Neurodynamics is a generative projection-triptych generated from graphical elements and movements recorded from the physical world. These abstract trajectories of elementary structure are combined with the fluid gradients and colors of photographic elements by experimentation with machine learning algorithms such as style transfer. The emergent qualities of this technique develop particular aesthetics far away from its intended purpose. The mediation via an augmented algorithmic system, plays a crucial role for the visual aesthetics of these abstract computer graphics.
"Style is more than a simple matter of aesthetics because it unfolds a way of making sense sensible." —Roy Ascott
Moreover, artist had very limited control over the outcome from the machine because the process is very time consuming, as it takes several hours to compute these images even on a very powerful computer. As it was mentioned, to make the animations colourful he used some of his personal photos, originals of which did not look very inspiring in artistic sense. However, what machine extracted out of them, is something special and unique. The spatial color and frequencies of intensities are changing on very detailed levels. Therefore, the usage of machine learning algorithms for production of the piece was also dictated by artist’s desire to change the whole process of creating the art piece by not only making it more generative but a playful exploration.