 | 2008 |
|---|
| 16 |       | 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 |
|---|
| 15 | | Bin Guo,
Amine Bermak,
Maxime Ambard,
Dominique Martinez:
A 4×4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications.
ISCAS 2007: 3554-3557 |
| 14 | | Harry. L. Hu,
Amine Bermak,
Dominique Martinez:
A New Video Compression Scheme Combining Conditional Replenishment and Address Event Representation.
SiPS 2007: 573-578 |
| 13 | | Arnaud Tonnelier,
Hana Belmabrouk,
Dominique Martinez:
Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons.
Neural Computation 19(12): 3226-3238 (2007) |
| 12 | | 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 |
|---|
| 11 | | Dominique Martinez,
Olivier Rochel,
Etienne Hugues:
A biomimetic robot for tracking specific odors in turbulent plumes.
Auton. Robots 20(3): 185-195 (2006) |
| 10 | | Maxime Ambard,
Dominique Martinez:
Inhibitory control of spike timing precision.
Neurocomputing 70(1-3): 200-205 (2006) |
| 2005 |
|---|
| 9 | | Dominique Martinez:
Detailed and abstract phase-locked attractor network models of early olfactory systems.
Biological Cybernetics 93(5): 355-365 (2005) |
| 8 | | 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) |
| 7 | | Etienne Hugues,
Dominique Martinez:
Encoding in a network of sparsely connected spiking neurons: application to locust olfaction.
Neurocomputing 65-66: 537-542 (2005) |
| 2003 |
|---|
| 6 | | Olivier Rochel,
Dominique Martinez:
An event-driven framework for the simulation of networks of spiking neurons.
ESANN 2003: 295-300 |
| 2002 |
|---|
| 5 |  | Dominique Martinez,
Alistair Bray:
Kernel Temporal Component Analysis.
ESANN 2002: 477-482 |
| 4 | | 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 |
|---|
| 3 | | Dominique Martinez,
Gilles Millerioux:
Support Vector Committee Machines.
ESANN 2000: 43-48 |
| 1995 |
|---|
| 2 | | 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) |
| 1993 |
|---|
| 1 | | Marc M. Van Hulle,
Dominique Martinez:
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle.
Neural Computation 5(6): 939-953 (1993) |
