Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Takashi D. Yoshida Kozai, Nicholas B. Langhals, Paras R. Patel, Xiaopei Deng, Huanan Zhang, Karen L. Smith, Joerg Lahann, Nicholas A. Kotov, Daryl R. Kipke

ABSTRACT

Implantable neural microelectrodes that can record extracellular biopotentials from small, targeted groups of neurons are critical for neuroscience research and emerging clinical applications including brain-controlled prosthetic devices. The crucial material-dependent problem is developing microelectrodes that record neural activity from the same neurons for years with high fidelity and reliability. Here, we report the development of an integrated composite electrode consisting of a carbon-fibre core, a poly(p-xylylene)-based thin-film coating that acts as a dielectric barrier and that is functionalized to control intrinsic biological processes, and a poly(thiophene)-based recording pad. The resulting implants are an order of magnitude smaller than traditional recording electrodes, and more mechanically compliant with brain tissue. They were found to elicit much reduced chronic reactive tissue responses and enabled single-neuron recording in acute and early chronic experiments in rats. This technology, taking advantage of new composites, makes possible highly selective and stealthy neural interface devices towards realizing long-lasting implants. More... »

PAGES

1065

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmat3468

DOI

http://dx.doi.org/10.1038/nmat3468

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013703696

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23142839


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carbon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrodes, Implanted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microelectrodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Synaptic Potentials", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Neural Engineering Lab, Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kozai", 
        "givenName": "Takashi D. Yoshida", 
        "id": "sg:person.010453275504.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453275504.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Neural Engineering Lab, Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Langhals", 
        "givenName": "Nicholas B.", 
        "id": "sg:person.015632624547.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015632624547.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Neural Engineering Lab, Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Patel", 
        "givenName": "Paras R.", 
        "id": "sg:person.01154203552.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154203552.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "Xiaopei", 
        "id": "sg:person.01270200173.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270200173.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Huanan", 
        "id": "sg:person.01014134623.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014134623.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wadsworth Center", 
          "id": "https://www.grid.ac/institutes/grid.465543.5", 
          "name": [
            "Center for Neural Communication Technology, New York State Department of Health, Wadsworth Center, Albany, New York 12201, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smith", 
        "givenName": "Karen L.", 
        "id": "sg:person.01332150464.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332150464.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lahann", 
        "givenName": "Joerg", 
        "id": "sg:person.01045647564.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045647564.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kotov", 
        "givenName": "Nicholas A.", 
        "id": "sg:person.01163320156.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163320156.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Neural Engineering Lab, Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kipke", 
        "givenName": "Daryl R.", 
        "id": "sg:person.01170257304.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170257304.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/brain/awl317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000241153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.3879-08.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002783609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-bioeng-061008-124927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003528202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2005.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004079234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2005.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004079234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2009.06.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008351726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/3/3/002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009474055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2008.174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009558835", 
          "https://doi.org/10.1038/nnano.2008.174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/9/6/066001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012092445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200801984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012343559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200801984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012343559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2011.04.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012843411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b417497f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013238191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0270(98)00031-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013388503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013730941", 
          "https://doi.org/10.1038/nmat2745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013730941", 
          "https://doi.org/10.1038/nmat2745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/7/4/046011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013778942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1385-299x(99)00034-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014571762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015604933", 
          "https://doi.org/10.1038/nmeth.1412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015604933", 
          "https://doi.org/10.1038/nmeth.1412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3940(90)90051-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017619853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3940(90)90051-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017619853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-8993(03)03023-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021112391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-8993(03)03023-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021112391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0014-4886(76)90220-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022346410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(89)90492-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023381897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(89)90492-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023381897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiomech.2004.05.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028663340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/3/3/001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029513692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200700789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029818976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200700789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029818976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200700789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029818976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.92.5.1426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029838229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pi.2098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036430175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2007.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036471516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2009.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037539827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-4636(200108)56:2<261::aid-jbm1094>3.0.co;2-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037658390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2011.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038299124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/3/1/007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039269056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/3/1/007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039269056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.expneurol.2005.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039747430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.expneurol.2005.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039747430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2010.09.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041186625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10544-011-9512-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041676093", 
          "https://doi.org/10.1007/s10544-011-9512-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2004.06.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042287172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-0270(91)90104-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043797476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-0270(91)90104-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043797476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/2/4/003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046867948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/8/6/066011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048586262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/2/4/006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050495252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1741-2560/2/4/006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050495252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm070442a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050649532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm070442a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050649532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.brainres.2009.05.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050725891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0609551104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050827740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200701982", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052698005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl902187z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056222114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl902187z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056222114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.914800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061085890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnsre.2007.909811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061740283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.127.3296.469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062471068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/jns.1997.87.6.0900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071098624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/jns.1997.87.6.0900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071098624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/jns.1997.87.6.0900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071098624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.23-06-02348.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075258313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iembs.2007.4353391", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077517623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.16-23-07757.1996", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082999414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/memsys.2012.6170092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094928828"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-12", 
    "datePublishedReg": "2012-12-01", 
    "description": "Implantable neural microelectrodes that can record extracellular biopotentials from small, targeted groups of neurons are critical for neuroscience research and emerging clinical applications including brain-controlled prosthetic devices. The crucial material-dependent problem is developing microelectrodes that record neural activity from the same neurons for years with high fidelity and reliability. Here, we report the development of an integrated composite electrode consisting of a carbon-fibre core, a poly(p-xylylene)-based thin-film coating that acts as a dielectric barrier and that is functionalized to control intrinsic biological processes, and a poly(thiophene)-based recording pad. The resulting implants are an order of magnitude smaller than traditional recording electrodes, and more mechanically compliant with brain tissue. They were found to elicit much reduced chronic reactive tissue responses and enabled single-neuron recording in acute and early chronic experiments in rats. This technology, taking advantage of new composites, makes possible highly selective and stealthy neural interface devices towards realizing long-lasting implants.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nmat3468", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2669087", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4377550", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2439651", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031408", 
        "issn": [
          "1476-1122", 
          "1476-4660"
        ], 
        "name": "Nature Materials", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces", 
    "pagination": "1065", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4147f01a8f63a53de310fab1d5d76081988e0a1c6a65871da37dcd715e040ae1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23142839"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101155473"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nmat3468"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013703696"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nmat3468", 
      "https://app.dimensions.ai/details/publication/pub.1013703696"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:56", 
    "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_8697_00000435.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/nmat3468"
  }
]
 

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/nmat3468'

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/nmat3468'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmat3468'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmat3468'


 

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

316 TRIPLES      21 PREDICATES      86 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nmat3468 schema:about N257b58c640e04467ad1a417a25ccc792
2 N379147b38daa4e35b8b836c48ef80e14
3 N41e7af2e05d5409db45705aa362ac2d3
4 Nb81f431c03bc4ce494465f99584df4a8
5 Nc77b69ced83e4285934aa076ca8abcb8
6 Nf94e6b230951461583da48ed2a37a109
7 anzsrc-for:11
8 anzsrc-for:1109
9 schema:author N0e23d706069342079fb26b045889d353
10 schema:citation sg:pub.10.1007/s10544-011-9512-z
11 sg:pub.10.1038/nmat2745
12 sg:pub.10.1038/nmeth.1412
13 sg:pub.10.1038/nnano.2008.174
14 https://doi.org/10.1002/1097-4636(200108)56:2<261::aid-jbm1094>3.0.co;2-i
15 https://doi.org/10.1002/adfm.200700789
16 https://doi.org/10.1002/adma.200701982
17 https://doi.org/10.1002/adma.200801984
18 https://doi.org/10.1002/pi.2098
19 https://doi.org/10.1016/0014-4886(76)90220-x
20 https://doi.org/10.1016/0040-6090(89)90492-6
21 https://doi.org/10.1016/0165-0270(91)90104-8
22 https://doi.org/10.1016/0304-3940(90)90051-a
23 https://doi.org/10.1016/j.biomaterials.2007.03.024
24 https://doi.org/10.1016/j.biomaterials.2010.09.033
25 https://doi.org/10.1016/j.biomaterials.2011.04.051
26 https://doi.org/10.1016/j.biomaterials.2011.05.020
27 https://doi.org/10.1016/j.brainres.2009.05.052
28 https://doi.org/10.1016/j.expneurol.2005.04.020
29 https://doi.org/10.1016/j.jbiomech.2004.05.032
30 https://doi.org/10.1016/j.jneumeth.2005.08.015
31 https://doi.org/10.1016/j.jneumeth.2009.06.026
32 https://doi.org/10.1016/j.jneumeth.2009.08.002
33 https://doi.org/10.1016/j.neuroscience.2004.06.046
34 https://doi.org/10.1016/s0006-8993(03)03023-3
35 https://doi.org/10.1016/s0165-0270(98)00031-4
36 https://doi.org/10.1016/s1385-299x(99)00034-3
37 https://doi.org/10.1021/cm070442a
38 https://doi.org/10.1021/nl902187z
39 https://doi.org/10.1039/b417497f
40 https://doi.org/10.1073/pnas.0609551104
41 https://doi.org/10.1073/pnas.92.5.1426
42 https://doi.org/10.1088/1741-2560/2/4/003
43 https://doi.org/10.1088/1741-2560/2/4/006
44 https://doi.org/10.1088/1741-2560/3/1/007
45 https://doi.org/10.1088/1741-2560/3/3/001
46 https://doi.org/10.1088/1741-2560/3/3/002
47 https://doi.org/10.1088/1741-2560/7/4/046011
48 https://doi.org/10.1088/1741-2560/8/6/066011
49 https://doi.org/10.1088/1741-2560/9/6/066001
50 https://doi.org/10.1093/brain/awl317
51 https://doi.org/10.1109/10.914800
52 https://doi.org/10.1109/iembs.2007.4353391
53 https://doi.org/10.1109/memsys.2012.6170092
54 https://doi.org/10.1109/tnsre.2007.909811
55 https://doi.org/10.1126/science.127.3296.469
56 https://doi.org/10.1146/annurev-bioeng-061008-124927
57 https://doi.org/10.1523/jneurosci.16-23-07757.1996
58 https://doi.org/10.1523/jneurosci.23-06-02348.2003
59 https://doi.org/10.1523/jneurosci.3879-08.2008
60 https://doi.org/10.3171/jns.1997.87.6.0900
61 schema:datePublished 2012-12
62 schema:datePublishedReg 2012-12-01
63 schema:description Implantable neural microelectrodes that can record extracellular biopotentials from small, targeted groups of neurons are critical for neuroscience research and emerging clinical applications including brain-controlled prosthetic devices. The crucial material-dependent problem is developing microelectrodes that record neural activity from the same neurons for years with high fidelity and reliability. Here, we report the development of an integrated composite electrode consisting of a carbon-fibre core, a poly(p-xylylene)-based thin-film coating that acts as a dielectric barrier and that is functionalized to control intrinsic biological processes, and a poly(thiophene)-based recording pad. The resulting implants are an order of magnitude smaller than traditional recording electrodes, and more mechanically compliant with brain tissue. They were found to elicit much reduced chronic reactive tissue responses and enabled single-neuron recording in acute and early chronic experiments in rats. This technology, taking advantage of new composites, makes possible highly selective and stealthy neural interface devices towards realizing long-lasting implants.
64 schema:genre research_article
65 schema:inLanguage en
66 schema:isAccessibleForFree true
67 schema:isPartOf N4114843fe68e4a378cbad8ff13687949
68 N4e788f2344c84196bd7be923fb68c302
69 sg:journal.1031408
70 schema:name Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces
71 schema:pagination 1065
72 schema:productId N2c42a50ac3a94daebd13f781e8cb081e
73 N6a8b2153188f497cbbfe96fcba35b846
74 Naaab8c11c06e44c38da04ff6ff6038d5
75 Nde09b33b5fdc4698aa10a8a20124ee35
76 Neec7381c32be4013bbbbb61e4bc58372
77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013703696
78 https://doi.org/10.1038/nmat3468
79 schema:sdDatePublished 2019-04-11T00:56
80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
81 schema:sdPublisher N611ca238bb674dd3b972d5418760b56d
82 schema:url https://www.nature.com/articles/nmat3468
83 sgo:license sg:explorer/license/
84 sgo:sdDataset articles
85 rdf:type schema:ScholarlyArticle
86 N0e23d706069342079fb26b045889d353 rdf:first sg:person.010453275504.54
87 rdf:rest N60812bf07ce24ac1be9f5bad87e0f9a1
88 N257b58c640e04467ad1a417a25ccc792 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Microelectrodes
90 rdf:type schema:DefinedTerm
91 N27162c7ec1094abe884dbeccb78f73ac rdf:first sg:person.01045647564.87
92 rdf:rest Nb2b45a43e9204124b6b1b415fdd78b9b
93 N2c42a50ac3a94daebd13f781e8cb081e schema:name pubmed_id
94 schema:value 23142839
95 rdf:type schema:PropertyValue
96 N379147b38daa4e35b8b836c48ef80e14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Synaptic Potentials
98 rdf:type schema:DefinedTerm
99 N3effa3dcc9a14079b72752d6c3e29ee8 rdf:first sg:person.01014134623.18
100 rdf:rest N5b7cdbec590a4bde8a6d00470fba75a1
101 N4114843fe68e4a378cbad8ff13687949 schema:issueNumber 12
102 rdf:type schema:PublicationIssue
103 N41e7af2e05d5409db45705aa362ac2d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Carbon
105 rdf:type schema:DefinedTerm
106 N4e788f2344c84196bd7be923fb68c302 schema:volumeNumber 11
107 rdf:type schema:PublicationVolume
108 N5b7cdbec590a4bde8a6d00470fba75a1 rdf:first sg:person.01332150464.70
109 rdf:rest N27162c7ec1094abe884dbeccb78f73ac
110 N60812bf07ce24ac1be9f5bad87e0f9a1 rdf:first sg:person.015632624547.53
111 rdf:rest N8e74cd4c3cee48ca8d30bac78acd35c0
112 N611ca238bb674dd3b972d5418760b56d schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 N6a8b2153188f497cbbfe96fcba35b846 schema:name readcube_id
115 schema:value 4147f01a8f63a53de310fab1d5d76081988e0a1c6a65871da37dcd715e040ae1
116 rdf:type schema:PropertyValue
117 N8e74cd4c3cee48ca8d30bac78acd35c0 rdf:first sg:person.01154203552.75
118 rdf:rest Nbb32a5eb982840af893229a165d0ec06
119 Naaab8c11c06e44c38da04ff6ff6038d5 schema:name dimensions_id
120 schema:value pub.1013703696
121 rdf:type schema:PropertyValue
122 Nb2b45a43e9204124b6b1b415fdd78b9b rdf:first sg:person.01163320156.77
123 rdf:rest Ne5032651b18b428da9e183cd3d9a2c18
124 Nb81f431c03bc4ce494465f99584df4a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Animals
126 rdf:type schema:DefinedTerm
127 Nbb32a5eb982840af893229a165d0ec06 rdf:first sg:person.01270200173.95
128 rdf:rest N3effa3dcc9a14079b72752d6c3e29ee8
129 Nc77b69ced83e4285934aa076ca8abcb8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Rats
131 rdf:type schema:DefinedTerm
132 Nde09b33b5fdc4698aa10a8a20124ee35 schema:name doi
133 schema:value 10.1038/nmat3468
134 rdf:type schema:PropertyValue
135 Ne5032651b18b428da9e183cd3d9a2c18 rdf:first sg:person.01170257304.99
136 rdf:rest rdf:nil
137 Neec7381c32be4013bbbbb61e4bc58372 schema:name nlm_unique_id
138 schema:value 101155473
139 rdf:type schema:PropertyValue
140 Nf94e6b230951461583da48ed2a37a109 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Electrodes, Implanted
142 rdf:type schema:DefinedTerm
143 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
144 schema:name Medical and Health Sciences
145 rdf:type schema:DefinedTerm
146 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
147 schema:name Neurosciences
148 rdf:type schema:DefinedTerm
149 sg:grant.2439651 http://pending.schema.org/fundedItem sg:pub.10.1038/nmat3468
150 rdf:type schema:MonetaryGrant
151 sg:grant.2669087 http://pending.schema.org/fundedItem sg:pub.10.1038/nmat3468
152 rdf:type schema:MonetaryGrant
153 sg:grant.4377550 http://pending.schema.org/fundedItem sg:pub.10.1038/nmat3468
154 rdf:type schema:MonetaryGrant
155 sg:journal.1031408 schema:issn 1476-1122
156 1476-4660
157 schema:name Nature Materials
158 rdf:type schema:Periodical
159 sg:person.01014134623.18 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
160 schema:familyName Zhang
161 schema:givenName Huanan
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014134623.18
163 rdf:type schema:Person
164 sg:person.010453275504.54 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
165 schema:familyName Kozai
166 schema:givenName Takashi D. Yoshida
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453275504.54
168 rdf:type schema:Person
169 sg:person.01045647564.87 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
170 schema:familyName Lahann
171 schema:givenName Joerg
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045647564.87
173 rdf:type schema:Person
174 sg:person.01154203552.75 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
175 schema:familyName Patel
176 schema:givenName Paras R.
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154203552.75
178 rdf:type schema:Person
179 sg:person.01163320156.77 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
180 schema:familyName Kotov
181 schema:givenName Nicholas A.
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163320156.77
183 rdf:type schema:Person
184 sg:person.01170257304.99 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
185 schema:familyName Kipke
186 schema:givenName Daryl R.
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170257304.99
188 rdf:type schema:Person
189 sg:person.01270200173.95 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
190 schema:familyName Deng
191 schema:givenName Xiaopei
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270200173.95
193 rdf:type schema:Person
194 sg:person.01332150464.70 schema:affiliation https://www.grid.ac/institutes/grid.465543.5
195 schema:familyName Smith
196 schema:givenName Karen L.
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332150464.70
198 rdf:type schema:Person
199 sg:person.015632624547.53 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
200 schema:familyName Langhals
201 schema:givenName Nicholas B.
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015632624547.53
203 rdf:type schema:Person
204 sg:pub.10.1007/s10544-011-9512-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1041676093
205 https://doi.org/10.1007/s10544-011-9512-z
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/nmat2745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013730941
208 https://doi.org/10.1038/nmat2745
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/nmeth.1412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015604933
211 https://doi.org/10.1038/nmeth.1412
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/nnano.2008.174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009558835
214 https://doi.org/10.1038/nnano.2008.174
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1002/1097-4636(200108)56:2<261::aid-jbm1094>3.0.co;2-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1037658390
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1002/adfm.200700789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029818976
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1002/adma.200701982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052698005
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1002/adma.200801984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012343559
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/pi.2098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036430175
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/0014-4886(76)90220-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022346410
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/0040-6090(89)90492-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023381897
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/0165-0270(91)90104-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043797476
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/0304-3940(90)90051-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1017619853
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.biomaterials.2007.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036471516
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.biomaterials.2010.09.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041186625
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.biomaterials.2011.04.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012843411
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.biomaterials.2011.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038299124
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.brainres.2009.05.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050725891
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.expneurol.2005.04.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039747430
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.jbiomech.2004.05.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028663340
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.jneumeth.2005.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004079234
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.jneumeth.2009.06.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008351726
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/j.jneumeth.2009.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037539827
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/j.neuroscience.2004.06.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042287172
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/s0006-8993(03)03023-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021112391
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/s0165-0270(98)00031-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013388503
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/s1385-299x(99)00034-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014571762
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1021/cm070442a schema:sameAs https://app.dimensions.ai/details/publication/pub.1050649532
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1021/nl902187z schema:sameAs https://app.dimensions.ai/details/publication/pub.1056222114
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1039/b417497f schema:sameAs https://app.dimensions.ai/details/publication/pub.1013238191
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1073/pnas.0609551104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050827740
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1073/pnas.92.5.1426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029838229
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1088/1741-2560/2/4/003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046867948
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1088/1741-2560/2/4/006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050495252
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1088/1741-2560/3/1/007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039269056
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1088/1741-2560/3/3/001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029513692
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1088/1741-2560/3/3/002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009474055
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1088/1741-2560/7/4/046011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013778942
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1088/1741-2560/8/6/066011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048586262
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1088/1741-2560/9/6/066001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012092445
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1093/brain/awl317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000241153
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1109/10.914800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061085890
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1109/iembs.2007.4353391 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077517623
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1109/memsys.2012.6170092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094928828
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1109/tnsre.2007.909811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061740283
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1126/science.127.3296.469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062471068
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1146/annurev-bioeng-061008-124927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003528202
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1523/jneurosci.16-23-07757.1996 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082999414
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1523/jneurosci.23-06-02348.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075258313
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1523/jneurosci.3879-08.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002783609
307 rdf:type schema:CreativeWork
308 https://doi.org/10.3171/jns.1997.87.6.0900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071098624
309 rdf:type schema:CreativeWork
310 https://www.grid.ac/institutes/grid.214458.e schema:alternateName University of Michigan–Ann Arbor
311 schema:name Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
312 Neural Engineering Lab, Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
313 rdf:type schema:Organization
314 https://www.grid.ac/institutes/grid.465543.5 schema:alternateName Wadsworth Center
315 schema:name Center for Neural Communication Technology, New York State Department of Health, Wadsworth Center, Albany, New York 12201, USA
316 rdf:type schema:Organization
 




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


...