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/2008/2211", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "JPY", 
      "type": "MonetaryAmount", 
      "value": "44850000"
    }, 
    "description": "We developed a method to quantify the information flow of the cerebral cortex as the local transfer entropy from the spatial pattern of the electrocorticographic signals with various dimensions. With this approach, we identified repetitions of forward and backward waves in the macaque inferior temporal cortex following visual stimulation with dynamic topological changes. Next we found that spatial patterns of theta-band powers spanning a wide area in the medial temporal lobe can represent associative memory, which is reorganized through associative learning. In the prefrontal cortex, we identified flows of theta-band powers associated with symbolic conversion and construction. Finally, microstructure of surround suppression was revealed with spatiotemporal two-dimensional fast Fourier transformation of visually evoked signals in the rat visual cortex.", 
    "endDate": "2017-03-31T00:00:00Z", 
    "funder": {
      "id": "https://www.grid.ac/institutes/grid.54432.34", 
      "type": "Organization"
    }, 
    "id": "sg:grant.6126959", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "6126959"
        ]
      }, 
      {
        "name": "kaken_id", 
        "type": "PropertyValue", 
        "value": [
          "26242088"
        ]
      }
    ], 
    "inLanguage": [
      "en"
    ], 
    "keywords": [
      "dynamic topological changes", 
      "medial temporal lobe", 
      "visual cortex", 
      "visual communication", 
      "METHODS", 
      "spatial patterns", 
      "approach", 
      "surround suppression", 
      "neural mechanisms", 
      "microstructure", 
      "visual stimulation", 
      "backward waves", 
      "various dimensions", 
      "two-dimensional fast Fourier transformation", 
      "signal", 
      "electrocorticographic signals", 
      "flow", 
      "electrocorticography", 
      "information flow", 
      "associative memory", 
      "cerebral cortex", 
      "prefrontal cortex", 
      "wide area", 
      "associative learning", 
      "local transfer entropy", 
      "rats", 
      "theta-band power", 
      "repetition", 
      "construction", 
      "symbolic conversion", 
      "macaque inferior temporal cortex"
    ], 
    "name": "Neural mechanisms of visual communications revealed with electrocorticography.", 
    "recipient": [
      {
        "id": "https://www.grid.ac/institutes/grid.260975.f", 
        "type": "Organization"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.6126959"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2021-01-19T02:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/kaken_projects_31.xml.gz", 
    "startDate": "2014-04-01T00:00:00Z", 
    "type": "MonetaryGrant", 
    "url": "https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26242088"
  }
]

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

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

65 TRIPLES      19 PREDICATES      51 URIs      44 LITERALS      4 BLANK NODES