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Zipfian regularities are important empirical laws in computational linguistics and natural language processing as well as several other areas of science. Zipf’s law of meaning distribution, one of the most important Zipfian laws, points out a power relation between frequencies of words and number of meanings that words have. In particular, frequent words have more […]

Discrete signal scaling is a basic operation of central importance that poses several challenges, which are usually addressed as an interpolation problem. Our approach, which does not involve interpolation in the conventional sense, provides a novel and unique perspective to this problem, and may be useful in a wide variety of theoretical and practical contexts. […]

Using dynamic dot displays, Schimid et al. show that a large network of brain regions respond to material motion. The dynamic dot displays are similar to those in biological motion studies, and they allow researchers to isolate motion cues from all other cues to material properties (e.g. surface reflectance). Interestingly, the areas that are found […]

Prior knowledge and expectations play a substantial role in recognition and decision-making processes by governing the interpretation of the sensory stimulus and allowing us to make fast and accurate decisions. Whether and how early sensory processes are affected by expectations, however, has remained a controversial issue. Using a behavioral experiment and a recursive Bayesian model, […]

One of our former PhD student Koray Ertan, has received 2020 Serhat Ozyar Young Scientist Award. ”Design of Z-Gradient Array and Applications in Magnetic Resonance Imaging” Koray Ertan completed his continuing doctoral thesis on “Design of Z-Gradient Array and Applications in Magnetic Resonance Imaging” in 2019 under the thesis advisory of Prof Dr Ergin Atalar […]