Neural decoding using a parallel sequential monte carlo method on point processes with ensemble effect.

Bibliographic Details
Published in:BioMed Research International Vol. 2014; pp. 685492 - 685493
Main Authors: Xu, Kai, Wang, Yiwen, Wang, Fang, Liao, Yuxi, Zhang, Qiaosheng, Li, Hongbao, Zheng, Xiaoxiang
Format: research Journal Article
Published: Wiley-Blackwell 2014
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103829938&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 103829938
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        23146133
        FT2T
      jtl: BioMed Research International
      issn: 23146133
      maglogo: N
    pubinfo:
      dt: 2014
      vid: 2014
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        103829938
        103829938
        2012622841
        NLM24949462
        PMC4052147
        103829938
      ppf: 685492
      ppct: 1
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Neural decoding using a parallel sequential monte carlo method on point processes with ensemble effect.
      aug:
        au:
          Xu, Kai
          Wang, Yiwen
          Wang, Fang
          Liao, Yuxi
          Zhang, Qiaosheng
          Li, Hongbao
          Zheng, Xiaoxiang
        affil: Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China ; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
      sug:
        subj:
          Models, Biological
          Psychomotor Performance
          Systems Analysis
          Algorithms
          Human
          Kinematics
          Models, Theoretical
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N