Super-wide-field two-photon imaging with a micro-optical device moving in post-objective space View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Shin-Ichiro Terada, Kenta Kobayashi, Masamichi Ohkura, Junichi Nakai, Masanori Matsuzaki

ABSTRACT

Wide-field imaging of neural activity at a cellular resolution is a current challenge in neuroscience. To address this issue, wide-field two-photon microscopy has been developed; however, the field size is limited by the objective size. Here, we develop a micro-opto-mechanical device that rotates within the post-objective space between the objective and brain tissue. Two-photon microscopy with this device enables sub-second sequential calcium imaging of left and right mouse sensory forelimb areas 6 mm apart. When imaging the rostral and caudal motor forelimb areas (RFA and CFA) 2 mm apart, we found high pairwise correlations in spontaneous activity between RFA and CFA neurons and between an RFA neuron and its putative axons in CFA. While mice performed a sound-triggered forelimb-movement task, the population activity between RFA and CFA covaried across trials, although the field-averaged activity was similar across trials. The micro-opto-mechanical device in the post-objective space provides a novel and flexible design to clarify the correlation structure between distant brain areas at subcellular and population levels. More... »

PAGES

3550

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-018-06058-8

DOI

http://dx.doi.org/10.1038/s41467-018-06058-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106394374

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30177699


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": "Kyoto University", 
          "id": "https://www.grid.ac/institutes/grid.258799.8", 
          "name": [
            "Department of Physiology, Graduate School of Medicine, The University of Tokyo, 113-0033, Tokyo, Japan", 
            "Division of Brain Circuits, National Institute for Basic Biology, 444-8585, Aichi, Japan", 
            "Graduate School of Biostudies, Kyoto University, 606-8501, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Terada", 
        "givenName": "Shin-Ichiro", 
        "id": "sg:person.01130447011.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130447011.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Physiological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.467811.d", 
          "name": [
            "Section of Viral Vector Development, National Institute for Physiological Sciences, 444-8585, Aichi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Kenta", 
        "id": "sg:person.01047636562.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047636562.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saitama University", 
          "id": "https://www.grid.ac/institutes/grid.263023.6", 
          "name": [
            "Brain and Body System Science Institute, Graduate School of Science and Engineering, Saitama University, 338-8570, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohkura", 
        "givenName": "Masamichi", 
        "id": "sg:person.01024076110.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024076110.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saitama University", 
          "id": "https://www.grid.ac/institutes/grid.263023.6", 
          "name": [
            "Brain and Body System Science Institute, Graduate School of Science and Engineering, Saitama University, 338-8570, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakai", 
        "givenName": "Junichi", 
        "id": "sg:person.0726122251.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726122251.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Physiology, Graduate School of Medicine, The University of Tokyo, 113-0033, Tokyo, Japan", 
            "Division of Brain Circuits, National Institute for Basic Biology, 444-8585, Aichi, Japan", 
            "Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, 332-0012, Saitama, Japan", 
            "International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, 113-0033, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuzaki", 
        "givenName": "Masanori", 
        "id": "sg:person.01336070367.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336070367.59"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature11321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000933672", 
          "https://doi.org/10.1038/nature11321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000020714.48349.4e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001556007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2008.08.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002487975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2012.02.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002520005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.26.15706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002575633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0039933", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003659881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004794159", 
          "https://doi.org/10.1038/nature13665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004813698", 
          "https://doi.org/10.1038/nn.4403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007698742", 
          "https://doi.org/10.1038/nature13235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.2550-12.2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008509105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.2928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009160296", 
          "https://doi.org/10.1038/nn.2928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncir.2012.00049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009397562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.5214-14.2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010549842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011145263", 
          "https://doi.org/10.1038/nature14251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1514209112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011229319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fncir.2013.00055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011762665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.3739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013024276", 
          "https://doi.org/10.1038/nn.3739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2015.10.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013660599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2014.123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014073050", 
          "https://doi.org/10.1038/nprot.2014.123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2009.03.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014194575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.3300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016944649", 
          "https://doi.org/10.1038/nn.3300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1136800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017347292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017848486", 
          "https://doi.org/10.1038/nature03274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017848486", 
          "https://doi.org/10.1038/nature03274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018445076", 
          "https://doi.org/10.1038/nature13186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018727336", 
          "https://doi.org/10.1038/nature11601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.3594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019394825", 
          "https://doi.org/10.1038/nbt.3594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2014.10.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020876147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2014.10.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020876147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.14472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025118297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth818", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028724631", 
          "https://doi.org/10.1038/nmeth818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth818", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028724631", 
          "https://doi.org/10.1038/nmeth818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature10918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028829942", 
          "https://doi.org/10.1038/nature10918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029893289", 
          "https://doi.org/10.1038/nature11129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/08990229309028837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030208574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2015.11.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032323911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/bhq159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032348295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032404578", 
          "https://doi.org/10.1038/nature14467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.2126-13.2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033065977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2013.07.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033783563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09880", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036441111", 
          "https://doi.org/10.1038/nature09880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037509629", 
          "https://doi.org/10.1038/nn.4358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.12727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038525074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1113/jp272794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039805720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-neuro-071714-033936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040317725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2014.03.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042941025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043516362", 
          "https://doi.org/10.1038/nature12354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.3776", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045433215", 
          "https://doi.org/10.1038/nn.3776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2007.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047340092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047735637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1421753111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049479758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1421753111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049479758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.3867", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049488992", 
          "https://doi.org/10.1038/nn.3867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.neuro.27.070203.144152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049911661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/bht216", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050571293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2004.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051801491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1179850", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052874679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neulet.2016.07.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053243988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.3185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053355159", 
          "https://doi.org/10.1038/nmeth.3185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/83.650848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061239679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.278.5345.1950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062558970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.18-03-01161.1998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083200501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2017.01.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083848870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2017.01.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083848870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2017.02.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084064570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.4230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084129320", 
          "https://doi.org/10.1038/nmeth.4230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.4230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084129320", 
          "https://doi.org/10.1038/nmeth.4230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085130150", 
          "https://doi.org/10.1038/nn.4554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085130150", 
          "https://doi.org/10.1038/nn.4554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2017.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085436130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2017.07.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090951422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2017.07.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090951422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2017.08.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091893591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.26839", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091911744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41593-018-0095-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101515869", 
          "https://doi.org/10.1038/s41593-018-0095-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41593-018-0095-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101515869", 
          "https://doi.org/10.1038/s41593-018-0095-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41593-018-0095-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101515869", 
          "https://doi.org/10.1038/s41593-018-0095-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/306019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103591138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/306019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103591138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/306019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103591138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/308288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103675285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/308288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103675285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/308288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103675285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-04286-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103889251", 
          "https://doi.org/10.1038/s41467-018-04286-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Wide-field imaging of neural activity at a cellular resolution is a current challenge in neuroscience. To address this issue, wide-field two-photon microscopy has been developed; however, the field size is limited by the objective size. Here, we develop a micro-opto-mechanical device that rotates within the post-objective space between the objective and brain tissue. Two-photon microscopy with this device enables sub-second sequential calcium imaging of left and right mouse sensory forelimb areas 6\u2009mm apart. When imaging the rostral and caudal motor forelimb areas (RFA and CFA) 2\u2009mm apart, we found high pairwise correlations in spontaneous activity between RFA and CFA neurons and between an RFA neuron and its putative axons in CFA. While mice performed a sound-triggered forelimb-movement task, the population activity between RFA and CFA covaried across trials, although the field-averaged activity was similar across trials. The micro-opto-mechanical device in the post-objective space provides a novel and flexible design to clarify the correlation structure between distant brain areas at subcellular and population levels.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41467-018-06058-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5828160", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5849870", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6958237", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5850583", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5581859", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Super-wide-field two-photon imaging with a micro-optical device moving in post-objective space", 
    "pagination": "3550", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d0434948e75e7d343547f69da92a3424925c755e999c8c859a9e555751a69c92"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30177699"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41467-018-06058-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106394374"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41467-018-06058-8", 
      "https://app.dimensions.ai/details/publication/pub.1106394374"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:41", 
    "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_8690_00000567.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41467-018-06058-8"
  }
]
 

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.10.1038/s41467-018-06058-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-06058-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-06058-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-06058-8'


 

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

357 TRIPLES      21 PREDICATES      99 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41467-018-06058-8 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author N6ee5534cdd9e41409685921685673cc1
4 schema:citation sg:pub.10.1038/nature03274
5 sg:pub.10.1038/nature09880
6 sg:pub.10.1038/nature10918
7 sg:pub.10.1038/nature11129
8 sg:pub.10.1038/nature11321
9 sg:pub.10.1038/nature11601
10 sg:pub.10.1038/nature12354
11 sg:pub.10.1038/nature13186
12 sg:pub.10.1038/nature13235
13 sg:pub.10.1038/nature13665
14 sg:pub.10.1038/nature14251
15 sg:pub.10.1038/nature14467
16 sg:pub.10.1038/nbt.3594
17 sg:pub.10.1038/nmeth.3185
18 sg:pub.10.1038/nmeth.4230
19 sg:pub.10.1038/nmeth818
20 sg:pub.10.1038/nn.2928
21 sg:pub.10.1038/nn.3300
22 sg:pub.10.1038/nn.3739
23 sg:pub.10.1038/nn.3776
24 sg:pub.10.1038/nn.3867
25 sg:pub.10.1038/nn.4358
26 sg:pub.10.1038/nn.4403
27 sg:pub.10.1038/nn.4554
28 sg:pub.10.1038/nprot.2014.123
29 sg:pub.10.1038/s41467-018-04286-6
30 sg:pub.10.1038/s41593-018-0095-3
31 https://doi.org/10.1016/j.cell.2014.03.042
32 https://doi.org/10.1016/j.cell.2017.08.014
33 https://doi.org/10.1016/j.celrep.2015.10.050
34 https://doi.org/10.1016/j.celrep.2017.02.043
35 https://doi.org/10.1016/j.jneumeth.2017.07.031
36 https://doi.org/10.1016/j.neulet.2016.07.020
37 https://doi.org/10.1016/j.neuron.2007.08.003
38 https://doi.org/10.1016/j.neuron.2008.08.007
39 https://doi.org/10.1016/j.neuron.2009.03.014
40 https://doi.org/10.1016/j.neuron.2012.02.028
41 https://doi.org/10.1016/j.neuron.2013.07.052
42 https://doi.org/10.1016/j.neuron.2014.10.048
43 https://doi.org/10.1016/j.neuron.2015.11.037
44 https://doi.org/10.1016/j.neuron.2017.01.027
45 https://doi.org/10.1016/j.neuron.2017.04.015
46 https://doi.org/10.1016/j.neuroscience.2004.10.010
47 https://doi.org/10.1073/pnas.1421753111
48 https://doi.org/10.1073/pnas.1514209112
49 https://doi.org/10.1073/pnas.95.26.15706
50 https://doi.org/10.1093/bioinformatics/btp184
51 https://doi.org/10.1093/cercor/bhq159
52 https://doi.org/10.1093/cercor/bht216
53 https://doi.org/10.1101/306019
54 https://doi.org/10.1101/308288
55 https://doi.org/10.1109/83.650848
56 https://doi.org/10.1113/jp272794
57 https://doi.org/10.1126/science.1136800
58 https://doi.org/10.1126/science.1179850
59 https://doi.org/10.1126/science.278.5345.1950
60 https://doi.org/10.1146/annurev-neuro-071714-033936
61 https://doi.org/10.1146/annurev.neuro.27.070203.144152
62 https://doi.org/10.1161/01.str.0000020714.48349.4e
63 https://doi.org/10.1371/journal.pone.0039933
64 https://doi.org/10.1523/jneurosci.18-03-01161.1998
65 https://doi.org/10.1523/jneurosci.2126-13.2013
66 https://doi.org/10.1523/jneurosci.2550-12.2013
67 https://doi.org/10.1523/jneurosci.5214-14.2015
68 https://doi.org/10.3109/08990229309028837
69 https://doi.org/10.3389/fncir.2012.00049
70 https://doi.org/10.3389/fncir.2013.00055
71 https://doi.org/10.7554/elife.12727
72 https://doi.org/10.7554/elife.14472
73 https://doi.org/10.7554/elife.26839
74 schema:datePublished 2018-12
75 schema:datePublishedReg 2018-12-01
76 schema:description Wide-field imaging of neural activity at a cellular resolution is a current challenge in neuroscience. To address this issue, wide-field two-photon microscopy has been developed; however, the field size is limited by the objective size. Here, we develop a micro-opto-mechanical device that rotates within the post-objective space between the objective and brain tissue. Two-photon microscopy with this device enables sub-second sequential calcium imaging of left and right mouse sensory forelimb areas 6 mm apart. When imaging the rostral and caudal motor forelimb areas (RFA and CFA) 2 mm apart, we found high pairwise correlations in spontaneous activity between RFA and CFA neurons and between an RFA neuron and its putative axons in CFA. While mice performed a sound-triggered forelimb-movement task, the population activity between RFA and CFA covaried across trials, although the field-averaged activity was similar across trials. The micro-opto-mechanical device in the post-objective space provides a novel and flexible design to clarify the correlation structure between distant brain areas at subcellular and population levels.
77 schema:genre research_article
78 schema:inLanguage en
79 schema:isAccessibleForFree true
80 schema:isPartOf N3fccaf96591f45a79e2571e9099b72e5
81 N598691c65e924745ab07ea127fdeaddb
82 sg:journal.1043282
83 schema:name Super-wide-field two-photon imaging with a micro-optical device moving in post-objective space
84 schema:pagination 3550
85 schema:productId N10b79534b63a4be18ca2a1c6cb5778f7
86 N556f99e4908740b2881cebbb3d3ce2d9
87 Nb60396a72da345f5a6bf04f592876fe3
88 Nbafd54d5ef224cf4932848f5d6b4b543
89 Ne00b27a8cef940c1915684a4b8f7413a
90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106394374
91 https://doi.org/10.1038/s41467-018-06058-8
92 schema:sdDatePublished 2019-04-10T22:41
93 schema:sdLicense https://scigraph.springernature.com/explorer/license/
94 schema:sdPublisher N6d9079930cb946a4835f72ed058f4e70
95 schema:url https://www.nature.com/articles/s41467-018-06058-8
96 sgo:license sg:explorer/license/
97 sgo:sdDataset articles
98 rdf:type schema:ScholarlyArticle
99 N10b79534b63a4be18ca2a1c6cb5778f7 schema:name doi
100 schema:value 10.1038/s41467-018-06058-8
101 rdf:type schema:PropertyValue
102 N3fccaf96591f45a79e2571e9099b72e5 schema:volumeNumber 9
103 rdf:type schema:PublicationVolume
104 N41a7ebb2e7eb45888b1db38491827142 rdf:first sg:person.0726122251.32
105 rdf:rest N4c03c4a7a5104fd08d57f3eb62c31444
106 N4c03c4a7a5104fd08d57f3eb62c31444 rdf:first sg:person.01336070367.59
107 rdf:rest rdf:nil
108 N556f99e4908740b2881cebbb3d3ce2d9 schema:name dimensions_id
109 schema:value pub.1106394374
110 rdf:type schema:PropertyValue
111 N598691c65e924745ab07ea127fdeaddb schema:issueNumber 1
112 rdf:type schema:PublicationIssue
113 N6d9079930cb946a4835f72ed058f4e70 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N6ee5534cdd9e41409685921685673cc1 rdf:first sg:person.01130447011.06
116 rdf:rest Naf9d4bfbba2c4e3c9b4541dce7387ba8
117 Naf9d4bfbba2c4e3c9b4541dce7387ba8 rdf:first sg:person.01047636562.56
118 rdf:rest Nf1a089b2432447afb4b41340069dddf4
119 Nb60396a72da345f5a6bf04f592876fe3 schema:name readcube_id
120 schema:value d0434948e75e7d343547f69da92a3424925c755e999c8c859a9e555751a69c92
121 rdf:type schema:PropertyValue
122 Nbafd54d5ef224cf4932848f5d6b4b543 schema:name pubmed_id
123 schema:value 30177699
124 rdf:type schema:PropertyValue
125 Ne00b27a8cef940c1915684a4b8f7413a schema:name nlm_unique_id
126 schema:value 101528555
127 rdf:type schema:PropertyValue
128 Nf1a089b2432447afb4b41340069dddf4 rdf:first sg:person.01024076110.37
129 rdf:rest N41a7ebb2e7eb45888b1db38491827142
130 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
131 schema:name Medical and Health Sciences
132 rdf:type schema:DefinedTerm
133 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
134 schema:name Neurosciences
135 rdf:type schema:DefinedTerm
136 sg:grant.5581859 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06058-8
137 rdf:type schema:MonetaryGrant
138 sg:grant.5828160 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06058-8
139 rdf:type schema:MonetaryGrant
140 sg:grant.5849870 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06058-8
141 rdf:type schema:MonetaryGrant
142 sg:grant.5850583 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06058-8
143 rdf:type schema:MonetaryGrant
144 sg:grant.6958237 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06058-8
145 rdf:type schema:MonetaryGrant
146 sg:journal.1043282 schema:issn 2041-1723
147 schema:name Nature Communications
148 rdf:type schema:Periodical
149 sg:person.01024076110.37 schema:affiliation https://www.grid.ac/institutes/grid.263023.6
150 schema:familyName Ohkura
151 schema:givenName Masamichi
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024076110.37
153 rdf:type schema:Person
154 sg:person.01047636562.56 schema:affiliation https://www.grid.ac/institutes/grid.467811.d
155 schema:familyName Kobayashi
156 schema:givenName Kenta
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047636562.56
158 rdf:type schema:Person
159 sg:person.01130447011.06 schema:affiliation https://www.grid.ac/institutes/grid.258799.8
160 schema:familyName Terada
161 schema:givenName Shin-Ichiro
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130447011.06
163 rdf:type schema:Person
164 sg:person.01336070367.59 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
165 schema:familyName Matsuzaki
166 schema:givenName Masanori
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336070367.59
168 rdf:type schema:Person
169 sg:person.0726122251.32 schema:affiliation https://www.grid.ac/institutes/grid.263023.6
170 schema:familyName Nakai
171 schema:givenName Junichi
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726122251.32
173 rdf:type schema:Person
174 sg:pub.10.1038/nature03274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017848486
175 https://doi.org/10.1038/nature03274
176 rdf:type schema:CreativeWork
177 sg:pub.10.1038/nature09880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036441111
178 https://doi.org/10.1038/nature09880
179 rdf:type schema:CreativeWork
180 sg:pub.10.1038/nature10918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028829942
181 https://doi.org/10.1038/nature10918
182 rdf:type schema:CreativeWork
183 sg:pub.10.1038/nature11129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029893289
184 https://doi.org/10.1038/nature11129
185 rdf:type schema:CreativeWork
186 sg:pub.10.1038/nature11321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000933672
187 https://doi.org/10.1038/nature11321
188 rdf:type schema:CreativeWork
189 sg:pub.10.1038/nature11601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018727336
190 https://doi.org/10.1038/nature11601
191 rdf:type schema:CreativeWork
192 sg:pub.10.1038/nature12354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043516362
193 https://doi.org/10.1038/nature12354
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/nature13186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018445076
196 https://doi.org/10.1038/nature13186
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/nature13235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007698742
199 https://doi.org/10.1038/nature13235
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/nature13665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004794159
202 https://doi.org/10.1038/nature13665
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/nature14251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011145263
205 https://doi.org/10.1038/nature14251
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/nature14467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032404578
208 https://doi.org/10.1038/nature14467
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/nbt.3594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019394825
211 https://doi.org/10.1038/nbt.3594
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/nmeth.3185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053355159
214 https://doi.org/10.1038/nmeth.3185
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/nmeth.4230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084129320
217 https://doi.org/10.1038/nmeth.4230
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/nmeth818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028724631
220 https://doi.org/10.1038/nmeth818
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/nn.2928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009160296
223 https://doi.org/10.1038/nn.2928
224 rdf:type schema:CreativeWork
225 sg:pub.10.1038/nn.3300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016944649
226 https://doi.org/10.1038/nn.3300
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/nn.3739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013024276
229 https://doi.org/10.1038/nn.3739
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/nn.3776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045433215
232 https://doi.org/10.1038/nn.3776
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/nn.3867 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049488992
235 https://doi.org/10.1038/nn.3867
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/nn.4358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037509629
238 https://doi.org/10.1038/nn.4358
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/nn.4403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004813698
241 https://doi.org/10.1038/nn.4403
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/nn.4554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085130150
244 https://doi.org/10.1038/nn.4554
245 rdf:type schema:CreativeWork
246 sg:pub.10.1038/nprot.2014.123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014073050
247 https://doi.org/10.1038/nprot.2014.123
248 rdf:type schema:CreativeWork
249 sg:pub.10.1038/s41467-018-04286-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103889251
250 https://doi.org/10.1038/s41467-018-04286-6
251 rdf:type schema:CreativeWork
252 sg:pub.10.1038/s41593-018-0095-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101515869
253 https://doi.org/10.1038/s41593-018-0095-3
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.cell.2014.03.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042941025
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.cell.2017.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091893591
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/j.celrep.2015.10.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013660599
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/j.celrep.2017.02.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084064570
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/j.jneumeth.2017.07.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090951422
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1016/j.neulet.2016.07.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053243988
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1016/j.neuron.2007.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047340092
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/j.neuron.2008.08.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002487975
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1016/j.neuron.2009.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014194575
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1016/j.neuron.2012.02.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002520005
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1016/j.neuron.2013.07.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033783563
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1016/j.neuron.2014.10.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020876147
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1016/j.neuron.2015.11.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032323911
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1016/j.neuron.2017.01.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083848870
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1016/j.neuron.2017.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085436130
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1016/j.neuroscience.2004.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051801491
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1073/pnas.1421753111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049479758
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1073/pnas.1514209112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011229319
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1073/pnas.95.26.15706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002575633
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1093/bioinformatics/btp184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047735637
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1093/cercor/bhq159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032348295
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1093/cercor/bht216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050571293
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1101/306019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103591138
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1101/308288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103675285
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1109/83.650848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061239679
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1113/jp272794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039805720
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1126/science.1136800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017347292
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1126/science.1179850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052874679
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1126/science.278.5345.1950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062558970
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1146/annurev-neuro-071714-033936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040317725
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1146/annurev.neuro.27.070203.144152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049911661
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1161/01.str.0000020714.48349.4e schema:sameAs https://app.dimensions.ai/details/publication/pub.1001556007
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1371/journal.pone.0039933 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003659881
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1523/jneurosci.18-03-01161.1998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083200501
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1523/jneurosci.2126-13.2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033065977
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1523/jneurosci.2550-12.2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008509105
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1523/jneurosci.5214-14.2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010549842
328 rdf:type schema:CreativeWork
329 https://doi.org/10.3109/08990229309028837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030208574
330 rdf:type schema:CreativeWork
331 https://doi.org/10.3389/fncir.2012.00049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009397562
332 rdf:type schema:CreativeWork
333 https://doi.org/10.3389/fncir.2013.00055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011762665
334 rdf:type schema:CreativeWork
335 https://doi.org/10.7554/elife.12727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038525074
336 rdf:type schema:CreativeWork
337 https://doi.org/10.7554/elife.14472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025118297
338 rdf:type schema:CreativeWork
339 https://doi.org/10.7554/elife.26839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091911744
340 rdf:type schema:CreativeWork
341 https://www.grid.ac/institutes/grid.258799.8 schema:alternateName Kyoto University
342 schema:name Department of Physiology, Graduate School of Medicine, The University of Tokyo, 113-0033, Tokyo, Japan
343 Division of Brain Circuits, National Institute for Basic Biology, 444-8585, Aichi, Japan
344 Graduate School of Biostudies, Kyoto University, 606-8501, Kyoto, Japan
345 rdf:type schema:Organization
346 https://www.grid.ac/institutes/grid.263023.6 schema:alternateName Saitama University
347 schema:name Brain and Body System Science Institute, Graduate School of Science and Engineering, Saitama University, 338-8570, Saitama, Japan
348 rdf:type schema:Organization
349 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
350 schema:name Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, 332-0012, Saitama, Japan
351 Department of Physiology, Graduate School of Medicine, The University of Tokyo, 113-0033, Tokyo, Japan
352 Division of Brain Circuits, National Institute for Basic Biology, 444-8585, Aichi, Japan
353 International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, 113-0033, Tokyo, Japan
354 rdf:type schema:Organization
355 https://www.grid.ac/institutes/grid.467811.d schema:alternateName National Institute for Physiological Sciences
356 schema:name Section of Viral Vector Development, National Institute for Physiological Sciences, 444-8585, Aichi, Japan
357 rdf:type schema:Organization
 




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


...