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.

Export SPM results table to spreadsheet for publication

When using SPM (Statistical Parametric Mapping) for the analysis of fMRI data, one soon or later needs to export the numbers in the "SPM Results Table" to a spreadsheet format to include in a publication. While the SPM Table is neatly organized within a Matlab Figure, it is not easy to export the numbers to a friendly format.

SPM results table.
Here is a small Matlab function that simplifies the process. It neatly dumps all values in an SPM table into a .txt file.
Same table in the text editor.

You can then easily import this text file to your spreadsheet engine (excel, gdoc, etc.) as a tab separated .txt file. With little cosmetic efforts, it is ready to be inserted in your next publication.