eprintid: 5926
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/59/26
datestamp: 2023-11-09 16:17:40
lastmod: 2023-11-09 16:17:40
status_changed: 2023-11-09 16:04:16
type: article
metadata_visibility: show
creators_name: Zafar, R.
creators_name: Malik, A.S.
creators_name: Kamel, N.
creators_name: Dass, S.C.
creators_name: Abdullah, J.M.
creators_name: Reza, F.
creators_name: Abdul Karim, A.H.
title: Decoding of visual information from human brain activity: A review of fMRI and EEG studies
ispublished: pub
keywords: brain computer interface; brain function; brain mapping; electroencephalogram; episodic memory; functional magnetic resonance imaging; human; image analysis; imagination; language processing; neuroimaging; Review; stimulus response; vision; visual cortex; visual information; visual memory; visual stimulation; working memory; blood; brain; electroencephalography; image processing; magnetoencephalography; nuclear magnetic resonance imaging; physiology; vascularization; visual system, oxygen, Brain; Electroencephalography; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Magnetoencephalography; Oxygen; Visual Pathways; Visual Perception
note: cited By 14
abstract: Brain is the command center for the body and contains a lot of information which can be extracted by using different non-invasive techniques. Electroencephalography (EEG), Magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) are the most common neuroimaging techniques to elicit brain behavior. By using these techniques different activity patterns can be measured within the brain to decode the content of mental processes especially the visual and auditory content. This paper discusses the models and imaging techniques used in visual decoding to investigate the different conditions of brain along with recent advancements in brain decoding. This paper concludes that it's not possible to extract all the information from the brain, however careful experimentation, interpretation and powerful statistical tools can be used with the neuroimaging techniques for better results. © 2015 Imperial College Press.
date: 2015
publisher: World Scientific
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934866296&doi=10.1142%2fS0219635215500089&partnerID=40&md5=39f6471e1363621956dc1902e880f932
id_number: 10.1142/S0219635215500089
full_text_status: none
publication: Journal of Integrative Neuroscience
volume: 14
number: 2
pagerange: 155-168
refereed: TRUE
issn: 02196352
citation:   Zafar, R. and Malik, A.S. and Kamel, N. and Dass, S.C. and Abdullah, J.M. and Reza, F. and Abdul Karim, A.H.  (2015) Decoding of visual information from human brain activity: A review of fMRI and EEG studies.  Journal of Integrative Neuroscience, 14 (2).  pp. 155-168.  ISSN 02196352