Ontology type: schema:ScholarlyArticle
1989-03
AUTHORSCharles M. Gray, Peter König, Andreas K. Engel, Wolf Singer
ABSTRACTA FUNDAMENTAL step in visual pattern recognition is the establishment of relations between spatially separate features. Recently, we have shown that neurons in the cat visual cortex have oscillatory responses in the range 40–60 Hz (refs 1,2) which occur in synchrony for cells in a functional column and are tightly correlated with a local oscillatory field potential. This led us to hypothesize that the synchronization of oscillatory responses of spatially distributed, feature selective cells might be a way to establish relations between features in different parts of the visual field2,3. In support of this hypothesis, we demonstrate here that neurons in spatially separate columns can synchronize their oscillatory responses. The synchronization has, on average, no phase difference, depends on the spatial separation and the orientation preference of the cells and is influenced by global stimulus properties. More... »
PAGES334-337
http://scigraph.springernature.com/pub.10.1038/338334a0
DOIhttp://dx.doi.org/10.1038/338334a0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1017767690
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/2922061
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": "Animals",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cats",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Orientation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pattern Recognition, Visual",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Photic Stimulation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Visual Cortex",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Visual Perception",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG",
"id": "http://www.grid.ac/institutes/grid.419505.c",
"name": [
"Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG"
],
"type": "Organization"
},
"familyName": "Gray",
"givenName": "Charles M.",
"id": "sg:person.0614341247.26",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614341247.26"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG",
"id": "http://www.grid.ac/institutes/grid.419505.c",
"name": [
"Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG"
],
"type": "Organization"
},
"familyName": "K\u00f6nig",
"givenName": "Peter",
"id": "sg:person.0772772642.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772772642.38"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG",
"id": "http://www.grid.ac/institutes/grid.419505.c",
"name": [
"Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG"
],
"type": "Organization"
},
"familyName": "Engel",
"givenName": "Andreas K.",
"id": "sg:person.01262630264.32",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262630264.32"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG",
"id": "http://www.grid.ac/institutes/grid.419505.c",
"name": [
"Max-Planck-Institute for Brain Research, Deutschordenstrasse 46, D-6000am Main 71, Frankfurt, FRG"
],
"type": "Organization"
},
"familyName": "Singer",
"givenName": "Wolf",
"id": "sg:person.01324610003.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324610003.38"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf00340492",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013166972",
"https://doi.org/10.1007/bf00340492"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/335815a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035159338",
"https://doi.org/10.1038/335815a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bfb0033868",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040905497",
"https://doi.org/10.1007/bfb0033868"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00248509",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050518984",
"https://doi.org/10.1007/bf00248509"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00337113",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033806149",
"https://doi.org/10.1007/bf00337113"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/290091a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040887630",
"https://doi.org/10.1038/290091a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00235514",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010439029",
"https://doi.org/10.1007/bf00235514"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/280120a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016603796",
"https://doi.org/10.1038/280120a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/306021a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032084801",
"https://doi.org/10.1038/306021a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00236807",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038963489",
"https://doi.org/10.1007/bf00236807"
],
"type": "CreativeWork"
}
],
"datePublished": "1989-03",
"datePublishedReg": "1989-03-01",
"description": "A FUNDAMENTAL step in visual pattern recognition is the establishment of relations between spatially separate features. Recently, we have shown that neurons in the cat visual cortex have oscillatory responses in the range 40\u201360 Hz (refs 1,2) which occur in synchrony for cells in a functional column and are tightly correlated with a local oscillatory field potential. This led us to hypothesize that the synchronization of oscillatory responses of spatially distributed, feature selective cells might be a way to establish relations between features in different parts of the visual field2,3. In support of this hypothesis, we demonstrate here that neurons in spatially separate columns can synchronize their oscillatory responses. The synchronization has, on average, no phase difference, depends on the spatial separation and the orientation preference of the cells and is influenced by global stimulus properties.",
"genre": "article",
"id": "sg:pub.10.1038/338334a0",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0028-0836",
"1476-4687"
],
"name": "Nature",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "6213",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "338"
}
],
"keywords": [
"global stimulus properties",
"cat visual cortex",
"stimulus properties",
"oscillatory field potentials",
"visual cortex",
"functional columns",
"oscillatory responses",
"field potentials",
"selective cells",
"neurons",
"cells",
"orientation preference",
"response",
"cortex",
"differences",
"different parts",
"synchrony",
"features",
"hypothesis",
"visual pattern recognition",
"support",
"relation",
"Hz",
"potential",
"recognition",
"establishment",
"separate features",
"part",
"preferences",
"fundamental step",
"synchronization",
"separate columns",
"column",
"step",
"properties",
"way",
"pattern recognition",
"spatial separation",
"range 40",
"separation",
"phase difference",
"establishment of relations"
],
"name": "Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties",
"pagination": "334-337",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1017767690"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/338334a0"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"2922061"
]
}
],
"sameAs": [
"https://doi.org/10.1038/338334a0",
"https://app.dimensions.ai/details/publication/pub.1017767690"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T09:43",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_189.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/338334a0"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1038/338334a0'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/338334a0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/338334a0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/338334a0'
This table displays all metadata directly associated to this object as RDF triples.
193 TRIPLES
22 PREDICATES
86 URIs
68 LITERALS
14 BLANK NODES