two in area DP, of about 0.7×0.7 mm. The time courses were plotted for upward and downward fixations and for each type of optic flow (i.e. radial or rotational). Each ROI has been selected within a patch to show the time course of the signal relatively to a stimulus or a combination of two stimuli. Note that the vertical scale in panel C is different than panels A,B,D. −2000: onset of the fixation point; −1000 to 0: baseline window; 0: onset of the optic flow stimulus; 2000 to 3000: stimulus window. Exp: expansion; Contr: contraction; CW: clockwise; CCW: counter-clockwise. Horizontal bar: 1 mm. Data set: M1R 12-05-2001.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624642, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g009"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_9_/624642", "title"=>"Figure 9", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:58:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/954452"], "description"=>"<p>Reliability of the maps. Two different data sets are shown. A. Angioarchitectonic of area 7a and DP. The images show that the topography of optic flow is not related to the vasculature. B,C. Optical maps recorded two days apart from each other. Central portion: for each experiment a careful alignment between the map and the cortical angioarchitectonic has been made. Black lines on the optical maps indicate the drawing of superimposed blood vessels that is used as a landmark for the region of interest (ROI) selection. The squares indicate the ROIs selected in areas 7a (upper portion) and DP (lower portion). The ROIs are shown enlarged to illustrate the patchy architecture. Panel B is shown reduced so to match the resolution of panel C. Horizontal bars: 1 mm. Data set: M1R 11-27-2001 and 11-29-2001.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624746, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g010"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_10_/624746", "title"=>"Figure 10", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:58:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/954585"], "description"=>"<p>Optic flow distributions for the same data set shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g010\" target=\"_blank\">Fig. 10</a>. A–B. Optical maps. Black lines indicate the putative border between area 7a and DP. Big squares indicate the regions of interest (ROIs) selected in areas 7a and DP for the distribution analysis. C–D. Polar plots showing the optic flow distribution of each ROI. Arrows represent the mean angle: black arrow indicates 7a, white arrow indicates DP. Panel A is shown reduced so to match the resolution of panel B. Horizontal bars: 1 mm.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>624876, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g011"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_11_/624876", "title"=>"Figure 11", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 12:59:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/954732"], "description"=>"<p>Optic flow distributions across days. A–B. Tuning for areas 7a and DP as across experiments. The angular direction indicates the mean angle taken from the distribution of optic flow tuning directions within each region of interest (ψ<i><sub>7a</sub></i>(<i>i</i>),ψ<i><sub>DP</sub></i>(<i>i</i>)). C–D. Angular correlation between the mean angular direction for areas 7a and DP. The text provides the angular correlation coefficients.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>625025, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g012"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_12_/625025", "title"=>"Figure 12", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 13:00:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/954843"], "description"=>"<p>Spatial frequency analysis of parameter maps. A1. Parameter map for rotation coefficient (note that all parameter maps are the same maps shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g006\" target=\"_blank\">Fig. 6</a>). A2. The FFT is computed (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#s2\" target=\"_blank\">Methods</a>) and the logarithm of the power as a function of horizontal and vertical spatial frequency is presented using a color map. The peak at the center is the DC component; there is a rapid fall-off in power as the spatial frequency increases. A3. Normalized spatial frequency dependence of the power for the rotation map. Eighteen cuts were taken through the FFT of A2. The cut taken at 90° is illustrated. For this graph, the data is normalized by the integral of the RMS power under curve. The arrow indicates the peak 0.7 cyc/mm corresponding to a spatial wavelength of 1.42 mm. B1. Parameter map for radial coefficient. B2. FFT of the radial parameter map. B3. Normalized spatial frequency dependence of the power for the radial map. The arrow indicates the peak 1.07 cyc/mm corresponding to a spatial wavelength of 930 µm. C1. Parameter map for eye position coefficient. C2. FFT of the eye position coefficient. C3. Normalized spatial frequency dependence of the power for the eye position map. The arrow indicates the peak 1.31 cyc/mm corresponding to a spatial wavelength of 760 µm. The dotted line in A–C2 represents the section shown in A–C3. Conventions for grey scale as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g006\" target=\"_blank\">Fig. 6</a>. RMS: root mean square.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>625135, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g013"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_13_/625135", "title"=>"Figure 13", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 13:01:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/954919"], "description"=>"<p>Polar plot of the spatial frequency of the peak nearest the DC peak for each angle. All 18 sections were examined in order to obtain the set of peaks consistently close to the central DC peak. A. Rotation and radial component B. Eye position component. In each plot the circle represents the data indicated by the arrows in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000200#pone-0000200-g013\" target=\"_blank\">Fig. 13</a>.</p>", "links"=>[], "tags"=>["neuroscience", "neuroscience/cognitive neuroscience", "neuroscience/sensory systems", "neuroscience/theoretical neuroscience"], "article_id"=>625210, "categories"=>["Neuroscience"], "users"=>["Milena Raffi", "Ralph M. Siegel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000200.g014"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_14_/625210", "title"=>"Figure 14", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 13:02:06"}

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Relative Metric

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