Dominique Martinez

According to our database, Dominique Martinez authored at least 44 papers between 1993 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Automatic tracking of free-flying insects using a cable-driven robot.

Rémi Pannequin, Mélanie Jouaiti, Mohamed Boutayeb, Philippe Lucas, Dominique Martinez

Sci. Robotics, 2020

Simulation of Large Scale Neural Models With Event-Driven Connectivity Generation.

Nathalie Azevedo Carvalho, Sylvain Contassot-Vivier, Laure Buhry, Dominique Martinez

Frontiers Neuroinformatics, 2020

2019

Fast Measurements with MOX Sensors: A Least-Squares Approach to Blind Deconvolution.

Dominique Martinez, Javier Burgués, Santiago Marco

Sensors, 2019

2015

Multi-robot searching with sparse binary cues and limited space perception.

Siqi Zhang, Rongxin Cui, Dominique Martinez

Frontiers Robotics AI, 2015

Firing and intrinsic properties of antennal lobe neurons in the Noctuid moth Agrotis ipsilon.

Céline Lavialle-Defaix, Vincent Jacob, Christelle Monsempès, Sylvia Anton, Jean-Pierre Rospars, Dominique Martinez, Philippe Lucas

Biosyst., 2015

2014

Reactive Searching and Infotaxis in Odor Source Localization.

Nicole Voges, Antoine Chaffiol, Philippe Lucas, Dominique Martinez

PLoS Comput. Biol., 2014

Heterogeneity and Convergence of Olfactory First-Order Neurons Account for the High Speed and Sensitivity of Second-Order Neurons.

Jean-Pierre Rospars, Alexandre Grémiaux, David Jarriault, Antoine Chaffiol, Christelle Monsempès, Nina Deisig, Sylvia Anton, Philippe Lucas, Dominique Martinez

PLoS Comput. Biol., 2014

2013

Experimental evaluation of latency coding for gas recognition.

Jaber Hassan J. Al Yamani, Farid Boussaïd, Amine Bermak, Dominique Martinez

Proceedings of the 8th International Design and Test Symposium, 2013

2012

Bio-inspired gas recognition based on the organization of the olfactory pathway.

Jaber Hassan J. Al Yamani, Farid Boussaïd, Amine Bermak, Dominique Martinez

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011

Spike Latency Coding in Biologically Inspired Microelectronic Nose.

Hung Tat Chen, Kwan Ting Ng, Amine Bermak, Man Kay Law, Dominique Martinez

IEEE Trans. Biomed. Circuits Syst., 2011

Biologically Inspired Computation for Chemical Sensing.

Jordi Fonollosa, Agustin Gutierrez-Galvez, Anders Lansner, Dominique Martinez, Jean-Pierre Rospars, Romeo Beccherelli, Alexandre Perera, T. Pearce, P. Vershure, Krishna C. Persaud, Santiago Marco

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

On the Performance of Voltage Stepping for the Simulation of Adaptive, Nonlinear Integrate-and-Fire Neuronal Networks.

Mohamed Ghaith Kaabi, Arnaud Tonnelier, Dominique Martinez

Neural Comput., 2011

2010

Effectiveness and robustness of robot infotaxis for searching in dilute conditions.

Eduardo Martin Moraud, Dominique Martinez

Frontiers Neurorobotics, 2010

An integrated wireless electronic nose system integrating sensing and recognition functions.

Hung Tat Chen, Amine Bermak, Adam Khalifa, Dominique Martinez

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

A biologically inspired associative memory for artificial olfaction.

Miquel Tarzan-Lorente, Agustin Gutierrez-Galvez, Dominique Martinez, Santiago Marco

Proceedings of the International Joint Conference on Neural Networks, 2010

The role of neural synchrony and rate in high-dimensional input systems. The Antennal Lobe: A case study.

Miguel Lechon, Dominique Martinez, Paul F. M. J. Verschure, Sergi Bermúdez i Badia

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Voltage-stepping schemes for the simulation of spiking neural networks.

G. Zheng, Arnaud Tonnelier, Dominique Martinez

J. Comput. Neurosci., 2009

A Robust Spike-based Gas Identification Technique for SnO2 Gas Sensors.

Kwan Ting Ng, Hung Tat Chen, Farid Boussaïd, Amine Bermak, Dominique Martinez

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008

A Model of Stimulus-Specific Neural Assemblies in the Insect Antennal Lobe.

Dominique Martinez, Noelia Montejo

PLoS Comput. Biol., 2008

A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array.

Maxime Ambard, Bin Guo, Dominique Martinez, Amine Bermak

Proceedings of the 4th IEEE International Symposium on Electronic Design, 2008

2007

Adaptive-Quantization Digital Image Sensor for Low-Power Image Compression.

Chen Shoushun, Amine Bermak, Wang Yan, Dominique Martinez

IEEE Trans. Circuits Syst. I Regul. Pap., 2007

Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons.

Arnaud Tonnelier, Hana Belmabrouk, Dominique Martinez

Neural Comput., 2007

Effect of asynchronous GABA release on the oscillatory dynamics of inhibitory coupled neurons.

Thomas Voegtlin, Dominique Martinez

Neurocomputing, 2007

A New Video Compression Scheme Combining Conditional Replenishment and Address Event Representation.

Harry L. Hu, Amine Bermak, Dominique Martinez

Proceedings of the IEEE Workshop on Signal Processing Systems, 2007

A 4×4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications.

Bin Guo, Amine Bermak, Maxime Ambard, Dominique Martinez

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006

Inhibitory control of spike timing precision.

Maxime Ambard, Dominique Martinez

Neurocomputing, 2006

A biomimetic robot for tracking specific odors in turbulent plumes.

Dominique Martinez, Olivier Rochel, Etienne Hugues

Auton. Robots, 2006

A CMOS Image Sensor with combined adaptive-quantization and QTD-based on-chip compression processor.

Shoushun Chen, Amine Bermak, Wang Yan, Dominique Martinez

Proceedings of the IEEE 2006 Custom Integrated Circuits Conference, 2006

2005

Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe.

Dominique Martinez

Neural Comput., 2005

Encoding in a network of sparsely connected spiking neurons: application to locust olfaction.

Etienne Hugues, Dominique Martinez

Neurocomputing, 2005

Detailed and abstract phase-locked attractor network models of early olfactory systems.

Dominique Martinez

Biol. Cybern., 2005

2003

Nonlinear blind source separation using kernels.

Dominique Martinez, Alistair Bray

IEEE Trans. Neural Networks, 2003

A compact 3D VLSI classifier using bagging threshold network ensembles.

Amine Bermak, Dominique Martinez

IEEE Trans. Neural Networks, 2003

A very high density VLSI implementation of threshold network ensembles (TNE).

Amine Bermak, Dominique Martinez

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

An event-driven framework for the simulation of networks of spiking neurons.

Olivier Rochel, Dominique Martinez

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

Kernel-Based Extraction of Slow Features: Complex Cells Learn Disparity and Translation Invariance from Natural Images.

Alistair Bray, Dominique Martinez

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Kernel Temporal Component Analysis.

Dominique Martinez, Alistair Bray

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

A compact multi-chip-module implementation of a multi-precision neural network classifier.

Amine Bermak, Dominique Martinez

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

2000

Support Vector Committee Machines.

Dominique Martinez, Gilles Millerioux

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1998

Neural tree density estimation for novelty detection.

Dominique Martinez

IEEE Trans. Neural Networks, 1998

1996

Competitive learning algorithms for channel optimized vector quantizers.

Dominique Martinez, Woodward Yang

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization.

Dominique Martinez, Marc M. Van Hulle

Neural Networks, 1995

1994

On a novel unsupervised competitive learning algorithm for scalar quantization.

Marc M. Van Hulle, Dominique Martinez

IEEE Trans. Neural Networks, 1994

1993

On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle.

Marc M. Van Hulle, Dominique Martinez

Neural Comput., 1993