 | 2009 |
|---|
| 35 |       | Thomas Wennekers:
On the Natural Hierarchical Composition of Cliques in Cell Assemblies.
Cognitive Computation 1(2): 128-138 (2009) |
| 34 | | Max Garagnani,
Thomas Wennekers,
Friedemann Pulvermüller:
Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network.
Cognitive Computation 1(2): 160-176 (2009) |
| 33 | | Vassilis Cutsuridis,
Thomas Wennekers,
Bruce P. Graham,
Imre Vida,
John G. Taylor:
Microcircuits - Their structure, dynamics and role for brain function.
Neural Networks 22(8): 1037-1038 (2009) |
| 32 | | Andrew Symes,
Thomas Wennekers:
Spatiotemporal dynamics in the cortical microcircuit: A modelling study of primary visual cortex layer 2/3.
Neural Networks 22(8): 1079-1092 (2009) |
| 31 | | Vassilis Cutsuridis,
Thomas Wennekers:
Hippocampus, microcircuits and associative memory.
Neural Networks 22(8): 1120-1128 (2009) |
| 2007 |
|---|
| 30 | | E. Olbrich,
Thomas Wennekers:
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling.
Neurocomputing 70(10-12): 1848-1852 (2007) |
| 29 | | Max Garagnani,
Thomas Wennekers,
Friedemann Pulvermüller:
A neuronal model of the language cortex.
Neurocomputing 70(10-12): 1914-1919 (2007) |
| 28 | | Thomas Wennekers:
A cell assembly model for complex behaviour.
Neurocomputing 70(10-12): 1988-1992 (2007) |
| 2006 |
|---|
| 27 | | Thomas Wennekers,
Nihat Ay:
A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions.
Neurocomputing 69(10-12): 1199-1202 (2006) |
| 2005 |
|---|
| 26 | | Thomas Wennekers,
Nihat Ay:
Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule.
Neural Computation 17(10): 2258-2290 (2005) |
| 25 | | Thomas Wennekers,
Nihat Ay:
Stochastic interaction in associative nets.
Neurocomputing 65-66: 387-392 (2005) |
| 24 | | Friedrich T. Sommer,
Thomas Wennekers:
Synfire chains with conductance-based neurons: internal timing and coordination with timed input.
Neurocomputing 65-66: 449-454 (2005) |
| 2004 |
|---|
| 23 | | Thomas Wennekers:
Separation of Spatio-Temporal Receptive Fields into Sums of Gaussian Components.
Journal of Computational Neuroscience 16(1): 27-38 (2004) |
| 2003 |
|---|
| 22 | | Nihat Ay,
Thomas Wennekers:
Dynamical properties of strongly interacting Markov chains.
Neural Networks 16(10): 1483-1497 (2003) |
| 21 | | Thomas Wennekers,
Nihat Ay:
Temporal Infomax on Markov chains with input leads to finite state automata.
Neurocomputing 52-54: 431-436 (2003) |
| 20 | | Nihat Ay,
Thomas Wennekers:
Temporal infomax leads to almost deterministic dynamical systems.
Neurocomputing 52-54: 461-466 (2003) |
| 2002 |
|---|
| 19 | | Thomas Wennekers:
Nonlinear Analysis of Simple Cell Tuning in Visual Cortex.
ICANN 2002: 63-68 |
| 18 | | Thomas Wennekers:
Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models.
Neural Computation 14(8): 1801-1825 (2002) |
| 17 | | Andreas Knoblauch,
Thomas Wennekers,
Friedrich T. Sommer:
Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory?
Neurocomputing 44-46: 19-24 (2002) |
| 16 | | Thomas Wennekers:
Nonlinear analysis of spatio-temporal receptive fields: I. Dynamic approximation method.
Neurocomputing 44-46: 201-206 (2002) |
| 15 | | Thomas Wennekers:
Nonlinear analysis of spatio-temporal receptive fields: II. Dynamic properties of V1 simple cells.
Neurocomputing 44-46: 207-212 (2002) |
| 14 | | Thomas Wennekers:
Nonlinear analysis of spatio-temporal receptive fields: III. RF-reconstruction from mean-field approximations.
Neurocomputing 44-46: 213-218 (2002) |
| 13 | | Thomas Wennekers:
Nonlinear analysis of spatio-temporal receptive fields: IV. Generic tuning properties for rectifying rate-functions.
Neurocomputing 44-46: 219-223 (2002) |
| 2001 |
|---|
| 12 |  | Katrin Suder,
Florentin Wörgötter,
Thomas Wennekers:
Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex.
Neural Computation 13(1): 139-159 (2001) |
| 11 | | Thomas Wennekers:
Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models.
Neural Computation 13(8): 1721-1747 (2001) |
| 10 | | Friedrich T. Sommer,
Thomas Wennekers:
Associative memory in networks of spiking neurons.
Neural Networks 14(6-7): 825-834 (2001) |
| 9 | | Thomas Wennekers,
Frank Pasemann:
Generalized types of synchronization in networks of spiking neurons.
Neurocomputing 38-40: 1037-1042 (2001) |
| 8 | | Friedrich T. Sommer,
Thomas Wennekers:
Associative memory in a pair of cortical cell groups with reciprocal projections.
Neurocomputing 38-40: 1575-1580 (2001) |
| 7 | | Thomas Wennekers:
Nonlinear analysis of orientation tuning: Stationary properties of simple cells in V1.
Neurocomputing 38-40: 439-444 (2001) |
| 2000 |
|---|
| 6 | | Katrin Suder,
Florentin Wörgötter,
Thomas Wennekers:
Neural field description of state-dependent visual receptive field changes.
Neurocomputing 32-33: 545-551 (2000) |
| 5 | | Thomas Wennekers:
Dynamics of spatio-temporal patterns in associative networks of spiking neurons.
Neurocomputing 32-33: 597-602 (2000) |
| 1999 |
|---|
| 4 | | Katrin Suder,
Florentin Wörgötter,
Thomas Wennekers:
Neural field description of state-dependent receptive field changes in the visual cortex.
ESANN 1999: 171-176 |
| 3 | | Thomas Wennekers,
Friedrich T. Sommer:
Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons.
Neurocomputing 26-27: 573-578 (1999) |
| 2 | | Thomas Wennekers,
Günther Palm:
How imprecise is neuronal synchronization?
Neurocomputing 26-27: 579-585 (1999) |
| 1996 |
|---|
| 1 | | Thomas Wennekers,
Günther Palm:
Controlling the Speed of Synfire Chains.
ICANN 1996: 451-456 |
