| 2008 |
|---|
| 13 | EE | Maxime Ambard,
Bin Guo,
Dominique Martinez,
Amine Bermak:
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array.
DELTA 2008: 394-397 |
| 2007 |
|---|
| 12 | EE | Bin Guo,
Amine Bermak,
Maxime Ambard,
Dominique Martinez:
A 4×4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications.
ISCAS 2007: 3554-3557 |
| 11 | EE | Thomas Voegtlin,
Dominique Martinez:
Effect of asynchronous GABA release on the oscillatory dynamics of inhibitory coupled neurons.
Neurocomputing 70(10-12): 2079-2084 (2007) |
| 2006 |
|---|
| 10 | EE | Dominique Martinez,
Olivier Rochel,
Etienne Hugues:
A biomimetic robot for tracking specific odors in turbulent plumes.
Auton. Robots 20(3): 185-195 (2006) |
| 9 | EE | Maxime Ambard,
Dominique Martinez:
Inhibitory control of spike timing precision.
Neurocomputing 70(1-3): 200-205 (2006) |
| 2005 |
|---|
| 8 | EE | Dominique Martinez:
Detailed and abstract phase-locked attractor network models of early olfactory systems.
Biological Cybernetics 93(5): 355-365 (2005) |
| 7 | EE | Dominique Martinez:
Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe.
Neural Computation 17(12): 2548-2570 (2005) |
| 6 | EE | Etienne Hugues,
Dominique Martinez:
Encoding in a network of sparsely connected spiking neurons: application to locust olfaction.
Neurocomputing 65-66: 537-542 (2005) |
| 2003 |
|---|
| 5 | EE | Olivier Rochel,
Dominique Martinez:
An event-driven framework for the simulation of networks of spiking neurons.
ESANN 2003: 295-300 |
| 2002 |
|---|
| 4 | | Dominique Martinez,
Alistair Bray:
Kernel Temporal Component Analysis.
ESANN 2002: 477-482 |
| 3 | EE | Alistair Bray,
Dominique Martinez:
Kernel-Based Extraction of Slow Features: Complex Cells Learn Disparity and Translation Invariance from Natural Images.
NIPS 2002: 253-260 |
| 2000 |
|---|
| 2 | EE | Dominique Martinez,
Gilles Millerioux:
Support Vector Committee Machines.
ESANN 2000: 43-48 |
| 1995 |
|---|
| 1 | EE | Dominique Martinez,
Marc M. Van Hulle:
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization.
Neural Networks 8(6): 891-900 (1995) |
