Selim Onat

I am a neuroscientist working currently on how humans make generalizations based on what they have previously learnt. To do so, I am using a variety of methodologies including fMRI (1), autonomous (2), as well as eye-movement recordings (3).

This research emanates from the well-established field of "stimulus generalization" following mainly the "lineage" of Hovland, Hull and Roger Shepard (4), and including the more recent computational work of Josua Tenenbaum (5). Furthermore, it integrates work on anxiety disorders, as it is believed that these mechanisms are impaired in people suffering from anxiety problems.

In the past, I have been working on how the nervous system processes natural scenes both at the electrophysiological and sensory-motor level. Since the times of Hubel and Wiesel, visual processing had been
overwhelmingly studied with artificial stimuli such as moving edges. However this type of stimuli suffer from an ecological validity problem, as they only rarely occur in real-life. We therefore investigated cortical processing during viewing of natural movies. This previous work focused on visual processing using mostly the technique of voltage-sensitive dye imaging and eye-tracking.

Kaleidoscope + Stopmotion + Photographic Content + Minimal Electro

This was a project I was working on since long time. I am really happy that it is now here finally "published". These photos were taken as in a typical stop-motion setup. In Quartz Composer, I connected the speed of the photographic flow to the amplitude of audio signal at a given frequency band (usually low frequency, because beats are located there). This makes the video move faster with each beat. In addition to this, I applied different visual symmetry effects, known as kaleidoscope. The outcome is visually unusual when typical urban or natural scenes are used and fits perfectly to minimal electro. Two performances follow, the first illustrates the concept using photographs taken in an urban area, namely Osnabrück, Germany. And the second one, which uses images taken in a natural park.