Using state-of-the-art AI techniques on neural signal decoding
Kerem Kurban
Ankara
- 0 Collaborators
By using state-of-the-art AI technology, I try to classify a various type of data such as fMRI, & ECoG which are available for everyone. ...learn more
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Student Developers for AI
Overview / Usage
So far, I was able to work on fMRI, ECoG and EEG data for a multitude of projects and try to build a model for each of them.
I am also looking for those who are interested in neural signal processing in any way. By using top-notch AI techniques, it is possible to create an outstanding diagnostic tool for medical doctors as well as researchers. If you are interested, contact me at keremkurban@hotmail.com
Previous works:
- rsfMRI meta-analysis on patients with ADHD (soon-to-be-published)
- classification of rsfMRI data on people who have taken anesthesia in their childhood
-Identification of M1 motor cortex neurons from macaque monkeys (Available as a tutorial in my Github account)
-identification of arousal or withdrawal responses by image stimuli via EEG