Neural Correlates of Computational Fluency Training with a Mobile Game An Optical Brain Imaging Study

Date

2016-04-08

Author

Çakır, Murat Perit
Çakır, Nur

Metadata

Show full item record

Item Usage Stats

44
views

0
downloads

URI

https://hdl.handle.net/11511/74138

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Neural Correlates of Computational Fluency Training with a Mobile Game An Optical Brain Imaging Study 3 Çakır, Murat Perit; Çakır, Nur (2016-04-08)
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...
Neural Correlates of Purchasing Decisions in an Ecologically Plausible Shopping Scenario with Mobile fNIR Technology Çakır, Murat Perit; Girisken, Yener; Demircioglu, Ari K. (2016-07-22) In this paper we present our preliminary findings for the neural correlates of purchasing decisions made in a computerized setting as well as in an ecologically plausible supermarket environment. Participants who were randomly recruited from a database of typical customers maintained by a marketing consultancy company were given a specific budget and asked to make purchasing decisions for basic grocery items in two separate conditions. In the first condition, participants made their decisions in a computeri...
Neural identification of dynamic systems on FPGA with improved PSO learning Cavuslu, Mehmet Ali; KARAKUZU, CİHAN; KARAKAYA, FUAT (2012-09-01) This work introduces hardware implementation of artificial neural networks (ANNs) with learning ability on field programmable gate array (FPGA) for dynamic system identification. The learning phase is accomplished by using the improved particle swarm optimization (PSO). The improved PSO is obtained by modifying the velocity update function. Adding an extra term to the velocity update function reduced the possibility of stucking in a local minimum. The results indicates that ANN, trained using improved PSO a...
Neural correlates of purchasing decisions in a supermarket setting with mobile fNIR and glass eye-tracker technologies Girişken, Yener; Çakar, Tuna; Çakır, Murat Perit; Demircioğlu, Ari (2017-05-08)

Citation Formats

M. P. Çakır and N. Çakır, “Neural Correlates of Computational Fluency Training with a Mobile Game An Optical Brain Imaging Study,” 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/74138.