Augmented Iterations: Integrating neural activity in evolutionary computation for design

The principle of Augmented Iterations is to create shapes of progressively higher complexity, thanks to a fast neuronal selection of shapes among several possible evolving designs. Such a process is made possible by the use of a brain signal known as P300, which appears when a user perceives a rare and relevant stimulus and can be used for...