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Successful behavior requires contextual modulation of learned "programs", that is, the retrieval or nonretrieval (inhibition) of behavioral elements depending on situative context. Here we report neural correlates of these elementary aspects of behavior as ...
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This paper presents GosSkip, a self organizing and fully distributed overlay that provides a scalable support to data storage and retrieval in dynamic environments. The structure of GosSkip, while initially possibly chaotic, eventually matches a perfect se ...
A Cyber-Workstation (CW) to study in vivo, real-time interactions between computational models and large-scale brain subsystems during behavioral experiments has been designed and implemented. The design philosophy seeks to directly link the in vivo neurop ...
Software Debugging is still one of the most challenging and time consuming aspects of software development. Monitoring the software behavior and finding the causes of this behavior are located at the center of debugging process. Although many tools and tec ...
The number of probabilistic approaches to ``classic'' distributed systems problems such as reliable broadcast, consensus, or leader election, has further increased recently. Probabilistic algorithms, possibly starting from probabilistic system models, have ...
In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to guarantee flexibility and robustness, necessary to have reliability in comple ...
A new method has been developed to obtain dynamic and structural information about peptide planes in proteins by a combination of measurements of weak short-range cross-correlation rates R(HNN/NC') that are due to concerted fluctuations of the HN-N and N-C ...
