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)
Quality of Service issues of IP networks are mostly related to guaranteeing bandwidth for flows. However, many interactive real-time applications also require this bandwidth in an uninterrupted fashion. This paper describes how multi-path routing and local failure reaction can be employed to provide uninterrupted QoS to applications. We show how multi-path(More)
Future IP networks demand increased resilience. We present two new routing algorithms which provide at each node two or more next hops towards every destination, so that nodes can react quickly without further signaling to link or node failures. We derive formal requirements of this approach on the routing graphs, describe and analyze two algorithms and(More)
Predictive coding theories posit that neural networks learn statistical regularities in the environment for comparison with actual outcomes, signaling a prediction error (PE) when sensory deviation occurs. PE studies in audition have capitalized on low-frequency event-related potentials (LF-ERPs), such as the mismatch negativity. However, local cortical(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)