Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
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
Spatial and Temporal Feature Extraction for Brain Decoding using CUDA
Date
2015-03-20
Author
Önal, Itır
Temizel, Alptekin
Yarman Vural, Fatoş Tunay
Metadata
Show full item record
Item Usage Stats
19
views
0
downloads
Cite This
Brain decoding is the process of predicting cognitive states from medical data which consists of thousands of voxels and hundreds of samples. Features representing spatial and temporal relationships among neighboring voxels are discriminative and these relationships are estimated by solving regression for all samples of all voxels. Finding the nearest neighbors of all voxels and computing regression that includes matrix multiplication, addition and inverse with GPU implementation has a high speedup over CPU implementation.
URI
https://hdl.handle.net/11511/86096
Collections
Department of Computer Engineering, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
I. Önal, A. Temizel, and F. T. Yarman Vural, “Spatial and Temporal Feature Extraction for Brain Decoding using CUDA,” 2015, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/86096.
