Parametric estimation of spike train statistics View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-09

AUTHORS

Bruno Cessac, Thierry Viéville

ABSTRACT

N/A

PAGES

p165

Journal

TITLE

BMC Neuroscience

ISSUE

Suppl 1

VOLUME

10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2202-10-s1-p165

DOI

http://dx.doi.org/10.1186/1471-2202-10-s1-p165

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038837490


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", 
    "author": [
      {
        "affiliation": {
          "name": [
            "LJAD, U. Of Nice-Sophia, France", 
            "NEUROMATHCOMP, INRIA Sophia-Antipolis M\u00e9diterran\u00e9e, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cessac", 
        "givenName": "Bruno", 
        "id": "sg:person.01074735442.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074735442.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "CORTEX, INRIA-LORIA, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vi\u00e9ville", 
        "givenName": "Thierry", 
        "id": "sg:person.011526357255.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011526357255.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature04701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013920925", 
          "https://doi.org/10.1038/nature04701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013920925", 
          "https://doi.org/10.1038/nature04701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013920925", 
          "https://doi.org/10.1038/nature04701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1023220802597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020092412", 
          "https://doi.org/10.1023/a:1023220802597"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-09", 
    "datePublishedReg": "2009-09-01", 
    "genre": "non_research_article", 
    "id": "sg:pub.10.1186/1471-2202-10-s1-p165", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024257", 
        "issn": [
          "1471-2202"
        ], 
        "name": "BMC Neuroscience", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Parametric estimation of spike train statistics", 
    "pagination": "p165", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b901248f9f6299d4a24fb5881944a70b0f54ab35d668d650c255892dcd3a4282"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2202-10-s1-p165"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038837490"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2202-10-s1-p165", 
      "https://app.dimensions.ai/details/publication/pub.1038837490"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000507.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2202-10-S1-P165"
  }
]
 

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-s1-p165'

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-s1-p165'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2202-10-s1-p165'

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-s1-p165'


 

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

68 TRIPLES      19 PREDICATES      26 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2202-10-s1-p165 schema:author N9b572c6514704bd9b2f47dcd1241121f
2 schema:citation sg:pub.10.1023/a:1023220802597
3 sg:pub.10.1038/nature04701
4 schema:datePublished 2009-09
5 schema:datePublishedReg 2009-09-01
6 schema:genre non_research_article
7 schema:inLanguage en
8 schema:isAccessibleForFree true
9 schema:isPartOf N85ca7384fb424da394788814db74bf92
10 N8bbb512b2a624be6a8e8fb2157d8e6ac
11 sg:journal.1024257
12 schema:name Parametric estimation of spike train statistics
13 schema:pagination p165
14 schema:productId N365a05f0b53e45559b6e76deee9fde10
15 N62e1d9c509d248438772db34e0f6a0fe
16 N6416dc26385042339321353cb193eecd
17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038837490
18 https://doi.org/10.1186/1471-2202-10-s1-p165
19 schema:sdDatePublished 2019-04-10T19:07
20 schema:sdLicense https://scigraph.springernature.com/explorer/license/
21 schema:sdPublisher N5f4920242dba4646a72688ce4de2b89b
22 schema:url http://link.springer.com/10.1186%2F1471-2202-10-S1-P165
23 sgo:license sg:explorer/license/
24 sgo:sdDataset articles
25 rdf:type schema:ScholarlyArticle
26 N1bc29bbec1ec4e59b863e4faf8b91070 schema:name LJAD, U. Of Nice-Sophia, France
27 NEUROMATHCOMP, INRIA Sophia-Antipolis Méditerranée, France
28 rdf:type schema:Organization
29 N365a05f0b53e45559b6e76deee9fde10 schema:name dimensions_id
30 schema:value pub.1038837490
31 rdf:type schema:PropertyValue
32 N5f4920242dba4646a72688ce4de2b89b schema:name Springer Nature - SN SciGraph project
33 rdf:type schema:Organization
34 N62e1d9c509d248438772db34e0f6a0fe schema:name readcube_id
35 schema:value b901248f9f6299d4a24fb5881944a70b0f54ab35d668d650c255892dcd3a4282
36 rdf:type schema:PropertyValue
37 N6416dc26385042339321353cb193eecd schema:name doi
38 schema:value 10.1186/1471-2202-10-s1-p165
39 rdf:type schema:PropertyValue
40 N7a236e41506149c38a24da487cf990ff schema:name CORTEX, INRIA-LORIA, France
41 rdf:type schema:Organization
42 N85ca7384fb424da394788814db74bf92 schema:issueNumber Suppl 1
43 rdf:type schema:PublicationIssue
44 N8bbb512b2a624be6a8e8fb2157d8e6ac schema:volumeNumber 10
45 rdf:type schema:PublicationVolume
46 N9b572c6514704bd9b2f47dcd1241121f rdf:first sg:person.01074735442.62
47 rdf:rest Ncaab8f7ee4cd426b8dd70c597f45833e
48 Ncaab8f7ee4cd426b8dd70c597f45833e rdf:first sg:person.011526357255.47
49 rdf:rest rdf:nil
50 sg:journal.1024257 schema:issn 1471-2202
51 schema:name BMC Neuroscience
52 rdf:type schema:Periodical
53 sg:person.01074735442.62 schema:affiliation N1bc29bbec1ec4e59b863e4faf8b91070
54 schema:familyName Cessac
55 schema:givenName Bruno
56 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074735442.62
57 rdf:type schema:Person
58 sg:person.011526357255.47 schema:affiliation N7a236e41506149c38a24da487cf990ff
59 schema:familyName Viéville
60 schema:givenName Thierry
61 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011526357255.47
62 rdf:type schema:Person
63 sg:pub.10.1023/a:1023220802597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020092412
64 https://doi.org/10.1023/a:1023220802597
65 rdf:type schema:CreativeWork
66 sg:pub.10.1038/nature04701 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013920925
67 https://doi.org/10.1038/nature04701
68 rdf:type schema:CreativeWork
 




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


...