Studies on human finger tapping neural networks by phase transition curves View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1979-08

AUTHORS

Jun-ichi Yamanishi, Mitsuo Kawato, Ryoji Suzuki

ABSTRACT

The human finger tapping was studied psychologically by the phase transition curves. We assumed that some oscillatory neural network controls the tapping. One of our future works on the human finger tapping is to devise a method to change the magnitude of perturbation continuously in phase resetting experiments of a constant tapping interval with a same kind of task. If this is achieved, we can obtain a phase transition surface (i.e. the new phase as a function of the old phase and the magnitude of perturbation). From the shape of a phase transition surface, the intrinsic properties of the oscillatory network which controls the tapping can be studied (Kawato et al., 1978). More... »

PAGES

199-208

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00337409

DOI

http://dx.doi.org/10.1007/bf00337409

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013463005

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/497264


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Conditioning (Psychology)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fingers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Learning", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Neurological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Psychological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Motor Activity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Motor Skills", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Movement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nerve Net", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nervous System Physiological Phenomena", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reaction Time", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University, Toyonaka-shi, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamanishi", 
        "givenName": "Jun-ichi", 
        "id": "sg:person.01365554505.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365554505.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University, Toyonaka-shi, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawato", 
        "givenName": "Mitsuo", 
        "id": "sg:person.01230705277.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230705277.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka University", 
          "id": "https://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University, Toyonaka-shi, Osaka, 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": "https://doi.org/10.1037/h0093864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000063093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/h0046490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007630553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03205802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013356130", 
          "https://doi.org/10.3758/bf03205802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00140136608964400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024348419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03198600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026352632", 
          "https://doi.org/10.3758/bf03198600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6918(64)90032-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030606985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6918(64)90032-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030606985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/h0025754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039959755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5193(70)90075-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040944789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00361045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046484356", 
          "https://doi.org/10.1007/bf00361045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00361045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046484356", 
          "https://doi.org/10.1007/bf00361045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3068875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057908487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.145.3627.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062482960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.887919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062658084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1977.40.3.527", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082990477"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1979-08", 
    "datePublishedReg": "1979-08-01", 
    "description": "The human finger tapping was studied psychologically by the phase transition curves. We assumed that some oscillatory neural network controls the tapping. One of our future works on the human finger tapping is to devise a method to change the magnitude of perturbation continuously in phase resetting experiments of a constant tapping interval with a same kind of task. If this is achieved, we can obtain a phase transition surface (i.e. the new phase as a function of the old phase and the magnitude of perturbation). From the shape of a phase transition surface, the intrinsic properties of the oscillatory network which controls the tapping can be studied (Kawato et al., 1978).", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00337409", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1081741", 
        "issn": [
          "0340-1200", 
          "1432-0770"
        ], 
        "name": "Biological Cybernetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "Studies on human finger tapping neural networks by phase transition curves", 
    "pagination": "199-208", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00337409"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "40227f4bff8bf7f3b194525c8490c9d5c2744216f48e75d6518a59259e7f039f"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013463005"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7502533"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "497264"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00337409", 
      "https://app.dimensions.ai/details/publication/pub.1013463005"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:52", 
    "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/v90/0000000374_0000000374/records_119747_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00337409"
  }
]
 

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/bf00337409'

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/bf00337409'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00337409'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00337409'


 

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

173 TRIPLES      21 PREDICATES      54 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00337409 schema:about N57377696d4fa4b1a84684df42a58ae5d
2 N573f07765f964eff8aea60edf3ff2461
3 N6bb6f5bab2bf41429518dc5672368f5c
4 N755d22bba4ae4a9c8bdadd1391235b4c
5 N78fdfccf17f042e692b845c5542a55aa
6 N8dce6755780e4554a329e6b0165adde2
7 Nb2fa140c285c44e3b1090561a73ac3d6
8 Nb521e6db14754711adc2a0b22552ed34
9 Nbb25d8b7f30a47c2b3e3ff344707377b
10 Nd0841c629ebd4855a8934d6655cdfd9c
11 Nd20f22a1fec54ec6ab6ef19398639bbc
12 Ne4eed0f3d4924a21b154364782ee4075
13 anzsrc-for:17
14 anzsrc-for:1701
15 schema:author N9cd79dfbe57340669b99b94fa95dae5c
16 schema:citation sg:pub.10.1007/bf00361045
17 sg:pub.10.3758/bf03198600
18 sg:pub.10.3758/bf03205802
19 https://doi.org/10.1016/0001-6918(64)90032-0
20 https://doi.org/10.1016/0022-5193(70)90075-5
21 https://doi.org/10.1037/h0025754
22 https://doi.org/10.1037/h0046490
23 https://doi.org/10.1037/h0093864
24 https://doi.org/10.1063/1.3068875
25 https://doi.org/10.1080/00140136608964400
26 https://doi.org/10.1126/science.145.3627.61
27 https://doi.org/10.1126/science.887919
28 https://doi.org/10.1152/jn.1977.40.3.527
29 schema:datePublished 1979-08
30 schema:datePublishedReg 1979-08-01
31 schema:description The human finger tapping was studied psychologically by the phase transition curves. We assumed that some oscillatory neural network controls the tapping. One of our future works on the human finger tapping is to devise a method to change the magnitude of perturbation continuously in phase resetting experiments of a constant tapping interval with a same kind of task. If this is achieved, we can obtain a phase transition surface (i.e. the new phase as a function of the old phase and the magnitude of perturbation). From the shape of a phase transition surface, the intrinsic properties of the oscillatory network which controls the tapping can be studied (Kawato et al., 1978).
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N4bb499af1d224211aeccf99be3ec4d50
36 N8dd940ef084b407aa04b0da79806c358
37 sg:journal.1081741
38 schema:name Studies on human finger tapping neural networks by phase transition curves
39 schema:pagination 199-208
40 schema:productId N064ad0cac09a4faa9d707cea11a8227b
41 N44e278d8f8f5449c80b654822a3d3f87
42 Nc337cdf15329417895f1c4874f8291b0
43 Nccdfde1967eb4615af1014e99fe5f5b9
44 Ncd0177d286df47aea5a656ce070787fc
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013463005
46 https://doi.org/10.1007/bf00337409
47 schema:sdDatePublished 2019-04-15T08:52
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N793f10c44e0f4e0aa4b5155861a77c91
50 schema:url http://link.springer.com/10.1007/BF00337409
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N064ad0cac09a4faa9d707cea11a8227b schema:name readcube_id
55 schema:value 40227f4bff8bf7f3b194525c8490c9d5c2744216f48e75d6518a59259e7f039f
56 rdf:type schema:PropertyValue
57 N44e278d8f8f5449c80b654822a3d3f87 schema:name dimensions_id
58 schema:value pub.1013463005
59 rdf:type schema:PropertyValue
60 N4bb499af1d224211aeccf99be3ec4d50 schema:volumeNumber 33
61 rdf:type schema:PublicationVolume
62 N57377696d4fa4b1a84684df42a58ae5d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Models, Neurological
64 rdf:type schema:DefinedTerm
65 N573f07765f964eff8aea60edf3ff2461 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Learning
67 rdf:type schema:DefinedTerm
68 N6bb6f5bab2bf41429518dc5672368f5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Nervous System Physiological Phenomena
70 rdf:type schema:DefinedTerm
71 N755d22bba4ae4a9c8bdadd1391235b4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Humans
73 rdf:type schema:DefinedTerm
74 N78fdfccf17f042e692b845c5542a55aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Models, Psychological
76 rdf:type schema:DefinedTerm
77 N793f10c44e0f4e0aa4b5155861a77c91 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N8dce6755780e4554a329e6b0165adde2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Movement
81 rdf:type schema:DefinedTerm
82 N8dd940ef084b407aa04b0da79806c358 schema:issueNumber 4
83 rdf:type schema:PublicationIssue
84 N9cd79dfbe57340669b99b94fa95dae5c rdf:first sg:person.01365554505.13
85 rdf:rest Nc2431a8299f04a76b1112ac729ec2b57
86 Nb2fa140c285c44e3b1090561a73ac3d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Reaction Time
88 rdf:type schema:DefinedTerm
89 Nb521e6db14754711adc2a0b22552ed34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Nerve Net
91 rdf:type schema:DefinedTerm
92 Nbb25d8b7f30a47c2b3e3ff344707377b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Conditioning (Psychology)
94 rdf:type schema:DefinedTerm
95 Nc2431a8299f04a76b1112ac729ec2b57 rdf:first sg:person.01230705277.42
96 rdf:rest Ne64784312eb748af939ab0ccaf65f630
97 Nc337cdf15329417895f1c4874f8291b0 schema:name pubmed_id
98 schema:value 497264
99 rdf:type schema:PropertyValue
100 Nccdfde1967eb4615af1014e99fe5f5b9 schema:name doi
101 schema:value 10.1007/bf00337409
102 rdf:type schema:PropertyValue
103 Ncd0177d286df47aea5a656ce070787fc schema:name nlm_unique_id
104 schema:value 7502533
105 rdf:type schema:PropertyValue
106 Nd0841c629ebd4855a8934d6655cdfd9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Motor Activity
108 rdf:type schema:DefinedTerm
109 Nd20f22a1fec54ec6ab6ef19398639bbc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Motor Skills
111 rdf:type schema:DefinedTerm
112 Ne4eed0f3d4924a21b154364782ee4075 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Fingers
114 rdf:type schema:DefinedTerm
115 Ne64784312eb748af939ab0ccaf65f630 rdf:first sg:person.013656713222.33
116 rdf:rest rdf:nil
117 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
118 schema:name Psychology and Cognitive Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
121 schema:name Psychology
122 rdf:type schema:DefinedTerm
123 sg:journal.1081741 schema:issn 0340-1200
124 1432-0770
125 schema:name Biological Cybernetics
126 rdf:type schema:Periodical
127 sg:person.01230705277.42 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
128 schema:familyName Kawato
129 schema:givenName Mitsuo
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230705277.42
131 rdf:type schema:Person
132 sg:person.01365554505.13 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
133 schema:familyName Yamanishi
134 schema:givenName Jun-ichi
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365554505.13
136 rdf:type schema:Person
137 sg:person.013656713222.33 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
138 schema:familyName Suzuki
139 schema:givenName Ryoji
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013656713222.33
141 rdf:type schema:Person
142 sg:pub.10.1007/bf00361045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046484356
143 https://doi.org/10.1007/bf00361045
144 rdf:type schema:CreativeWork
145 sg:pub.10.3758/bf03198600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026352632
146 https://doi.org/10.3758/bf03198600
147 rdf:type schema:CreativeWork
148 sg:pub.10.3758/bf03205802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013356130
149 https://doi.org/10.3758/bf03205802
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/0001-6918(64)90032-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030606985
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/0022-5193(70)90075-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040944789
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1037/h0025754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039959755
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1037/h0046490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007630553
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1037/h0093864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000063093
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1063/1.3068875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057908487
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1080/00140136608964400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024348419
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1126/science.145.3627.61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062482960
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1126/science.887919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062658084
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1152/jn.1977.40.3.527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082990477
170 rdf:type schema:CreativeWork
171 https://www.grid.ac/institutes/grid.136593.b schema:alternateName Osaka University
172 schema:name Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University, Toyonaka-shi, Osaka, Japan
173 rdf:type schema:Organization
 




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


...