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Thomas B. Voigt: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Andreas Herzog, Karsten Kube, Bernd Michaelis, Anna D. de Lima, Thomas B. Voigt
    Connection strategies in neocortical networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:215-220 [Conf]
  2. Karsten Kube, Andreas Herzog, Bernd Michaelis, Ayoub Al-Hamadi, Anna D. de Lima, Thomas B. Voigt
    Spike-timing-dependent plasticity in 'small world' networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:601-606 [Conf]
  3. Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, Bernd Michaelis, Thoralf Opitz, Anna D. de Lima, Thomas B. Voigt
    Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:379-384 [Conf]
  4. R. Bharat Rao, Thomas B. Voigt, Thomas W. Fermanian
    Data Mining of Subjective Agricultural Data. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:244-251 [Conf]
  5. Andreas Herzog, Karsten Kube, Bernd Michaelis, Anna D. de Lima, Thomas B. Voigt
    Liquid State Machine by Spatially Coupled Oscillators. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2006, pp:980-983 [Conf]
  6. Andreas Herzog, Karsten Kube, Bernd Michaelis, Anna D. de Lima, Thomas B. Voigt
    Displaced strategies optimize connectivity in neocortical networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1121-1129 [Journal]

  7. Synchronization in Complex Dynamical Networks. [Citation Graph (, )][DBLP]


  8. Transition from initialization to working stage in biologically realistic networks. [Citation Graph (, )][DBLP]


  9. Simulation of a recurrent neurointerface with sparse electrical connections. [Citation Graph (, )][DBLP]


  10. Structural adaptation in young neocortical networks modeled by spatially coupled oscillators. [Citation Graph (, )][DBLP]


  11. Simulation of young neocortical networks by spatially coupled oscillators. [Citation Graph (, )][DBLP]


  12. Transmission of spatio-temporal patterns from biological to artificial neural networks by a multi-electrode array. [Citation Graph (, )][DBLP]


  13. Multi-population approach to approximate the development of neocortical networks. [Citation Graph (, )][DBLP]


  14. Improving fuzzy-based axon segmentation with genetic algorithms: The IEEE Congress on Evolutionary Computation. [Citation Graph (, )][DBLP]


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