Christoph Reichert

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In our daily life we look at many scenes. Some are rapidly forgotten, but others we recognize later. We accurately predicted recognition success with natural scene photographs using single trial magnetoencephalography (MEG) measures of brain activation. Specifically, we demonstrate that MEG responses in the initial 600 ms following the onset of scene(More)
It is crucial to understand what brain signals can be decoded from single trials with different recording techniques for the development of Brain-Machine Interfaces. A specific challenge for non-invasive recording methods are activations confined to small spatial areas on the cortex such as the finger representation of one hand. Here we study the(More)
BACKGROUND Different types of bioabsorbable and nonresorbable membranes have been widely used for guided tissue regeneration (GTR) with its ultimate goal of regenerating lost periodontal structures. The purpose of the present study was to evaluate the biological effects of various bioabsorbable and nonresorbable membranes in cultures of primary human(More)
Making network-centric context information available to hosts, network nodes and users allows them to make more meaningful decisions to accomplishing a self-organising behaviour. Instead of implicitly offering services as today we suggest a shift towards explicitly expressing context information that can be used with user context information to allow(More)
Perception is an active process that interprets and structures the stimulus input based on assumptions about its possible causes. We use real-time functional magnetic resonance imaging (rtfMRI) to investigate a particularly powerful demonstration of dynamic object integration in which the same physical stimulus intermittently elicits categorically different(More)
In this paper we present a system that allows patients with motor disabilities to grasp everyday objects. A closed-loop Brain– Machine Interface (BMI) instantiates a connection between the human central nervous system and an industry robot designed to execute the grasping task. Two central problems were addressed in this paper, namely I) the implementation(More)