A new study by Hüseyin Boyacı has been published in Journal of Vision. In early retinotopic areas of the human visual system,information from the left and right visual hemifields 2 (VHFs) is processed contralaterally in two hemispheres. Despite this segregation, we have the perceptual experience of a unified, coherent, and uninterrupted single visual field. How exactly the visual system integrates information from the two VHFs and achieves this perceptual experience still remains largely unknown. In this study using fMRI,  candidate areas that are involved in interhemispheric integration and the perceptual experience of a unified, global motion across VHFs has been explored. The full article can be found here:

Ilhan Atagun of Ataturk hospital working with a group of investigators including Oktay Algin of UMRAM investigated certain regions of the brain using magnetic resonance spectroscopy in patients with psychological disorders.  In the study on 30 patients they found abnormalities in chemistry of their brain. The title of the associated manuscript is "Investigation of Heschl's gyrus and planum temporale in patients with schizophrenia and bipolar disorder: A proton magnetic resonance spectroscopy study". Authors are M.İ. Atagün, E.M. Şıkoğlu, S.S. Cana, G. Karakaş-Uğurlu, S. Ulusoy-Kaymak, A. Çayköylü, O. Algın, M.L. Phillips, C.M.Moore, D. Öngür. The article was published in  Schizophr. Res. in 2014.

A new artice by Huseyin Boyaci has been published in Journal of Vision. In this study the effects of contiguity and figure-ground organization on the area rule of lightness is investigated.In a simple two-dimensional (2D) display composed of two uniform surfaces with different luminances, the lightness of the darker surface varies as a function of its relative area while its luminance is held constant (Gilchrist & Radonjić, 2009; Li & Gilchrist, 1999). This phenomenon is known as the area rule of lightness, and although it is extensively studied in the literature, the underlying principles are still largely unknown. The article can be found in the link:

Asst. Prof. Katja Doerschner, a faculty member of UMRAM, Department of Psychology and Neuroscience Program at Bilkent University, has been recently awarded Sofja Kovalevskaja Award from Alexander von Humboldt Foundation. She is among the 11 scientists this year who has been awarded within the framework of this interdisciplinary grant. The objective of  Sofja Kovalevskaja Award is to support young exceptionally promising researchers from abroad and enable them to establish their own junior research groups at research institutions in Germany. Dr. Doerchner will be at Justus Liebig University Giessen, Germany for 5 years. We would like to congratulate Dr. Doerschner for this prestigious prize and wish best for her academic life. 

Assoc. Prof. Hüseyin Boyacı, a faculty member of UMRAM, Department of Psychology and Neuroscience Program at Bilkent University, has been recently awarded Senior Fulbright Scholar Award by Turkish Fulbright Education Commission to pursue his research, teaching and training abroad during the 2014-15 academic year. Dr. Boyacı will be at the University of California, San Diego (UCSD) during this academic year. As UMRAM family, we would like to congratulate Dr. Boyaci and wish best for rest of his academic life.

A new Article by Prof. Dr. Kader Karli Oguz and Arzu Ceylan Has has been published in Psychiatry Research: Neuroimaging. In this study 12 weeks of clozapine treatment on DTI findings in patients with schizophrenia has been investigated and  the findings have been  compared with those in unaffected controls. After 12 weeks of treatment with clozapine, white matter FA was increased in widespread brain regions. This suggests that this treatment alters white matter microstructural integrity in patients with schizophrenia previously treated with typical and/or atypical antipsychotics and, in some locations, reverses a previous deficit. For more check (DOI: 10.1016/j.pscychresns.2014.06.001)

Successful identification of specularities in an image can be crucial for an artificial vision system when extracting the semantic content of an image or while interacting with the environment. Ozgur Yilmaz and Katja Doerschner developed an algorithm that relies on scale and rotation invariant feature extraction techniques and uses motion cues to detect and localize specular surfaces. They used appearance change in feature vectors to quantify the appearance distortion on specular surfaces, which has previously been shown to be a powerful indicator for specularity (Doerschner et al. in Curr Biol, 2011). The algorithm combines epipolar deviations (Swaminathan et al. in Lect Notes Comput Sci 2350:508–523, 2002) and appearance distortion, and succeeds in localizing specular objects in computer-rendered and real scenes, across a wide range of camera motions and speeds, object sizes and shapes, and performs well under image noise and blur conditions.

The corresponding article was published in Machine Vision and Applications, April 2014.