Selim Onat

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.

Programming a Weather Station with Quartz Composer

This is a weather station clock programmed in Quartz Composer. There are 6 different parameters that are taken into consideration. The temperature, air pressure, rain drop, humidity, wind speed and direction. Weather information is downloaded from Osnabrueck University Physics Department's web page and an XML parser extracts different parameters. These parameters determine then the background color (reddish for warm and bluesh for cold), diameter of the turning rainbow wheel (high air pressure), global blurriness (humidity), speed of the wheel (average wind speed). Two examples illustrates how the clock behaves under different weather conditions: