Christian Kaul

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Several theories suggest that people do not represent race when it does not signify group boundaries. However, race is often associated with visually salient differences in skin tone and facial features. In this study, we investigated whether race could be decoded from distributed patterns of neural activity in the fusiform gyri and early visual cortex when(More)
We investigated whether human subjects' ability to identify the direction of a brief pulse of coherent motion in a random-dot pattern (RDP) was influenced by: (a) maintaining in working memory the direction of motion of an RDP previously presented far from the pulse (feature-based working memory or FBWM, Experiment 1), (b) attending to the direction of an(More)
People perceive and evaluate others on the basis of social categories, such as race, gender and age. Initial processing of targets in terms of visually salient social categories is often characterized as inevitable. In the current study, we investigated the influence of processing goals on the representation of race in the visual processing stream.(More)
In many cases, biomaterials surfaces are desired to be resistant to protein adsorption. A system fulfilling this task in nature is the so-called glycocalyx. The glycocalyx is an outer layer on the cell membrane with bound glycoproteins and glycolipids, exposing a pattern of carbohydrate groups. There is a growing interest to mimic this glycocalyx layer to(More)
Nacrtak This paper deals with the use of Radio Frequency Identification (RFID) in the timber supply chain. A distinction is made between the use in motor-manual and highly mechanised timber supply chains. A technical specifications profile is elaborated for both types. As a result it can be summarised that the use of RFID in the timber supply chain is(More)
Several theories suggest that people do not represent race when it does not signify group boundaries. However, race is often associated with visually salient differences in skin tone and facial features. In this study, we investigated whether race could be decoded from distributed patterns of neural activity in the fusiform gyri and early visual cortex when(More)
It is investigated in how far support vector machines are suitable for filtering spam e-mail. Support vector machines have several advantages in comparison to other machine learning approaches and have been proven to be an efficient tool for classification of linguistically preprocessed text. A software program has been developed that learns the individual(More)
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