• DocumentCode
    120693
  • Title

    Research issues and mining techniques in Brain Informatics

  • Author

    Kaur, Prabhdeep ; Mangat, Veenu

  • Author_Institution
    U.I.E.T., Panjab Univ., Chandigarh, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    590
  • Lastpage
    594
  • Abstract
    This paper discusses the novel area of Brain Informatics (BI). BI is an interdisciplinary field that studies Information processing and Neuroscience. First section of the paper discusses this area and identifies major research issues associated with BI. Second section provides a comprehensive literature survey of neuroimaging techniques and their pros and cons. It then relates the most promising technique with its applications in BI. The third section discusses the process of classification. The design of classifiers in the context of BI and use of classification in BI is then discussed. The fifth section discusses the applications of analysis of neuroimaging data. The final section concludes the paper and provides directions for future work.
  • Keywords
    bioinformatics; brain; data mining; neurophysiology; brain informatics; information processing; mining technique; neuroimaging technique; neuroscience; Bismuth; Electroencephalography; Neuroimaging; Neurons; Positron emission tomography; Single photon emission computed tomography; Training; Brain Informatics; Classifiers; Information processing; Neuroimaging; Neuroscience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779391
  • Filename
    6779391