Coding of shape from shading in area V4 of the macaque monkey View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-11-30

AUTHORS

Fabrice Arcizet, Christophe Jouffrais, Pascal Girard

ABSTRACT

BackgroundThe shading of an object provides an important cue for recognition, especially for determining its 3D shape. However, neuronal mechanisms that allow the recovery of 3D shape from shading are poorly understood. The aim of our study was to determine the neuronal basis of 3D shape from shading coding in area V4 of the awake macaque monkey.ResultsWe recorded the responses of V4 cells to stimuli presented parafoveally while the monkeys fixated a central spot. We used a set of stimuli made of 8 different 3D shapes illuminated from 4 directions (from above, the left, the right and below) and different 2D controls for each stimulus. The results show that V4 neurons present a broad selectivity to 3D shape and illumination direction, but without a preference for a unique illumination direction. However, 3D shape and illumination direction selectivities are correlated suggesting that V4 neurons can use the direction of illumination present in complex patterns of shading present on the surface of objects. In addition, a vast majority of V4 neurons (78%) have statistically different responses to the 3D and 2D versions of the stimuli, while responses to 3D are not systematically stronger than those to 2D controls. However, a hierarchical cluster analysis showed that the different classes of stimuli (3D, 2D controls) are clustered in the V4 cells response space suggesting a coding of 3D stimuli based on the population response. The different illumination directions also tend to be clustered in this space.ConclusionTogether, these results show that area V4 participates, at the population level, in the coding of complex shape from the shading patterns coming from the illumination of the surface of corrugated objects. Hence V4 provides important information for one of the steps of cortical processing of the 3D aspect of objects in natural light environment. More... »

PAGES

140

References to SciGraph publications

  • 1995-01. The perception of 3-D structure from contradictory optical patterns in ATTENTION, PERCEPTION, & PSYCHOPHYSICS
  • 1990-01. A network that learns to recognize three-dimensional objects in NATURE
  • 1998-12. Illumination effects in face recognition in COGNITIVE, AFFECTIVE, & BEHAVIORAL NEUROSCIENCE
  • 2008-06. What we can do and what we cannot do with fMRI in NATURE
  • 2008-05-28. Natural textures classification in area V4 of the macaque monkey in EXPERIMENTAL BRAIN RESEARCH
  • 2002-06-17. Three-dimensional orientation tuning in macaque area V4 in NATURE NEUROSCIENCE
  • 1988-01-01. Perception of shape from shading in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2202-10-140

    DOI

    http://dx.doi.org/10.1186/1471-2202-10-140

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1014078591

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19948014


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Neurosciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Action Potentials", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Analysis of Variance", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cluster Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fixation, Ocular", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Form Perception", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lighting", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Macaca mulatta", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Neurons", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Orientation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Photic Stimulation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Signal Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Visual Cortex", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Neurobiology Bisley's Lab, UCLA, Los Angeles, USA", 
              "id": "http://www.grid.ac/institutes/grid.19006.3e", 
              "name": [
                "Centre de recherche Cerveau et Cognition, Universit\u00e9 de Toulouse UPS, Toulouse, France", 
                "CNRS, CerCo, Toulouse, France", 
                "Department of Neurobiology Bisley's Lab, UCLA, Los Angeles, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Arcizet", 
            "givenName": "Fabrice", 
            "id": "sg:person.01171023150.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171023150.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "IRIT, CNRS, Toulouse, France", 
              "id": "http://www.grid.ac/institutes/grid.454304.2", 
              "name": [
                "Centre de recherche Cerveau et Cognition, Universit\u00e9 de Toulouse UPS, Toulouse, France", 
                "CNRS, CerCo, Toulouse, France", 
                "Universit\u00e9 de Toulouse UPS, IRIT, Toulouse, France", 
                "IRIT, CNRS, Toulouse, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jouffrais", 
            "givenName": "Christophe", 
            "id": "sg:person.01264703731.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264703731.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CNRS, CerCo, Toulouse, France", 
              "id": "http://www.grid.ac/institutes/grid.461864.9", 
              "name": [
                "Centre de recherche Cerveau et Cognition, Universit\u00e9 de Toulouse UPS, Toulouse, France", 
                "CNRS, CerCo, Toulouse, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Girard", 
            "givenName": "Pascal", 
            "id": "sg:person.012661201622.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012661201622.56"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.3758/bf03330623", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085162689", 
              "https://doi.org/10.3758/bf03330623"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/331163a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008478414", 
              "https://doi.org/10.1038/331163a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06976", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019522125", 
              "https://doi.org/10.1038/nature06976"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/343263a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000677865", 
              "https://doi.org/10.1038/343263a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn875", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043418476", 
              "https://doi.org/10.1038/nn875"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.3758/bf03206798", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000207237", 
              "https://doi.org/10.3758/bf03206798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00221-008-1406-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048352804", 
              "https://doi.org/10.1007/s00221-008-1406-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2009-11-30", 
        "datePublishedReg": "2009-11-30", 
        "description": "BackgroundThe shading of an object provides an important cue for recognition, especially for determining its 3D shape. However, neuronal mechanisms that allow the recovery of 3D shape from shading are poorly understood. The aim of our study was to determine the neuronal basis of 3D shape from shading coding in area V4 of the awake macaque monkey.ResultsWe recorded the responses of V4 cells to stimuli presented parafoveally while the monkeys fixated a central spot. We used a set of stimuli made of 8 different 3D shapes illuminated from 4 directions (from above, the left, the right and below) and different 2D controls for each stimulus. The results show that V4 neurons present a broad selectivity to 3D shape and illumination direction, but without a preference for a unique illumination direction. However, 3D shape and illumination direction selectivities are correlated suggesting that V4 neurons can use the direction of illumination present in complex patterns of shading present on the surface of objects. In addition, a vast majority of V4 neurons (78%) have statistically different responses to the 3D and 2D versions of the stimuli, while responses to 3D are not systematically stronger than those to 2D controls. However, a hierarchical cluster analysis showed that the different classes of stimuli (3D, 2D controls) are clustered in the V4 cells response space suggesting a coding of 3D stimuli based on the population response. The different illumination directions also tend to be clustered in this space.ConclusionTogether, these results show that area V4 participates, at the population level, in the coding of complex shape from the shading patterns coming from the illumination of the surface of corrugated objects. Hence V4 provides important information for one of the steps of cortical processing of the 3D aspect of objects in natural light environment.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/1471-2202-10-140", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1024257", 
            "issn": [
              "1471-2202"
            ], 
            "name": "BMC Neuroscience", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "keywords": [
          "area V4", 
          "V4 neurons", 
          "macaque monkeys", 
          "awake macaque monkeys", 
          "neuronal mechanisms", 
          "cortical processing", 
          "direction selectivity", 
          "neuronal basis", 
          "neurons", 
          "monkeys", 
          "stimuli", 
          "population level", 
          "response", 
          "vast majority", 
          "V4 cells", 
          "ResultsWe", 
          "ConclusionTogether", 
          "control", 
          "different responses", 
          "cells", 
          "population responses", 
          "important information", 
          "aim", 
          "majority", 
          "V4", 
          "hierarchical cluster analysis", 
          "set of stimuli", 
          "patterns", 
          "levels", 
          "recovery", 
          "study", 
          "complex patterns", 
          "different classes", 
          "results", 
          "mechanism", 
          "central spot", 
          "addition", 
          "important cue", 
          "cues", 
          "cluster analysis", 
          "present", 
          "analysis", 
          "recognition", 
          "broad selectivity", 
          "aspects", 
          "preferences", 
          "information", 
          "basis", 
          "spots", 
          "coding", 
          "selectivity", 
          "version", 
          "direction", 
          "class", 
          "step", 
          "processing", 
          "surface", 
          "shape", 
          "response space", 
          "space", 
          "environment", 
          "illumination", 
          "different 3D shapes", 
          "set", 
          "surface of objects", 
          "objects", 
          "direction of illumination", 
          "light environment", 
          "natural light environment", 
          "complex shapes", 
          "shading", 
          "illumination direction", 
          "different illumination directions"
        ], 
        "name": "Coding of shape from shading in area V4 of the macaque monkey", 
        "pagination": "140", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1014078591"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2202-10-140"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19948014"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2202-10-140", 
          "https://app.dimensions.ai/details/publication/pub.1014078591"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-06-01T22:06", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_480.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/1471-2202-10-140"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-10-140'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-10-140'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-10-140'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-10-140'


     

    This table displays all metadata directly associated to this object as RDF triples.

    248 TRIPLES      22 PREDICATES      121 URIs      106 LITERALS      22 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2202-10-140 schema:about N0fc689c8a0ad441b8a112e5dcaf67747
    2 N1a09b056144942499ebb45b6c18ebb8b
    3 N296a77a62868482caa1542453e21cca8
    4 N2e587c220047447bbde947698a7cf0e0
    5 N390fa2a1dff94d28936cd5f888b8d79d
    6 N3a5a44c8de0340a78b388a9b5c969c9c
    7 N5517af262b704f188dc2f522459ff55e
    8 N776a2bb9cfda4e9ba4a65eee5bc2c021
    9 N808c32912a2f4c3b9ef14250217777f9
    10 N822996d227a54826b4f8f1a351de92af
    11 N9998ce14184241638cb6ecea148034e4
    12 N9fdf8566ecd84900b05711bdb9f7d98e
    13 Nb51643c0f85a47fa95c1d57e0b2705c3
    14 Nbd0785a2d58647fa9306777b15fd2dc4
    15 Neffa741efd8b4125a1e0be0680a36967
    16 anzsrc-for:11
    17 anzsrc-for:1109
    18 schema:author Nfdd4b3b8420a4173a516e2ae6b4d3611
    19 schema:citation sg:pub.10.1007/s00221-008-1406-9
    20 sg:pub.10.1038/331163a0
    21 sg:pub.10.1038/343263a0
    22 sg:pub.10.1038/nature06976
    23 sg:pub.10.1038/nn875
    24 sg:pub.10.3758/bf03206798
    25 sg:pub.10.3758/bf03330623
    26 schema:datePublished 2009-11-30
    27 schema:datePublishedReg 2009-11-30
    28 schema:description BackgroundThe shading of an object provides an important cue for recognition, especially for determining its 3D shape. However, neuronal mechanisms that allow the recovery of 3D shape from shading are poorly understood. The aim of our study was to determine the neuronal basis of 3D shape from shading coding in area V4 of the awake macaque monkey.ResultsWe recorded the responses of V4 cells to stimuli presented parafoveally while the monkeys fixated a central spot. We used a set of stimuli made of 8 different 3D shapes illuminated from 4 directions (from above, the left, the right and below) and different 2D controls for each stimulus. The results show that V4 neurons present a broad selectivity to 3D shape and illumination direction, but without a preference for a unique illumination direction. However, 3D shape and illumination direction selectivities are correlated suggesting that V4 neurons can use the direction of illumination present in complex patterns of shading present on the surface of objects. In addition, a vast majority of V4 neurons (78%) have statistically different responses to the 3D and 2D versions of the stimuli, while responses to 3D are not systematically stronger than those to 2D controls. However, a hierarchical cluster analysis showed that the different classes of stimuli (3D, 2D controls) are clustered in the V4 cells response space suggesting a coding of 3D stimuli based on the population response. The different illumination directions also tend to be clustered in this space.ConclusionTogether, these results show that area V4 participates, at the population level, in the coding of complex shape from the shading patterns coming from the illumination of the surface of corrugated objects. Hence V4 provides important information for one of the steps of cortical processing of the 3D aspect of objects in natural light environment.
    29 schema:genre article
    30 schema:inLanguage en
    31 schema:isAccessibleForFree true
    32 schema:isPartOf Nc10637803c324c99a671669c0767f489
    33 Ne3de2e1a25ae40bcb2df7ac120c2a3e4
    34 sg:journal.1024257
    35 schema:keywords ConclusionTogether
    36 ResultsWe
    37 V4
    38 V4 cells
    39 V4 neurons
    40 addition
    41 aim
    42 analysis
    43 area V4
    44 aspects
    45 awake macaque monkeys
    46 basis
    47 broad selectivity
    48 cells
    49 central spot
    50 class
    51 cluster analysis
    52 coding
    53 complex patterns
    54 complex shapes
    55 control
    56 cortical processing
    57 cues
    58 different 3D shapes
    59 different classes
    60 different illumination directions
    61 different responses
    62 direction
    63 direction of illumination
    64 direction selectivity
    65 environment
    66 hierarchical cluster analysis
    67 illumination
    68 illumination direction
    69 important cue
    70 important information
    71 information
    72 levels
    73 light environment
    74 macaque monkeys
    75 majority
    76 mechanism
    77 monkeys
    78 natural light environment
    79 neuronal basis
    80 neuronal mechanisms
    81 neurons
    82 objects
    83 patterns
    84 population level
    85 population responses
    86 preferences
    87 present
    88 processing
    89 recognition
    90 recovery
    91 response
    92 response space
    93 results
    94 selectivity
    95 set
    96 set of stimuli
    97 shading
    98 shape
    99 space
    100 spots
    101 step
    102 stimuli
    103 study
    104 surface
    105 surface of objects
    106 vast majority
    107 version
    108 schema:name Coding of shape from shading in area V4 of the macaque monkey
    109 schema:pagination 140
    110 schema:productId N204694d824d548d8b7259022828f695e
    111 Nd8c96f5b9ce84d5bb85bb13bff896924
    112 Ndf4fc84596ce411188d6f1b8d60b79a5
    113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014078591
    114 https://doi.org/10.1186/1471-2202-10-140
    115 schema:sdDatePublished 2022-06-01T22:06
    116 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    117 schema:sdPublisher N59e949ca39dc4d93be21deb95e5d0468
    118 schema:url https://doi.org/10.1186/1471-2202-10-140
    119 sgo:license sg:explorer/license/
    120 sgo:sdDataset articles
    121 rdf:type schema:ScholarlyArticle
    122 N0fc689c8a0ad441b8a112e5dcaf67747 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Action Potentials
    124 rdf:type schema:DefinedTerm
    125 N1a09b056144942499ebb45b6c18ebb8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Fixation, Ocular
    127 rdf:type schema:DefinedTerm
    128 N204694d824d548d8b7259022828f695e schema:name dimensions_id
    129 schema:value pub.1014078591
    130 rdf:type schema:PropertyValue
    131 N296a77a62868482caa1542453e21cca8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Analysis of Variance
    133 rdf:type schema:DefinedTerm
    134 N2e587c220047447bbde947698a7cf0e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Orientation
    136 rdf:type schema:DefinedTerm
    137 N390fa2a1dff94d28936cd5f888b8d79d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    138 schema:name Form Perception
    139 rdf:type schema:DefinedTerm
    140 N3a5a44c8de0340a78b388a9b5c969c9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Lighting
    142 rdf:type schema:DefinedTerm
    143 N5517af262b704f188dc2f522459ff55e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Neurons
    145 rdf:type schema:DefinedTerm
    146 N59e949ca39dc4d93be21deb95e5d0468 schema:name Springer Nature - SN SciGraph project
    147 rdf:type schema:Organization
    148 N776a2bb9cfda4e9ba4a65eee5bc2c021 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Signal Processing, Computer-Assisted
    150 rdf:type schema:DefinedTerm
    151 N808c32912a2f4c3b9ef14250217777f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Cluster Analysis
    153 rdf:type schema:DefinedTerm
    154 N822996d227a54826b4f8f1a351de92af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Macaca mulatta
    156 rdf:type schema:DefinedTerm
    157 N9804067bb51b4c5296089f9a728ddd8f rdf:first sg:person.01264703731.37
    158 rdf:rest Nfd781174553a4a42adcc1228da3e8566
    159 N9998ce14184241638cb6ecea148034e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Female
    161 rdf:type schema:DefinedTerm
    162 N9fdf8566ecd84900b05711bdb9f7d98e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Animals
    164 rdf:type schema:DefinedTerm
    165 Nb51643c0f85a47fa95c1d57e0b2705c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    166 schema:name Photic Stimulation
    167 rdf:type schema:DefinedTerm
    168 Nbd0785a2d58647fa9306777b15fd2dc4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Visual Cortex
    170 rdf:type schema:DefinedTerm
    171 Nc10637803c324c99a671669c0767f489 schema:issueNumber 1
    172 rdf:type schema:PublicationIssue
    173 Nd8c96f5b9ce84d5bb85bb13bff896924 schema:name doi
    174 schema:value 10.1186/1471-2202-10-140
    175 rdf:type schema:PropertyValue
    176 Ndf4fc84596ce411188d6f1b8d60b79a5 schema:name pubmed_id
    177 schema:value 19948014
    178 rdf:type schema:PropertyValue
    179 Ne3de2e1a25ae40bcb2df7ac120c2a3e4 schema:volumeNumber 10
    180 rdf:type schema:PublicationVolume
    181 Neffa741efd8b4125a1e0be0680a36967 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Male
    183 rdf:type schema:DefinedTerm
    184 Nfd781174553a4a42adcc1228da3e8566 rdf:first sg:person.012661201622.56
    185 rdf:rest rdf:nil
    186 Nfdd4b3b8420a4173a516e2ae6b4d3611 rdf:first sg:person.01171023150.57
    187 rdf:rest N9804067bb51b4c5296089f9a728ddd8f
    188 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    189 schema:name Medical and Health Sciences
    190 rdf:type schema:DefinedTerm
    191 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
    192 schema:name Neurosciences
    193 rdf:type schema:DefinedTerm
    194 sg:journal.1024257 schema:issn 1471-2202
    195 schema:name BMC Neuroscience
    196 schema:publisher Springer Nature
    197 rdf:type schema:Periodical
    198 sg:person.01171023150.57 schema:affiliation grid-institutes:grid.19006.3e
    199 schema:familyName Arcizet
    200 schema:givenName Fabrice
    201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171023150.57
    202 rdf:type schema:Person
    203 sg:person.01264703731.37 schema:affiliation grid-institutes:grid.454304.2
    204 schema:familyName Jouffrais
    205 schema:givenName Christophe
    206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264703731.37
    207 rdf:type schema:Person
    208 sg:person.012661201622.56 schema:affiliation grid-institutes:grid.461864.9
    209 schema:familyName Girard
    210 schema:givenName Pascal
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012661201622.56
    212 rdf:type schema:Person
    213 sg:pub.10.1007/s00221-008-1406-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048352804
    214 https://doi.org/10.1007/s00221-008-1406-9
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1038/331163a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008478414
    217 https://doi.org/10.1038/331163a0
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/343263a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000677865
    220 https://doi.org/10.1038/343263a0
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1038/nature06976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019522125
    223 https://doi.org/10.1038/nature06976
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/nn875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043418476
    226 https://doi.org/10.1038/nn875
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.3758/bf03206798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000207237
    229 https://doi.org/10.3758/bf03206798
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.3758/bf03330623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085162689
    232 https://doi.org/10.3758/bf03330623
    233 rdf:type schema:CreativeWork
    234 grid-institutes:grid.19006.3e schema:alternateName Department of Neurobiology Bisley's Lab, UCLA, Los Angeles, USA
    235 schema:name CNRS, CerCo, Toulouse, France
    236 Centre de recherche Cerveau et Cognition, Université de Toulouse UPS, Toulouse, France
    237 Department of Neurobiology Bisley's Lab, UCLA, Los Angeles, USA
    238 rdf:type schema:Organization
    239 grid-institutes:grid.454304.2 schema:alternateName IRIT, CNRS, Toulouse, France
    240 schema:name CNRS, CerCo, Toulouse, France
    241 Centre de recherche Cerveau et Cognition, Université de Toulouse UPS, Toulouse, France
    242 IRIT, CNRS, Toulouse, France
    243 Université de Toulouse UPS, IRIT, Toulouse, France
    244 rdf:type schema:Organization
    245 grid-institutes:grid.461864.9 schema:alternateName CNRS, CerCo, Toulouse, France
    246 schema:name CNRS, CerCo, Toulouse, France
    247 Centre de recherche Cerveau et Cognition, Université de Toulouse UPS, Toulouse, France
    248 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...