@article{Heuermann1999,
  author    = {Heuermann, Holger},
  title     = {Calibration procedures with series impedances and unknown lines simplify on-wafer measurements},
  series = {IEEE transactions on microwave theory and techniques : MTT ; a publication of the IEEE Microwave Theory and Techniques Society. 47 (1999), H. 1},
  journal   = {IEEE transactions on microwave theory and techniques : MTT ; a publication of the IEEE Microwave Theory and Techniques Society. 47 (1999), H. 1},
  isbn      = {0018-9480},
  pages     = {1 -- 5},
  year      = {1999},
  language  = {en}
}
@article{HeuermannSchiek1995,
  author    = {Heuermann, Holger and Schiek, B.},
  title     = {Error corrected impedance measurements with a network analyzer},
  series = {IEEE transactions on instrumentation and measurement : IM / Institute of Electrical and Electronics Engineers, Instrumentation and Measurement Group. 44 (1995), H. 2},
  journal   = {IEEE transactions on instrumentation and measurement : IM / Institute of Electrical and Electronics Engineers, Instrumentation and Measurement Group. 44 (1995), H. 2},
  isbn      = {0018-9456},
  pages     = {295 -- 299},
  year      = {1995},
  language  = {en}
}
@article{Stulpe1994,
  author    = {Stulpe, Werner},
  title     = {Some Remarks on Classical Representations of Quantum Mechanics},
  series = {Foundations of Physics . 24 (1994), H. 7},
  journal   = {Foundations of Physics . 24 (1994), H. 7},
  isbn      = {1572-9516},
  pages     = {1089 -- 1094},
  year      = {1994},
  language  = {en}
}
@article{KuhnertBialonskiNoenningetal.2013,
  author    = {Kuhnert, Marie-Therese and Bialonski, Stephan and Noenning, Nina and Mai, Heinke and Hinrichs, Hermann and Helmstaedter, Christoph and Lehnertz, Klaus},
  title     = {Incidental and intentional learning of verbal episodic material differentially modifies functional brain networks},
  series = {Plos one},
  volume    = {8},
  journal   = {Plos one},
  number    = {11},
  publisher = {PLOS},
  address   = {San Francisco},
  doi       = {10.1371/journal.pone.0080273},
  pages     = {e80273},
  year      = {2013},
  abstract  = {Learning- and memory-related processes are thought to result from dynamic interactions in large-scale brain networks that include lateral and mesial structures of the temporal lobes. We investigate the impact of incidental and intentional learning of verbal episodic material on functional brain networks that we derive from scalp-EEG recorded continuously from 33 subjects during a neuropsychological test schedule. Analyzing the networks' global statistical properties we observe that intentional but not incidental learning leads to a significantly increased clustering coefficient, and the average shortest path length remains unaffected. Moreover, network modifications correlate with subsequent recall performance: the more pronounced the modifications of the clustering coefficient, the higher the recall performance. Our findings provide novel insights into the relationship between topological aspects of functional brain networks and higher cognitive functions.},
  language  = {en}
}
@article{WolfSimonSchlick1998,
  author    = {Wolf, Martin R. and Simon, S. and Schlick, Christopher},
  title     = {Qualitative and Quantitative Analysis of Cooperation / Wolf, M. ; Simon, S. ; Schlick, C.},
  series = {Proceedings : May 26 - 29, 1998, Cannes (France) = Actes : 26 - 29 mai 1998 / INRIA, Institut National de Recherche en Informatique et en Automatique, Unit{\´e} de recherche ... F. Darses ..., eds},
  journal   = {Proceedings : May 26 - 29, 1998, Cannes (France) = Actes : 26 - 29 mai 1998 / INRIA, Institut National de Recherche en Informatique et en Automatique, Unit{\´e} de recherche ... F. Darses ..., eds},
  publisher = {-},
  address   = {Cannes},
  pages     = {1 -- 5},
  year      = {1998},
  language  = {en}
}
@article{Ritz2002,
  author    = {Ritz, Thomas},
  title     = {Personalized Information Services: Production and Distribution of these Services employing Mass-Customization},
  year      = {2002},
  language  = {en}
}
@article{UndenBeckerBongaertsetal.1994,
  author    = {Unden, G. and Becker, S. and Bongaerts, Johannes and Schirawski, J. and Six, S.},
  title     = {Oxygen regulated gene expression in facultatively anaerobic bacteria},
  series = {Antonie van Leeuwenhoek},
  volume    = {Vol. 66},
  journal   = {Antonie van Leeuwenhoek},
  number    = {Iss. 1-3},
  issn      = {0003-6072 (Print) ; 1572-9699 (online)},
  pages     = {3 -- 22},
  year      = {1994},
  language  = {en}
}
@article{DachwaldTsinas1994,
  author    = {Dachwald, Bernd and Tsinas, L.},
  title     = {A combined neural and genetic learning algorithm / Tsinas, L. ; Dachwald, B.},
  series = {Proceedings of the First IEEE Conference on Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence.},
  journal   = {Proceedings of the First IEEE Conference on Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence.},
  address   = {Orlando, Fl},
  isbn      = {0-7803-1899-4},
  pages     = {770 -- 774},
  year      = {1994},
  language  = {en}
}
@article{Fabo1998,
  author    = {Fabo, Sabine},
  title     = {Exhibition review: Documenta X and its media concept},
  series = {Leonardo},
  volume    = {31},
  journal   = {Leonardo},
  number    = {4},
  isbn      = {0024-094x},
  pages     = {330},
  year      = {1998},
  language  = {en}
}
@article{BialonskiWendlerLehnertz2011,
  author    = {Bialonski, Stephan and Wendler, Martin and Lehnertz, Klaus},
  title     = {Unraveling spurious properties of interaction networks with tailored random networks},
  series = {Plos one},
  volume    = {6},
  journal   = {Plos one},
  number    = {8},
  publisher = {Plos},
  address   = {San Francisco},
  doi       = {10.1371/journal.pone.0022826},
  pages     = {e22826},
  year      = {2011},
  abstract  = {We investigate interaction networks that we derive from multivariate time series with methods frequently employed in diverse scientific fields such as biology, quantitative finance, physics, earth and climate sciences, and the neurosciences. Mimicking experimental situations, we generate time series with finite length and varying frequency content but from independent stochastic processes. Using the correlation coefficient and the maximum cross-correlation, we estimate interdependencies between these time series. With clustering coefficient and average shortest path length, we observe unweighted interaction networks, derived via thresholding the values of interdependence, to possess non-trivial topologies as compared to Erd{\"o}s-R{\´e}nyi networks, which would indicate small-world characteristics. These topologies reflect the mostly unavoidable finiteness of the data, which limits the reliability of typically used estimators of signal interdependence. We propose random networks that are tailored to the way interaction networks are derived from empirical data. Through an exemplary investigation of multichannel electroencephalographic recordings of epileptic seizures - known for their complex spatial and temporal dynamics - we show that such random networks help to distinguish network properties of interdependence structures related to seizure dynamics from those spuriously induced by the applied methods of analysis.},
  language  = {en}
}