Takumi Deep learning Importance (IMAGE) Kobe University 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 Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.