"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". (ScitechDaily, Breakthrough AI Predicts Mouse Movement With 95% Accuracy Using Brain Data) The breakthrough in AI is to predict what mice will do next by measuring brain activity. This means the AI and morphing neural networks can read the mind. The system must take the EEG from the mice. Then that system will follow the mice's activity using cameras. After that, it will connect that EEG with the activity that it sees from images. In laboratories, the morp...