Extracellular GABA assisting in organizing dynamic cell assemblies to shorten reaction time to sensory stimulation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-12

AUTHORS

Ryuta Sakamoto, Rikiya Kameno, Taira Kobayashi, Asahi Ishiyama, Kazuo Watanabe, Osamu Hoshino

ABSTRACT

Until recently, glia, which exceeds the number of neurons, was considered to only have supportive roles in the central nervous system, providing homeostatic controls and metabolic supports. However, recent studies suggest that glia interacts with neurons and plays active roles in information processing within neuronal circuits. To elucidate how glia contributes to neuronal information processing, we simulated a sensory neuron-glia (neuron-astrocyte) network model. It was investigated in association with ambient (extracellular) GABA level, because the astrocyte has a major role in removing extracellular GABA molecules. In the network model, transporters, embedded in plasma membranes of astrocytes, modulated local ambient GABA levels by actively removing extracellular GABA molecules which persistently acted on receptors in membranes outside synapses and provided pyramidal cells with inhibitory currents. Gap-junction coupling between astrocytes mediated a concordant decrease in local ambient GABA levels, which solicited a prompt population response of pyramidal cells (i.e., activation of an ensemble of pyramidal cells) to a sensory stimulus. As a consequence, the reaction time of a motor network, to which axons of pyramidal cells of the sensory network project, to the sensory stimulus was shortened. We suggest that the astrocytic gap-junction coupling may assist in organizing dynamic cell assemblies by coordinating a reduction in local ambient GABA levels, thereby shortening reaction time to sensory stimulation. More... »

PAGES

1-15

Journal

TITLE

Biological Cybernetics

ISSUE

N/A

VOLUME

N/A

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00422-019-00793-x

DOI

http://dx.doi.org/10.1007/s00422-019-00793-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112064117

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30746602


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": "Ibaraki University", 
          "id": "https://www.grid.ac/institutes/grid.410773.6", 
          "name": [
            "Department of Intelligent Systems Engineering, Ibaraki University, 4-12-1 Nakanarusawa, 316-8511, Hitachi, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakamoto", 
        "givenName": "Ryuta", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, 963-8563, Koriyama, Fukushima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kameno", 
        "givenName": "Rikiya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ibaraki University", 
          "id": "https://www.grid.ac/institutes/grid.410773.6", 
          "name": [
            "Department of Intelligent Systems Engineering, Ibaraki University, 4-12-1 Nakanarusawa, 316-8511, Hitachi, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Taira", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Production Engineering HQ, TDK Corporation, 151, Aza-Maeda, Hirasawa, 018-0402, Nikaho-shi, Akita, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishiyama", 
        "givenName": "Asahi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, 963-8563, Koriyama, Fukushima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Kazuo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ibaraki University", 
          "id": "https://www.grid.ac/institutes/grid.410773.6", 
          "name": [
            "Department of Intelligent Systems Engineering, Ibaraki University, 4-12-1 Nakanarusawa, 316-8511, Hitachi, Ibaraki, Japan", 
            "Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, 963-8563, Koriyama, Fukushima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoshino", 
        "givenName": "Osamu", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.neuron.2007.10.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003329431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/neco.2009.05-08-778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005352414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1520759113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006104881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conb.2013.12.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006403323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.00317.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010293694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012438494", 
          "https://doi.org/10.1038/nrn2757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012438494", 
          "https://doi.org/10.1038/nrn2757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1535-7597.2004.46008.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019379168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1535-7597.2004.46008.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019379168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncir.2014.00141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020761058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tins.2013.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026129995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/neco_a_00356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026673011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scisignal.2002334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037691403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aaf7560", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039219040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-neuro-062111-150444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040574786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tics.2014.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041059826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/neco_a_00606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042977687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2013.0609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043313844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncel.2014.00378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044443123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.00856.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046458384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn3962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050906431", 
          "https://doi.org/10.1038/nrn3962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2741/3246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070915420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.11-05-01421.1991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077654382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/neco_a_01027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092340979"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-12", 
    "datePublishedReg": "2019-02-12", 
    "description": "Until recently, glia, which exceeds the number of neurons, was considered to only have supportive roles in the central nervous system, providing homeostatic controls and metabolic supports. However, recent studies suggest that glia interacts with neurons and plays active roles in information processing within neuronal circuits. To elucidate how glia contributes to neuronal information processing, we simulated a sensory neuron-glia (neuron-astrocyte) network model. It was investigated in association with ambient (extracellular) GABA level, because the astrocyte has a major role in removing extracellular GABA molecules. In the network model, transporters, embedded in plasma membranes of astrocytes, modulated local ambient GABA levels by actively removing extracellular GABA molecules which persistently acted on receptors in membranes outside synapses and provided pyramidal cells with inhibitory currents. Gap-junction coupling between astrocytes mediated a concordant decrease in local ambient GABA levels, which solicited a prompt population response of pyramidal cells (i.e., activation of an ensemble of pyramidal cells) to a sensory stimulus. As a consequence, the reaction time of a motor network, to which axons of pyramidal cells of the sensory network project, to the sensory stimulus was shortened. We suggest that the astrocytic gap-junction coupling may assist in organizing dynamic cell assemblies by coordinating a reduction in local ambient GABA levels, thereby shortening reaction time to sensory stimulation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00422-019-00793-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1081741", 
        "issn": [
          "0340-1200", 
          "1432-0770"
        ], 
        "name": "Biological Cybernetics", 
        "type": "Periodical"
      }
    ], 
    "name": "Extracellular GABA assisting in organizing dynamic cell assemblies to shorten reaction time to sensory stimulation", 
    "pagination": "1-15", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "21401e0d9038b9f8da64217c18af51668863b6717bcc87a6a55a469d496d3c78"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30746602"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7502533"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00422-019-00793-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112064117"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00422-019-00793-x", 
      "https://app.dimensions.ai/details/publication/pub.1112064117"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:04", 
    "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/v90/0000000334_0000000334/records_127797_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00422-019-00793-x"
  }
]
 

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/s00422-019-00793-x'

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/s00422-019-00793-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00422-019-00793-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00422-019-00793-x'


 

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

167 TRIPLES      21 PREDICATES      48 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00422-019-00793-x schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author Nef5b684504c74263b66ca533bdc6f136
4 schema:citation sg:pub.10.1038/nrn2757
5 sg:pub.10.1038/nrn3962
6 https://doi.org/10.1016/j.conb.2013.12.015
7 https://doi.org/10.1016/j.neuron.2007.10.021
8 https://doi.org/10.1016/j.tics.2014.12.002
9 https://doi.org/10.1016/j.tins.2013.04.004
10 https://doi.org/10.1073/pnas.1520759113
11 https://doi.org/10.1098/rstb.2013.0609
12 https://doi.org/10.1111/j.1535-7597.2004.46008.x
13 https://doi.org/10.1126/science.aaf7560
14 https://doi.org/10.1126/scisignal.2002334
15 https://doi.org/10.1146/annurev-neuro-062111-150444
16 https://doi.org/10.1152/jn.00317.2003
17 https://doi.org/10.1152/jn.00856.2002
18 https://doi.org/10.1162/neco.2009.05-08-778
19 https://doi.org/10.1162/neco_a_00356
20 https://doi.org/10.1162/neco_a_00606
21 https://doi.org/10.1162/neco_a_01027
22 https://doi.org/10.1523/jneurosci.11-05-01421.1991
23 https://doi.org/10.2741/3246
24 https://doi.org/10.3389/fncel.2014.00378
25 https://doi.org/10.3389/fncir.2014.00141
26 schema:datePublished 2019-02-12
27 schema:datePublishedReg 2019-02-12
28 schema:description Until recently, glia, which exceeds the number of neurons, was considered to only have supportive roles in the central nervous system, providing homeostatic controls and metabolic supports. However, recent studies suggest that glia interacts with neurons and plays active roles in information processing within neuronal circuits. To elucidate how glia contributes to neuronal information processing, we simulated a sensory neuron-glia (neuron-astrocyte) network model. It was investigated in association with ambient (extracellular) GABA level, because the astrocyte has a major role in removing extracellular GABA molecules. In the network model, transporters, embedded in plasma membranes of astrocytes, modulated local ambient GABA levels by actively removing extracellular GABA molecules which persistently acted on receptors in membranes outside synapses and provided pyramidal cells with inhibitory currents. Gap-junction coupling between astrocytes mediated a concordant decrease in local ambient GABA levels, which solicited a prompt population response of pyramidal cells (i.e., activation of an ensemble of pyramidal cells) to a sensory stimulus. As a consequence, the reaction time of a motor network, to which axons of pyramidal cells of the sensory network project, to the sensory stimulus was shortened. We suggest that the astrocytic gap-junction coupling may assist in organizing dynamic cell assemblies by coordinating a reduction in local ambient GABA levels, thereby shortening reaction time to sensory stimulation.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf sg:journal.1081741
33 schema:name Extracellular GABA assisting in organizing dynamic cell assemblies to shorten reaction time to sensory stimulation
34 schema:pagination 1-15
35 schema:productId N2e79f9dbd6f64333a3b7c54eb1ed2453
36 N4b1500efa7134a82b27c306096e16c76
37 N671b2c073c9e4f9f8243fc6cdc96925b
38 Nc95d5fcb41474f05a3ada29a9a3494a3
39 Ncc180c38b4bb4fc396f9af1ae4e141d9
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112064117
41 https://doi.org/10.1007/s00422-019-00793-x
42 schema:sdDatePublished 2019-04-11T09:04
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher Nd79b7e3395754756a722652c37438cda
45 schema:url https://link.springer.com/10.1007%2Fs00422-019-00793-x
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N0326f492587e47a1b26364f5d36d2390 schema:affiliation N507491a39e894886a2c71f21269e627f
50 schema:familyName Kameno
51 schema:givenName Rikiya
52 rdf:type schema:Person
53 N1fe81d81cc80459ba13440a4fb77618d schema:affiliation N4dd2cd8280a64dd78ed28f0676c358c8
54 schema:familyName Ishiyama
55 schema:givenName Asahi
56 rdf:type schema:Person
57 N2e79f9dbd6f64333a3b7c54eb1ed2453 schema:name pubmed_id
58 schema:value 30746602
59 rdf:type schema:PropertyValue
60 N350fa3097d5b47f4a280a361e535df2e rdf:first N4c03c0c8dd554d5dbaf86eeec7e6bb10
61 rdf:rest rdf:nil
62 N4b1500efa7134a82b27c306096e16c76 schema:name doi
63 schema:value 10.1007/s00422-019-00793-x
64 rdf:type schema:PropertyValue
65 N4c03c0c8dd554d5dbaf86eeec7e6bb10 schema:affiliation https://www.grid.ac/institutes/grid.410773.6
66 schema:familyName Hoshino
67 schema:givenName Osamu
68 rdf:type schema:Person
69 N4dd2cd8280a64dd78ed28f0676c358c8 schema:name Production Engineering HQ, TDK Corporation, 151, Aza-Maeda, Hirasawa, 018-0402, Nikaho-shi, Akita, Japan
70 rdf:type schema:Organization
71 N507491a39e894886a2c71f21269e627f schema:name Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, 963-8563, Koriyama, Fukushima, Japan
72 rdf:type schema:Organization
73 N671b2c073c9e4f9f8243fc6cdc96925b schema:name dimensions_id
74 schema:value pub.1112064117
75 rdf:type schema:PropertyValue
76 N78e0850f86e24a968f5d093f6c0bcd11 rdf:first Na27539d6228d4b24bac692fdaff787e8
77 rdf:rest N9aa01ecc14bb4f7da92c1fd25c5b0c1a
78 N9491b0a7296149bd90c9f513794a64b8 rdf:first Nd3ce702dd5724e098b4e8d2f67853f58
79 rdf:rest N350fa3097d5b47f4a280a361e535df2e
80 N9aa01ecc14bb4f7da92c1fd25c5b0c1a rdf:first N1fe81d81cc80459ba13440a4fb77618d
81 rdf:rest N9491b0a7296149bd90c9f513794a64b8
82 Na27539d6228d4b24bac692fdaff787e8 schema:affiliation https://www.grid.ac/institutes/grid.410773.6
83 schema:familyName Kobayashi
84 schema:givenName Taira
85 rdf:type schema:Person
86 Na72a8a0499ff44e68e3190c42a17e068 schema:affiliation https://www.grid.ac/institutes/grid.410773.6
87 schema:familyName Sakamoto
88 schema:givenName Ryuta
89 rdf:type schema:Person
90 Nc06ba39c32994ba98fa65e8005457517 rdf:first N0326f492587e47a1b26364f5d36d2390
91 rdf:rest N78e0850f86e24a968f5d093f6c0bcd11
92 Nc95d5fcb41474f05a3ada29a9a3494a3 schema:name nlm_unique_id
93 schema:value 7502533
94 rdf:type schema:PropertyValue
95 Ncc180c38b4bb4fc396f9af1ae4e141d9 schema:name readcube_id
96 schema:value 21401e0d9038b9f8da64217c18af51668863b6717bcc87a6a55a469d496d3c78
97 rdf:type schema:PropertyValue
98 Nd3ce702dd5724e098b4e8d2f67853f58 schema:affiliation Nf24bb12577384b58b33bf5d6c574d0fa
99 schema:familyName Watanabe
100 schema:givenName Kazuo
101 rdf:type schema:Person
102 Nd79b7e3395754756a722652c37438cda schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 Nef5b684504c74263b66ca533bdc6f136 rdf:first Na72a8a0499ff44e68e3190c42a17e068
105 rdf:rest Nc06ba39c32994ba98fa65e8005457517
106 Nf24bb12577384b58b33bf5d6c574d0fa schema:name Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, 963-8563, Koriyama, Fukushima, Japan
107 rdf:type schema:Organization
108 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
109 schema:name Medical and Health Sciences
110 rdf:type schema:DefinedTerm
111 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
112 schema:name Neurosciences
113 rdf:type schema:DefinedTerm
114 sg:journal.1081741 schema:issn 0340-1200
115 1432-0770
116 schema:name Biological Cybernetics
117 rdf:type schema:Periodical
118 sg:pub.10.1038/nrn2757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012438494
119 https://doi.org/10.1038/nrn2757
120 rdf:type schema:CreativeWork
121 sg:pub.10.1038/nrn3962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050906431
122 https://doi.org/10.1038/nrn3962
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.conb.2013.12.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006403323
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.neuron.2007.10.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003329431
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.tics.2014.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041059826
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.tins.2013.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026129995
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1073/pnas.1520759113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006104881
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1098/rstb.2013.0609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043313844
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1111/j.1535-7597.2004.46008.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019379168
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1126/science.aaf7560 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039219040
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1126/scisignal.2002334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037691403
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1146/annurev-neuro-062111-150444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040574786
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1152/jn.00317.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010293694
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1152/jn.00856.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046458384
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1162/neco.2009.05-08-778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005352414
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1162/neco_a_00356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026673011
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1162/neco_a_00606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042977687
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1162/neco_a_01027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092340979
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1523/jneurosci.11-05-01421.1991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077654382
157 rdf:type schema:CreativeWork
158 https://doi.org/10.2741/3246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070915420
159 rdf:type schema:CreativeWork
160 https://doi.org/10.3389/fncel.2014.00378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044443123
161 rdf:type schema:CreativeWork
162 https://doi.org/10.3389/fncir.2014.00141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020761058
163 rdf:type schema:CreativeWork
164 https://www.grid.ac/institutes/grid.410773.6 schema:alternateName Ibaraki University
165 schema:name Department of Intelligent Systems Engineering, Ibaraki University, 4-12-1 Nakanarusawa, 316-8511, Hitachi, Ibaraki, Japan
166 Southern Tohoku Research Institute for Neuroscience, Southern Tohoku General Hospital, 7-115, Yatsuyamada, 963-8563, Koriyama, Fukushima, Japan
167 rdf:type schema:Organization
 




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


...