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Thomas Wennekers: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Katrin Suder, Florentin Wörgötter, Thomas Wennekers
    Neural field description of state-dependent receptive field changes in the visual cortex. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:171-176 [Conf]
  2. Thomas Wennekers
    Nonlinear Analysis of Simple Cell Tuning in Visual Cortex. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:63-68 [Conf]
  3. Thomas Wennekers, Günther Palm
    Controlling the Speed of Synfire Chains. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:451-456 [Conf]
  4. Nihat Ay, Thomas Wennekers
    Temporal infomax leads to almost deterministic dynamical systems. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:461-466 [Journal]
  5. Andreas Knoblauch, Thomas Wennekers, Friedrich T. Sommer
    Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory? [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:19-24 [Journal]
  6. Friedrich T. Sommer, Thomas Wennekers
    Associative memory in a pair of cortical cell groups with reciprocal projections. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1575-1580 [Journal]
  7. Friedrich T. Sommer, Thomas Wennekers
    Synfire chains with conductance-based neurons: internal timing and coordination with timed input. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:449-454 [Journal]
  8. Katrin Suder, Florentin Wörgötter, Thomas Wennekers
    Neural field description of state-dependent visual receptive field changes. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:545-551 [Journal]
  9. Thomas Wennekers
    Dynamics of spatio-temporal patterns in associative networks of spiking neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:597-602 [Journal]
  10. Thomas Wennekers
    Nonlinear analysis of orientation tuning: Stationary properties of simple cells in V1. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:439-444 [Journal]
  11. Thomas Wennekers
    Nonlinear analysis of spatio-temporal receptive fields: I. Dynamic approximation method. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:201-206 [Journal]
  12. Thomas Wennekers
    Nonlinear analysis of spatio-temporal receptive fields: II. Dynamic properties of V1 simple cells. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:207-212 [Journal]
  13. Thomas Wennekers
    Nonlinear analysis of spatio-temporal receptive fields: III. RF-reconstruction from mean-field approximations. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:213-218 [Journal]
  14. Thomas Wennekers
    Nonlinear analysis of spatio-temporal receptive fields: IV. Generic tuning properties for rectifying rate-functions. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:219-223 [Journal]
  15. Thomas Wennekers, Nihat Ay
    Temporal Infomax on Markov chains with input leads to finite state automata. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:431-436 [Journal]
  16. Thomas Wennekers, Nihat Ay
    Stochastic interaction in associative nets. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:387-392 [Journal]
  17. Thomas Wennekers, Frank Pasemann
    Generalized types of synchronization in networks of spiking neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1037-1042 [Journal]
  18. Thomas Wennekers, Günther Palm
    How imprecise is neuronal synchronization? [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:579-585 [Journal]
  19. Thomas Wennekers, Friedrich T. Sommer
    Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:573-578 [Journal]
  20. Thomas Wennekers, Nihat Ay
    A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1199-1202 [Journal]
  21. Katrin Suder, Florentin Wörgötter, Thomas Wennekers
    Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:1, pp:139-159 [Journal]
  22. Thomas Wennekers
    Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:8, pp:1721-1747 [Journal]
  23. Thomas Wennekers
    Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:8, pp:1801-1825 [Journal]
  24. Thomas Wennekers, Nihat Ay
    Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:10, pp:2258-2290 [Journal]
  25. Nihat Ay, Thomas Wennekers
    Dynamical properties of strongly interacting Markov chains. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:10, pp:1483-1497 [Journal]
  26. Friedrich T. Sommer, Thomas Wennekers
    Associative memory in networks of spiking neurons. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:6-7, pp:825-834 [Journal]
  27. Max Garagnani, Thomas Wennekers, Friedemann Pulvermüller
    A neuronal model of the language cortex. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1914-1919 [Journal]
  28. Thomas Wennekers
    A cell assembly model for complex behaviour. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1988-1992 [Journal]
  29. E. Olbrich, Thomas Wennekers
    Dynamics of parameters of neurophysiological models from phenomenological EEG modeling. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1848-1852 [Journal]

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