Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An investigation of the neural correlates of purchase behavior through fNIRS
Date
2018-01-01
Author
Çakır, Murat Perit
Girisken, Yener
Yurdakul, Dicle
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
310
views
0
downloads
Cite This
Purpose This study aims to explore the plausibility of the functional near-infrared spectroscopy (fNIRS) methodology for neuromarketing applications and develop a neurophysiologically-informed model of purchasing behavior based on fNIRS measurements.
Subject Keywords
Decision-making
,
Neuromarketing
,
Purchasing behavior
,
Purchasing decision
,
fNIRS
,
Optical brain imaging
URI
https://hdl.handle.net/11511/30327
Journal
EUROPEAN JOURNAL OF MARKETING
DOI
https://doi.org/10.1108/ejm-12-2016-0864
Collections
Graduate School of Informatics, Article
Suggestions
OpenMETU
Core
An Information theoretic representation of brain connectivity for cognitive state classification using functional magnetic resonance imaging
Önal, Itır; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2013)
In this study, a new method for analyzing and representing the discriminative information, distributed in functional Magnetic Resonance Imaging (fMRI) data, is proposed. For this purpose, a local mesh with varying size is formed around each voxel, called the seed voxel. The relationships among each seed voxel and its neighbors are estimated using a linear regression equation by minimizing the expectation of the squared error. This squared error coming from linear regression is used to calculate various info...
Neural correlates of purchasing behavior in the prefrontal cortex an optical brain imaging study
Çakır, Murat Perit; Çakar, Tuna (null; 2015-07-23)
Existing neuroimaging studies in decision making predominantly employ the fMRI method. Despite its superior spatial resolution, fMRI is an expensive and impractical neuroimaging technology for purchasing behavior studies in the field. This study aims to explore the role of prefrontal cortex during purchasing behavior by utilizing functional near-infrared (fNIR) spectroscopy; a low-cost, non-invasive and portable optical brain imaging methodology. The findings suggest that fNIRS can be effectively used for d...
An Information Theoretic Approach to Classify Cognitive States Using fMRI
Onal, Itir; Ozay, Mete; Firat, Orhan; GİLLAM, İLKE; Yarman Vural, Fatoş Tunay (2013-11-13)
In this study, an information theoretic approach is proposed to model brain connectivity during a cognitive processing task, measured by functional Magnetic Resonance Imaging (fMRI). For this purpose, a local mesh of varying size is formed around each voxel. The arc weights of each mesh are estimated using a linear regression model by minimizing the squared error. Then, the optimal mesh size for each sample, that represents the information distribution in the brain, is estimated by minimizing various inform...
An Emprical examination for collaborative nature of business process modeling
Fındık Coşkunçay, Duygu; Çakır, Murat Perit; Department of Information Systems (2016)
In this study, factors that contribute to interaction quality of collaborative group members in a computer-supported collaborative business process modeling context were investigated with qualitative and quantitative methods. Initially, interaction quality factors were identified based on a review of related theoretical frameworks and qualitative analysis of log files from a dual eye-tracking experiment. A rating scheme was then developed to assess the quality of group interactions. A research model, that r...
New dimension reduction technique for brain decoding
Afrasiyabi, Arman; Yarman Vural, Fatoş Tunay; Department of Biomedical Engineering (2015)
A new architecture for dimension reduction, analyzing and decoding the discriminative information, distributed in function Magnetic Resonance Imaging (fMRI) data, is proposed. This architecture called Sparse Temporal Mesh Model (STMM) which consists of three phases with a visualization tool. In phase A, a univariate voxel selection method, based on the assumption that voxels are independent, is used to select the informative voxels among the whole brain voxels. For this purpose, one of feature selection met...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. P. Çakır, Y. Girisken, and D. Yurdakul, “An investigation of the neural correlates of purchase behavior through fNIRS,”
EUROPEAN JOURNAL OF MARKETING
, pp. 224–243, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30327.