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ORCIDMathias Quoy
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2020 – today
- 2024
[j20]Juliette Courson
, Mathias Quoy, Yulia Timofeeva, Thanos Manos:
An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control. Frontiers Comput. Neurosci. 18 (2024)- [c27]Xiaodan Chen, Alexandre Pitti, Mathias Quoy, Nancy F. Chen:
Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual Learning. ICANN (7) 2024: 16-32 - 2023
- [i6]Juliette Courson, Thanos Manos, Mathias Quoy:
Networks' modulation: How different structural network properties affect the global synchronization of coupled Kuramoto oscillators. CoRR abs/2303.03099 (2023) - 2022
- [j19]Louis Annabi, Alexandre Pitti, Mathias Quoy:
Continual Sequence Modeling With Predictive Coding. Frontiers Neurorobotics 16: 845955 (2022) - [j18]Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna, Wassim Swaileh, Claudio Weidmann:
In Search of a Neural Model for Serial Order: A Brain Theory for Memory Development and Higher Level Cognition. IEEE Trans. Cogn. Dev. Syst. 14(2): 279-291 (2022) - [c26]Louis Annabi, Alexandre Pitti, Mathias Quoy:
On the relationship between variational inference and auto-associative memory. NeurIPS 2022 - [i5]Louis Annabi, Alexandre Pitti, Mathias Quoy:
On the Relationship Between Variational Inference and Auto-Associative Memory. CoRR abs/2210.08013 (2022) - 2021
- [j17]Louis Annabi, Alexandre Pitti, Mathias Quoy:
Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference. Neural Networks 143: 638-656 (2021) - [j16]Alexandre Pitti, Mathias Quoy, Sofiane Boucenna, Catherine Lavandier:
Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization. PLoS Comput. Biol. 17(2) (2021) - [c25]Louis Annabi, Alexandre Pitti, Mathias Quoy:
A Predictive Coding Account for Chaotic Itinerancy. ICANN (1) 2021: 581-592 - [i4]Louis Annabi, Alexandre Pitti, Mathias Quoy:
Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference. CoRR abs/2104.09163 (2021) - [i3]Louis Annabi, Alexandre Pitti, Mathias Quoy:
A Predictive Coding Account for Chaotic Itinerancy. CoRR abs/2106.08937 (2021) - 2020
- [j15]Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna:
Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE). Neural Networks 121: 242-258 (2020) - [c24]Louis Annabi, Alexandre Pitti, Mathias Quoy:
Autonomous learning and chaining of motor primitives using the Free Energy Principle. IJCNN 2020: 1-8 - [i2]Louis Annabi, Alexandre Pitti, Mathias Quoy:
Autonomous learning and chaining of motor primitives using the Free Energy Principle. CoRR abs/2005.05151 (2020) - [i1]Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna:
Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself. CoRR abs/2005.11203 (2020)
2010 – 2019
- 2018
- [j14]Hai-Hong Phan, Ngoc-Son Vu, Vu-Lam Nguyen, Mathias Quoy:
Action recognition based on motion of oriented magnitude patterns and feature selection. IET Comput. Vis. 12(5): 735-743 (2018) - 2017
- [c23]Alex Pitti, Philippe Gaussier, Mathias Quoy:
INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes. ISNN (1) 2017: 421-428 - 2016
- [c22]Jean-Paul Banquet, Souheil Hanoune, Philippe Gaussier, Mathias Quoy:
From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops. ICANN (1) 2016: 238-247 - [c21]Hai-Hong Phan, Ngoc-Son Vu, Vu-Lam Nguyen, Mathias Quoy:
Motion of Oriented Magnitudes Patterns for Human Action Recognition. ISVC (2) 2016: 168-177 - 2015
- [j13]Sylvain Mahé, Raphael Braud, Philippe Gaussier, Mathias Quoy, Alexandre Pitti:
Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation. Neural Networks 62: 102-111 (2015) - 2014
- [c20]Souheil Hanoune, Philippe Gaussier, Mathias Quoy:
Cortical chunks learning for action selection in a complex task. ICDL-EPIROB 2014: 396-401 - [c19]Pierre Delarboulas, Philippe Gaussier, Ramesh Caussy, Mathias Quoy:
Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields. SAB 2014: 132-143 - 2013
- [j12]Julien Hirel, Philippe Gaussier, Mathias Quoy, Jean-Paul Banquet, Etienne Save, Bruno Poucet:
The hippocampo-cortical loop: Spatio-temporal learning and goal-oriented planning in navigation. Neural Networks 43: 8-21 (2013) - [c18]Alexandre Pitti, Yasuo Kuniyoshi, Mathias Quoy, Philippe Gaussier:
Explaining neonate facial imitation from the sensory alignment in the superior colliculus. ICDL-EPIROB 2013: 1-2 - [c17]Antoine de Rengervé, Souheil Hanoune, Pierre Andry, Mathias Quoy, Philippe Gaussier:
Building specific contexts for on-line learning of dynamical tasks through non-verbal interaction. ICDL-EPIROB 2013: 1-6 - 2012
- [c16]Souheil Hanoune, Mathias Quoy, Philippe Gaussier:
An architecture for online chunk learning and planning in complex navigation and manipulation tasks. ICDL-EPIROB 2012: 1-6 - 2011
- [c15]Antoine de Rengervé, Julien Hirel, Pierre Andry, Mathias Quoy, Philippe Gaussier:
On-line learning and planning in a pick-and-place task demonstrated through body manipulation. ICDL-EPIROB 2011: 1-6 - [c14]Julien Hirel, Philippe Gaussier, Mathias Quoy:
Biologically inspired neural networks for spatio-temporal planning in robotic navigation tasks. ROBIO 2011: 1627-1632 - 2010
- [j11]Philippe Laroque, Nathalie Gaussier, Nicolas Cuperlier, Mathias Quoy, Philippe Gaussier:
Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents. Paladyn J. Behav. Robotics 1(1): 25-36 (2010) - [c13]Philippe Laroque, Florence Pirard, Frederic Archambault, Mathias Quoy, Philippe Gaussier:
Comparing Multi-agent System and Mixed-Integer Programming Approaches on a Simple Optimization Problem. IC-AI 2010: 977-981 - [c12]Julien Hirel, Philippe Gaussier, Mathias Quoy:
Model of the Hippocampal Learning of Spatio-temporal Sequences. ICANN (3) 2010: 345-351 - [c11]Julien Hirel, Philippe Gaussier, Mathias Quoy, Jean-Paul Banquet:
Why and How Hippocampal Transition Cells Can Be Used in Reinforcement Learning. SAB 2010: 359-369
2000 – 2009
- 2008
- [j10]Benoît Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy:
A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks. Neural Comput. 20(12): 2937-2966 (2008) - [c10]Nicolas Cuperlier, Philippe Gaussier, Mathias Quoy:
Interest of Spatial Context for a Place Cell Based Navigation Model. SAB 2008: 169-178 - 2006
- [j9]Hugues Berry, Mathias Quoy:
Structure and Dynamics of Random Recurrent Neural Networks. Adapt. Behav. 14(2): 129-137 (2006) - [c9]Nicolas Cuperlier, Mathias Quoy, Philippe Gaussier:
Navigation and Planning in an Unknown Environment Using Vision and a Cognitive Map. EUROS 2006: 129-142 - [c8]Nicolas Cuperlier, Mathias Quoy, Christophe Giovannangeli, Philippe Gaussier, Philippe Laroque:
Transition Cells for Navigation and Planning in an Unknown Environment. SAB 2006: 286-297 - 2005
- [j8]Jean-Paul Banquet, Philippe Gaussier, Mathias Quoy, Arnaud Revel, Yves Burnod:
A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies. Neural Comput. 17(6): 1339-1384 (2005) - [c7]Nicolas Cuperlier, Mathias Quoy, Philippe Laroque, Philippe Gaussier:
Transition Cells and Neural Fields for Navigation and Planning. IWINAC (1) 2005: 346-355 - 2003
- [j7]Mathias Quoy, Sorin Moga, Philippe Gaussier:
Dynamical neural networks for planning and low-level robot control. IEEE Trans. Syst. Man Cybern. Part A 33(4): 523-532 (2003) - [c6]Philippe Gaussier, Pierre Andry, Jean-Paul Banquet, Mathias Quoy, Jacqueline Nadel, Arnaud Revel:
Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games? AIME 2003: 377-386 - 2002
- [j6]Emmanuel Daucé, Mathias Quoy, Bernard Doyon:
Resonant spatiotemporal learning in large random recurrent networks. Biol. Cybern. 87(3): 185-198 (2002) - [j5]Emmanuel Daucé, Mathias Quoy, Bernard Doyon:
Resonant spatiotemporal learning in large random recurrent networks. Biol. Cybern. 87(4): 315 (2002) - [j4]Jianwei Zhang, Mathias Quoy:
Advances in robot skill learning. Robotics Auton. Syst. 38(3-4): 135-136 (2002) - [j3]Mathias Quoy, Philippe Laroque, Philippe Gaussier:
Learning and motivational couplings promote smarter behaviors of an animat in an unknown world. Robotics Auton. Syst. 38(3-4): 149-156 (2002) - 2001
- [c5]Sorin Moga, Philippe Gaussier, Mathias Quoy:
Investigating Active Pattern Recognition in an Imitative Game. IWANN (2) 2001: 516-523 - 2000
- [c4]Mathias Quoy, Sorin Moga, Philippe Gaussier, Arnaud Revel:
Parallelization of Neural Networks Using PVM. PVM/MPI 2000: 289-296
1990 – 1999
- 1999
- [c3]Mathias Quoy, Philippe Gaussier, Sacha Leprêtre, Arnaud Revel:
A Neural Model for the Visual Navigation and Planning of a Mobile Robot. ECAL 1999: 319-323 - [c2]Mathias Quoy, Philippe Gaussier, Sacha Leprêtre, Arnaud Revel, Jean-Paul Banquet:
A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment. EWLR 1999: 103-119 - 1998
- [j2]Philippe Gaussier, Sorin Moga, Mathias Quoy, Jean-Paul Banquet:
From Perception-Action Loops to Imitation Processes: A Bottom-Up Approach of Learning by Imitation. Appl. Artif. Intell. 12(7-8): 701-727 (1998) - [j1]Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides:
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. Neural Networks 11(3): 521-533 (1998) - 1992
- [c1]Bernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides:
Destabilization and Route to Chaos in Neural Networks with Random Connectivity. NIPS 1992: 549-555
Coauthor Index
aka: Alexandre Pitti
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last updated on 2024-10-23 21:28 CEST by the dblp team
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