EEG and MEG Activity Accompanying Spontaneous Reversals of the Necker Cube View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2000

AUTHORS

M. Gaetz , H. Weinberg , K. J. Jantzen , E. Rzempoluck , A. Millbank

ABSTRACT

Synchronous oscillations between assemblies of cortical neurons have been proposed as a functional mechanism for linking or binding sensory information [1],[2]. Synchrony between groups of cells has been reported to occur at inter-electrode distances greater than one centimetre [3], [4]. Edelman’s theory of neuronal group selection (TNGS) proposes that complex synchronous or reentrant activity serves as the basis for processing complex information [5]. Reentry is a process described as temporally continuous parallel interactions between distributed maps along ordered anatomical pathways. Reentry is not feedback, but parallel signalling in the time domain between spatially distributed maps, more similar to a process of dynamically changing correlations between distributed systems. Based on the TNGS three experimental questions were posed: 1) Can distributed cortical patterns present during perceptual reversals of a Necker cube be classified differently using a neuralnetwork ? 2) Does correlated activity increase during perception of Necker cube reversals? 3) Can distributed systems operating synchronously be identified ? More... »

PAGES

757-760

References to SciGraph publications

Book

TITLE

Biomag 96

ISBN

978-1-4612-7066-9
978-1-4612-1260-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4612-1260-7_185

DOI

http://dx.doi.org/10.1007/978-1-4612-1260-7_185

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006050056


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Simon Fraser University", 
          "id": "https://www.grid.ac/institutes/grid.61971.38", 
          "name": [
            "Brain Behaviour Laboratory, School of Kinesiology, Simon Fraser University, Burnaby, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaetz", 
        "givenName": "M.", 
        "id": "sg:person.0613376212.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613376212.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Simon Fraser University", 
          "id": "https://www.grid.ac/institutes/grid.61971.38", 
          "name": [
            "Brain Behaviour Laboratory, School of Kinesiology, Simon Fraser University, Burnaby, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weinberg", 
        "givenName": "H.", 
        "id": "sg:person.01016375443.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016375443.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Simon Fraser University", 
          "id": "https://www.grid.ac/institutes/grid.61971.38", 
          "name": [
            "Brain Behaviour Laboratory, School of Kinesiology, Simon Fraser University, Burnaby, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jantzen", 
        "givenName": "K. J.", 
        "id": "sg:person.0673164442.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673164442.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Simon Fraser University", 
          "id": "https://www.grid.ac/institutes/grid.61971.38", 
          "name": [
            "Brain Behaviour Laboratory, School of Kinesiology, Simon Fraser University, Burnaby, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rzempoluck", 
        "givenName": "E.", 
        "id": "sg:person.0727624612.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727624612.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Simon Fraser University", 
          "id": "https://www.grid.ac/institutes/grid.61971.38", 
          "name": [
            "Brain Behaviour Laboratory, School of Kinesiology, Simon Fraser University, Burnaby, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Millbank", 
        "givenName": "A.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.86.5.1698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003412871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0166-2236(85)90062-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004569936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0166-2236(85)90062-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004569936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/335311a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017820996", 
          "https://doi.org/10.1038/335311a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0896-6273(93)90304-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018773882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3940(94)90432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022443501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3940(94)90432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022443501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00202899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043727259", 
          "https://doi.org/10.1007/bf00202899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00202899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043727259", 
          "https://doi.org/10.1007/bf00202899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(83)90005-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051658344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-4694(83)90005-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051658344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1460-9568.1990.tb00449.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052025660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1460-9568.1990.tb00449.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052025660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/72.97934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061219703"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000", 
    "datePublishedReg": "2000-01-01", 
    "description": "Synchronous oscillations between assemblies of cortical neurons have been proposed as a functional mechanism for linking or binding sensory information [1],[2]. Synchrony between groups of cells has been reported to occur at inter-electrode distances greater than one centimetre [3], [4]. Edelman\u2019s theory of neuronal group selection (TNGS) proposes that complex synchronous or reentrant activity serves as the basis for processing complex information [5]. Reentry is a process described as temporally continuous parallel interactions between distributed maps along ordered anatomical pathways. Reentry is not feedback, but parallel signalling in the time domain between spatially distributed maps, more similar to a process of dynamically changing correlations between distributed systems. Based on the TNGS three experimental questions were posed: 1) Can distributed cortical patterns present during perceptual reversals of a Necker cube be classified differently using a neuralnetwork ? 2) Does correlated activity increase during perception of Necker cube reversals? 3) Can distributed systems operating synchronously be identified ?", 
    "editor": [
      {
        "familyName": "Aine", 
        "givenName": "Cheryl J.", 
        "type": "Person"
      }, 
      {
        "familyName": "Stroink", 
        "givenName": "Gerhard", 
        "type": "Person"
      }, 
      {
        "familyName": "Wood", 
        "givenName": "Charles C.", 
        "type": "Person"
      }, 
      {
        "familyName": "Okada", 
        "givenName": "Yoshio", 
        "type": "Person"
      }, 
      {
        "familyName": "Swithenby", 
        "givenName": "Stephen J.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4612-1260-7_185", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4612-7066-9", 
        "978-1-4612-1260-7"
      ], 
      "name": "Biomag 96", 
      "type": "Book"
    }, 
    "name": "EEG and MEG Activity Accompanying Spontaneous Reversals of the Necker Cube", 
    "pagination": "757-760", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4612-1260-7_185"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1cd1deb0591308bf4eaaf26f6606e2817b7491ab2c62cfa4cc9f5bc793b9afb8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006050056"
        ]
      }
    ], 
    "publisher": {
      "location": "New York, NY", 
      "name": "Springer New York", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4612-1260-7_185", 
      "https://app.dimensions.ai/details/publication/pub.1006050056"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T12:29", 
    "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_8663_00000246.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-1-4612-1260-7_185"
  }
]
 

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.10.1007/978-1-4612-1260-7_185'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4612-1260-7_185'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4612-1260-7_185'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4612-1260-7_185'


 

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

141 TRIPLES      23 PREDICATES      36 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4612-1260-7_185 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author Nba22e0db9534406bb89d32c3b89cd4e6
4 schema:citation sg:pub.10.1007/bf00202899
5 sg:pub.10.1038/335311a0
6 https://doi.org/10.1016/0013-4694(83)90005-6
7 https://doi.org/10.1016/0166-2236(85)90062-1
8 https://doi.org/10.1016/0304-3940(94)90432-4
9 https://doi.org/10.1016/0896-6273(93)90304-a
10 https://doi.org/10.1073/pnas.86.5.1698
11 https://doi.org/10.1109/72.97934
12 https://doi.org/10.1111/j.1460-9568.1990.tb00449.x
13 schema:datePublished 2000
14 schema:datePublishedReg 2000-01-01
15 schema:description Synchronous oscillations between assemblies of cortical neurons have been proposed as a functional mechanism for linking or binding sensory information [1],[2]. Synchrony between groups of cells has been reported to occur at inter-electrode distances greater than one centimetre [3], [4]. Edelman’s theory of neuronal group selection (TNGS) proposes that complex synchronous or reentrant activity serves as the basis for processing complex information [5]. Reentry is a process described as temporally continuous parallel interactions between distributed maps along ordered anatomical pathways. Reentry is not feedback, but parallel signalling in the time domain between spatially distributed maps, more similar to a process of dynamically changing correlations between distributed systems. Based on the TNGS three experimental questions were posed: 1) Can distributed cortical patterns present during perceptual reversals of a Necker cube be classified differently using a neuralnetwork ? 2) Does correlated activity increase during perception of Necker cube reversals? 3) Can distributed systems operating synchronously be identified ?
16 schema:editor N298172ab0a074e2fb367a31c918f61d2
17 schema:genre chapter
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N5449aa9bdbe544f181d8ba8b9d8e9e6b
21 schema:name EEG and MEG Activity Accompanying Spontaneous Reversals of the Necker Cube
22 schema:pagination 757-760
23 schema:productId N15c3ff5b0b8741d582e920f5baff1a94
24 N520b9e64986342cdb3322afd76c77d76
25 Nb60f4ac986854305b3c30bc6dbe0a03d
26 schema:publisher Nb40649b784f6436bae4734554c0f415c
27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006050056
28 https://doi.org/10.1007/978-1-4612-1260-7_185
29 schema:sdDatePublished 2019-04-15T12:29
30 schema:sdLicense https://scigraph.springernature.com/explorer/license/
31 schema:sdPublisher Ne92d2925ee9d4393905299799efba8ae
32 schema:url http://link.springer.com/10.1007/978-1-4612-1260-7_185
33 sgo:license sg:explorer/license/
34 sgo:sdDataset chapters
35 rdf:type schema:Chapter
36 N05a2da89b3124541b8e9787a4d9ad28d schema:familyName Stroink
37 schema:givenName Gerhard
38 rdf:type schema:Person
39 N1289e706cf304bbd814ac08a0bad575b rdf:first sg:person.01016375443.87
40 rdf:rest Nfc4c4e32b666400ea3820346cb2d7b6d
41 N15c3ff5b0b8741d582e920f5baff1a94 schema:name dimensions_id
42 schema:value pub.1006050056
43 rdf:type schema:PropertyValue
44 N19e3639e4c4a4297ab8c49ed6a121273 schema:familyName Swithenby
45 schema:givenName Stephen J.
46 rdf:type schema:Person
47 N298172ab0a074e2fb367a31c918f61d2 rdf:first N4ce708e288f545f5bfcb8f35590bc8fb
48 rdf:rest N78e149a8b05f454ba69e658901d5be36
49 N3969c4fc0c6f459590cdefdb014a2e7c rdf:first N94fb3c2739fe4f20adedeeeafd50cc69
50 rdf:rest Nb133a16cfb4641bf95b7075427dd771f
51 N4ce708e288f545f5bfcb8f35590bc8fb schema:familyName Aine
52 schema:givenName Cheryl J.
53 rdf:type schema:Person
54 N520b9e64986342cdb3322afd76c77d76 schema:name readcube_id
55 schema:value 1cd1deb0591308bf4eaaf26f6606e2817b7491ab2c62cfa4cc9f5bc793b9afb8
56 rdf:type schema:PropertyValue
57 N5449aa9bdbe544f181d8ba8b9d8e9e6b schema:isbn 978-1-4612-1260-7
58 978-1-4612-7066-9
59 schema:name Biomag 96
60 rdf:type schema:Book
61 N6e0dc3361bb143868e56928271082bf6 schema:familyName Wood
62 schema:givenName Charles C.
63 rdf:type schema:Person
64 N78e149a8b05f454ba69e658901d5be36 rdf:first N05a2da89b3124541b8e9787a4d9ad28d
65 rdf:rest N95c821f9e6fb4ca38b9fa6c558a90ef1
66 N9068c60252db466096370b57d9c0e740 rdf:first sg:person.0727624612.82
67 rdf:rest Nd60a56f1061d409da398dee7e1570e8f
68 N94fb3c2739fe4f20adedeeeafd50cc69 schema:familyName Okada
69 schema:givenName Yoshio
70 rdf:type schema:Person
71 N95c821f9e6fb4ca38b9fa6c558a90ef1 rdf:first N6e0dc3361bb143868e56928271082bf6
72 rdf:rest N3969c4fc0c6f459590cdefdb014a2e7c
73 Nb133a16cfb4641bf95b7075427dd771f rdf:first N19e3639e4c4a4297ab8c49ed6a121273
74 rdf:rest rdf:nil
75 Nb40649b784f6436bae4734554c0f415c schema:location New York, NY
76 schema:name Springer New York
77 rdf:type schema:Organisation
78 Nb60f4ac986854305b3c30bc6dbe0a03d schema:name doi
79 schema:value 10.1007/978-1-4612-1260-7_185
80 rdf:type schema:PropertyValue
81 Nb69078c92a014c868e4158a1122530c0 schema:affiliation https://www.grid.ac/institutes/grid.61971.38
82 schema:familyName Millbank
83 schema:givenName A.
84 rdf:type schema:Person
85 Nba22e0db9534406bb89d32c3b89cd4e6 rdf:first sg:person.0613376212.54
86 rdf:rest N1289e706cf304bbd814ac08a0bad575b
87 Nd60a56f1061d409da398dee7e1570e8f rdf:first Nb69078c92a014c868e4158a1122530c0
88 rdf:rest rdf:nil
89 Ne92d2925ee9d4393905299799efba8ae schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 Nfc4c4e32b666400ea3820346cb2d7b6d rdf:first sg:person.0673164442.38
92 rdf:rest N9068c60252db466096370b57d9c0e740
93 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
94 schema:name Medical and Health Sciences
95 rdf:type schema:DefinedTerm
96 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
97 schema:name Neurosciences
98 rdf:type schema:DefinedTerm
99 sg:person.01016375443.87 schema:affiliation https://www.grid.ac/institutes/grid.61971.38
100 schema:familyName Weinberg
101 schema:givenName H.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016375443.87
103 rdf:type schema:Person
104 sg:person.0613376212.54 schema:affiliation https://www.grid.ac/institutes/grid.61971.38
105 schema:familyName Gaetz
106 schema:givenName M.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613376212.54
108 rdf:type schema:Person
109 sg:person.0673164442.38 schema:affiliation https://www.grid.ac/institutes/grid.61971.38
110 schema:familyName Jantzen
111 schema:givenName K. J.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673164442.38
113 rdf:type schema:Person
114 sg:person.0727624612.82 schema:affiliation https://www.grid.ac/institutes/grid.61971.38
115 schema:familyName Rzempoluck
116 schema:givenName E.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727624612.82
118 rdf:type schema:Person
119 sg:pub.10.1007/bf00202899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043727259
120 https://doi.org/10.1007/bf00202899
121 rdf:type schema:CreativeWork
122 sg:pub.10.1038/335311a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017820996
123 https://doi.org/10.1038/335311a0
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/0013-4694(83)90005-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051658344
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/0166-2236(85)90062-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004569936
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/0304-3940(94)90432-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022443501
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/0896-6273(93)90304-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1018773882
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1073/pnas.86.5.1698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003412871
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1109/72.97934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061219703
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1111/j.1460-9568.1990.tb00449.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052025660
138 rdf:type schema:CreativeWork
139 https://www.grid.ac/institutes/grid.61971.38 schema:alternateName Simon Fraser University
140 schema:name Brain Behaviour Laboratory, School of Kinesiology, Simon Fraser University, Burnaby, Canada
141 rdf:type schema:Organization
 




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


...