Takumi Deep learning Importance (IMAGE)
Caption
A new “end-to-end” deep learning method for the prediction of behavioral states uses whole-cortex functional imaging that do not require preprocessing or pre-specified features. Developed by medical student AJIOKA Takehiro and a team led by Kobe University’s TAKUMI Toru, their approach also allows them to identify which brain regions are most relevant for the algorithm (pictured). The ability to extract this information lays the foundation for future developments of brain-machine interfaces.
Credit
AJIOKA Takehiro
Usage Restrictions
Credit must be given to the creator.
License
CC BY