Mathematical models for the swimming pattern of a lamprey View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-11

AUTHORS

Jun Nishii, Yoji Uno, Ryoji Suzuki

ABSTRACT

A significant characteristic in a swimming pattern of a lamprey is the generation of a constant phase lag along its body in spite of the wide range of undulation frequencies. In this paper, we discuss a mathematical treatment for coupled oscillators with time-delayed interaction and propose a model for the central pattern generator (CPG) of a lamprey to account for the generation of a constant phase relation, with consideration of the signal conduction time. From this model, it is suggested that the desired phase relation can be produced by long ascending connections from the tail to the neck region of the CPG. More... »

PAGES

1-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00206233

DOI

http://dx.doi.org/10.1007/bf00206233

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001059562


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Mathematical Engineering & Information Physics, Faculty of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishii", 
        "givenName": "Jun", 
        "id": "sg:person.014371067701.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014371067701.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Advanced Telecommunications Research Institute International", 
          "id": "https://www.grid.ac/institutes/grid.418163.9", 
          "name": [
            "ATR Human Information Processing Research Laboratories, 2-2 Hikaridsi, Seiko-cho, Soraku-gun, 619-02, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uno", 
        "givenName": "Yoji", 
        "id": "sg:person.014533010621.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014533010621.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Mathematical Engineering & Information Physics, Faculty of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Ryoji", 
        "id": "sg:person.013656713222.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013656713222.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00276069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013757531", 
          "https://doi.org/10.1007/bf00276069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00276069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013757531", 
          "https://doi.org/10.1007/bf00276069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-8993(89)90363-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019544799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-8993(89)90363-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019544799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-22492-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026413919", 
          "https://doi.org/10.1007/978-3-662-22492-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-22492-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026413919", 
          "https://doi.org/10.1007/978-3-662-22492-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1113/jphysiol.1984.sp015063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027880762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0896-6273(91)90069-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028657672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00609725", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037363615", 
          "https://doi.org/10.1007/bf00609725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00609725", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037363615", 
          "https://doi.org/10.1007/bf00609725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ne.14.030191.001125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038596840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-247x(78)90120-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043021451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0150009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062840785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0150062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062840838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0515019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062847585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1990.64.3.862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078512873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1989.62.1.59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079317560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1982.47.5.961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1081604926"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1994-11", 
    "datePublishedReg": "1994-11-01", 
    "description": "A significant characteristic in a swimming pattern of a lamprey is the generation of a constant phase lag along its body in spite of the wide range of undulation frequencies. In this paper, we discuss a mathematical treatment for coupled oscillators with time-delayed interaction and propose a model for the central pattern generator (CPG) of a lamprey to account for the generation of a constant phase relation, with consideration of the signal conduction time. From this model, it is suggested that the desired phase relation can be produced by long ascending connections from the tail to the neck region of the CPG.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00206233", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1081741", 
        "issn": [
          "0340-1200", 
          "1432-0770"
        ], 
        "name": "Biological Cybernetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "72"
      }
    ], 
    "name": "Mathematical models for the swimming pattern of a lamprey", 
    "pagination": "1-9", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "050c3ba1c0f2755b4990077f91b3b1676751ae0f2ee362c6a7a8110e50a37a64"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00206233"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001059562"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00206233", 
      "https://app.dimensions.ai/details/publication/pub.1001059562"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:02", 
    "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/v90/0000000371_0000000371/records_130831_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00206233"
  }
]
 

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/bf00206233'

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/bf00206233'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00206233'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00206233'


 

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

123 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00206233 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N116d878b10644c94a3ace0b6ee94dbea
4 schema:citation sg:pub.10.1007/978-3-662-22492-2
5 sg:pub.10.1007/bf00276069
6 sg:pub.10.1007/bf00609725
7 https://doi.org/10.1016/0006-8993(89)90363-6
8 https://doi.org/10.1016/0022-247x(78)90120-8
9 https://doi.org/10.1016/0896-6273(91)90069-c
10 https://doi.org/10.1113/jphysiol.1984.sp015063
11 https://doi.org/10.1137/0150009
12 https://doi.org/10.1137/0150062
13 https://doi.org/10.1137/0515019
14 https://doi.org/10.1146/annurev.ne.14.030191.001125
15 https://doi.org/10.1152/jn.1982.47.5.961
16 https://doi.org/10.1152/jn.1989.62.1.59
17 https://doi.org/10.1152/jn.1990.64.3.862
18 schema:datePublished 1994-11
19 schema:datePublishedReg 1994-11-01
20 schema:description A significant characteristic in a swimming pattern of a lamprey is the generation of a constant phase lag along its body in spite of the wide range of undulation frequencies. In this paper, we discuss a mathematical treatment for coupled oscillators with time-delayed interaction and propose a model for the central pattern generator (CPG) of a lamprey to account for the generation of a constant phase relation, with consideration of the signal conduction time. From this model, it is suggested that the desired phase relation can be produced by long ascending connections from the tail to the neck region of the CPG.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N23b207a30d544f409ab7ae9b4d496f02
25 N495287fc38914ca3a6fa3e603229bd39
26 sg:journal.1081741
27 schema:name Mathematical models for the swimming pattern of a lamprey
28 schema:pagination 1-9
29 schema:productId N2aacffcea82648c19dccb31250e05145
30 Na572cc94390d4a8399c8a91dd7f75191
31 Nd69db95fcdc6447a9254ffdc32f6cb3b
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001059562
33 https://doi.org/10.1007/bf00206233
34 schema:sdDatePublished 2019-04-11T14:02
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N5d9a8f80e64c4614a9a897f90f79879b
37 schema:url http://link.springer.com/10.1007/BF00206233
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N116d878b10644c94a3ace0b6ee94dbea rdf:first sg:person.014371067701.61
42 rdf:rest N5a3e5f18a66e4fa980a0b6b2e8eaa337
43 N23b207a30d544f409ab7ae9b4d496f02 schema:issueNumber 1
44 rdf:type schema:PublicationIssue
45 N2aacffcea82648c19dccb31250e05145 schema:name doi
46 schema:value 10.1007/bf00206233
47 rdf:type schema:PropertyValue
48 N495287fc38914ca3a6fa3e603229bd39 schema:volumeNumber 72
49 rdf:type schema:PublicationVolume
50 N5a3e5f18a66e4fa980a0b6b2e8eaa337 rdf:first sg:person.014533010621.80
51 rdf:rest N94f0e6586523434b95966e49e5b90e1a
52 N5d9a8f80e64c4614a9a897f90f79879b schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 N94f0e6586523434b95966e49e5b90e1a rdf:first sg:person.013656713222.33
55 rdf:rest rdf:nil
56 Na572cc94390d4a8399c8a91dd7f75191 schema:name dimensions_id
57 schema:value pub.1001059562
58 rdf:type schema:PropertyValue
59 Nd69db95fcdc6447a9254ffdc32f6cb3b schema:name readcube_id
60 schema:value 050c3ba1c0f2755b4990077f91b3b1676751ae0f2ee362c6a7a8110e50a37a64
61 rdf:type schema:PropertyValue
62 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
63 schema:name Information and Computing Sciences
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
66 schema:name Artificial Intelligence and Image Processing
67 rdf:type schema:DefinedTerm
68 sg:journal.1081741 schema:issn 0340-1200
69 1432-0770
70 schema:name Biological Cybernetics
71 rdf:type schema:Periodical
72 sg:person.013656713222.33 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
73 schema:familyName Suzuki
74 schema:givenName Ryoji
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013656713222.33
76 rdf:type schema:Person
77 sg:person.014371067701.61 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
78 schema:familyName Nishii
79 schema:givenName Jun
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014371067701.61
81 rdf:type schema:Person
82 sg:person.014533010621.80 schema:affiliation https://www.grid.ac/institutes/grid.418163.9
83 schema:familyName Uno
84 schema:givenName Yoji
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014533010621.80
86 rdf:type schema:Person
87 sg:pub.10.1007/978-3-662-22492-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026413919
88 https://doi.org/10.1007/978-3-662-22492-2
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/bf00276069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013757531
91 https://doi.org/10.1007/bf00276069
92 rdf:type schema:CreativeWork
93 sg:pub.10.1007/bf00609725 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037363615
94 https://doi.org/10.1007/bf00609725
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/0006-8993(89)90363-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019544799
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/0022-247x(78)90120-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043021451
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/0896-6273(91)90069-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1028657672
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1113/jphysiol.1984.sp015063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027880762
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1137/0150009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062840785
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1137/0150062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062840838
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1137/0515019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062847585
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1146/annurev.ne.14.030191.001125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038596840
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1152/jn.1982.47.5.961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1081604926
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1152/jn.1989.62.1.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079317560
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1152/jn.1990.64.3.862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078512873
117 rdf:type schema:CreativeWork
118 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
119 schema:name Department of Mathematical Engineering & Information Physics, Faculty of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113, Tokyo, Japan
120 rdf:type schema:Organization
121 https://www.grid.ac/institutes/grid.418163.9 schema:alternateName Advanced Telecommunications Research Institute International
122 schema:name ATR Human Information Processing Research Laboratories, 2-2 Hikaridsi, Seiko-cho, Soraku-gun, 619-02, Kyoto, Japan
123 rdf:type schema:Organization
 




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


...