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.
My main occupation is Neuroscience.
In the past, I have been interested on how the visual system processes natural scenes. To this end, I have recorded naturalistic movies using micro-cameras carried by cats while they were actively exploring a natural environment. I used these movies to train neuronal networks in an unsupervised manner and compared learnt features to the known properties of neurons in visual cortex. I also used these videos as stimuli during physiological recordings to gain insights on the principles of natural signal processing in the visual cortex.
Recently, I started working on how humans make generalizations based on what they have previously learnt. To this end, 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.
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