View in EDS

A topological deep learning framework for neural spike decoding.

Saved in:
Bibliographic Details
Title: A topological deep learning framework for neural spike decoding.
Authors: Mitchell EC; University of Tennessee Knoxville, Knoxville, Tennessee; Joe Gibbs Human Performance Institute, Huntersville, North Carolina., Story B; University of Tennessee Knoxville, Knoxville, Tennessee; Army Research Lab, Aberdeen, Maryland., Boothe D; Army Research Lab, Aberdeen, Maryland., Franaszczuk PJ; Army Research Lab, Aberdeen, Maryland; Johns Hopkins University, Baltimore, Maryland., Maroulas V; University of Tennessee Knoxville, Knoxville, Tennessee. Electronic address: vmaroula@utk.edu.
Source: Biophysical journal [Biophys J] 2024 Sep 03; Vol. 123 (17), pp. 2781-2789. Date of Electronic Publication: 2024 Feb 22.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0370626 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1542-0086 (Electronic) Linking ISSN: 00063495 NLM ISO Abbreviation: Biophys J Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38402607
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A topological deep learning framework for neural spike decoding.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Mitchell+EC%22">Mitchell EC</searchLink>; University of Tennessee Knoxville, Knoxville, Tennessee; Joe Gibbs Human Performance Institute, Huntersville, North Carolina.<br /><searchLink fieldCode="AU" term="%22Story+B%22">Story B</searchLink>; University of Tennessee Knoxville, Knoxville, Tennessee; Army Research Lab, Aberdeen, Maryland.<br /><searchLink fieldCode="AU" term="%22Boothe+D%22">Boothe D</searchLink>; Army Research Lab, Aberdeen, Maryland.<br /><searchLink fieldCode="AU" term="%22Franaszczuk+PJ%22">Franaszczuk PJ</searchLink>; Army Research Lab, Aberdeen, Maryland; Johns Hopkins University, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Maroulas+V%22">Maroulas V</searchLink>; University of Tennessee Knoxville, Knoxville, Tennessee. Electronic address: vmaroula@utk.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220370626%22">Biophysical journal</searchLink> [Biophys J] 2024 Sep 03; Vol. 123 (17), pp. 2781-2789. <i>Date of Electronic Publication: </i>2024 Feb 22.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cell+Press%22">Cell Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0370626 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1542-0086 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200063495%22">00063495 </searchLink><i>NLM ISO Abbreviation: </i>Biophys J <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38402607
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.bpj.2024.01.025
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 2781
    Titles:
      – TitleFull: A topological deep learning framework for neural spike decoding.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mitchell EC
      – PersonEntity:
          Name:
            NameFull: Story B
      – PersonEntity:
          Name:
            NameFull: Boothe D
      – PersonEntity:
          Name:
            NameFull: Franaszczuk PJ
      – PersonEntity:
          Name:
            NameFull: Maroulas V
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 09
              Text: 2024 Sep 03
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1542-0086
          Numbering:
            – Type: volume
              Value: 123
            – Type: issue
              Value: 17
          Titles:
            – TitleFull: Biophysical journal
              Type: main
ResultId 1