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
Link To Document :
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