Destabilization and Route to Chaos in Neural Networks with Random Connectivity. - Bernard Doyon; Bruno Cessac; Mathias Quoy; Manuel Samuelides (NIPS, 1992)

From Perception-Action Loops to Imitation Processes: A Bottom-Up Approach of Learning by Imitation. - Philippe Gaussier; Sorin Moga; Mathias Quoy; Jean-Paul Banquet (Appl. Artif. Intell., 1998)

Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. - Emmanuel Daucé; Mathias Quoy; Bruno Cessac; Bernard Doyon; Manuel Samuelides (Neural Networks, 1998)

A Neural Model for the Visual Navigation and Planning of a Mobile Robot. - Mathias Quoy; Philippe Gaussier; Sacha Leprêtre; Arnaud Revel (ECAL, 1999)

A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment. - Mathias Quoy; Philippe Gaussier; Sacha Leprêtre; Arnaud Revel; Jean-Paul Banquet (EWLR, 1999)

Parallelization of Neural Networks Using PVM. - Mathias Quoy; Sorin Moga; Philippe Gaussier; Arnaud Revel (PVM/MPI, 2000)

Investigating Active Pattern Recognition in an Imitative Game. - Sorin Moga; Philippe Gaussier; Mathias Quoy (IWANN (2), 2001)

Resonant spatiotemporal learning in large random recurrent networks. - Emmanuel Daucé; Mathias Quoy; Bernard Doyon (Biol. Cybern., 2002)

Learning and motivational couplings promote smarter behaviors of an animat in an unknown world. - Mathias Quoy; Philippe Laroque; Philippe Gaussier (Robotics Auton. Syst., 2002)

Advances in robot skill learning. - Jianwei Zhang 001; Mathias Quoy (Robotics Auton. Syst., 2002)

Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games? - Philippe Gaussier; Pierre Andry; Jean-Paul Banquet; Mathias Quoy; Jacqueline Nadel; Arnaud Revel (AIME, 2003)

Dynamical neural networks for planning and low-level robot control. - Mathias Quoy; Sorin Moga; Philippe Gaussier (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Spatial representation versus navigation through hippocampal, prefrontal and ganglio-basal loops. - Jean-Paul Banquet; Yves Burnod; Philippe Gaussier; Mathias Quoy; Arnaud Revel (IJCNN, 2004)

Transition Cells and Neural Fields for Navigation and Planning. - Nicolas Cuperlier; Mathias Quoy; Philippe Laroque; Philippe Gaussier (IWINAC (1), 2005)

A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies. - Jean-Paul Banquet; Philippe Gaussier; Mathias Quoy; Arnaud Revel; Yves Burnod (Neural Comput., 2005)

Navigation and Planning in an Unknown Environment Using Vision and a Cognitive Map. - Nicolas Cuperlier; Mathias Quoy; Philippe Gaussier (EUROS, 2006)

Transition Cells for Navigation and Planning in an Unknown Environment. - Nicolas Cuperlier; Mathias Quoy; Christophe Giovannangeli; Philippe Gaussier; Philippe Laroque (SAB, 2006)

Structure and Dynamics of Random Recurrent Neural Networks. - Hugues Berry; Mathias Quoy (Adapt. Behav., 2006)

Interest of Spatial Context for a Place Cell Based Navigation Model. - Nicolas Cuperlier; Philippe Gaussier; Mathias Quoy (SAB, 2008)

A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks. - Benoît Siri; Hugues Berry; Bruno Cessac; Bruno Delord; Mathias Quoy (Neural Comput., 2008)

Comparing Multi-agent System and Mixed-Integer Programming Approaches on a Simple Optimization Problem. - Philippe Laroque; Florence Pirard; Frederic Archambault; Mathias Quoy; Philippe Gaussier (IC-AI, 2010)

Model of the Hippocampal Learning of Spatio-temporal Sequences. - Julien Hirel; Philippe Gaussier; Mathias Quoy (ICANN (3), 2010)

Why and How Hippocampal Transition Cells Can Be Used in Reinforcement Learning. - Julien Hirel; Philippe Gaussier; Mathias Quoy; Jean-Paul Banquet (SAB, 2010)

Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents. - Philippe Laroque; Nathalie Gaussier; Nicolas Cuperlier; Mathias Quoy; Philippe Gaussier (Paladyn J. Behav. Robotics, 2010)

On-line learning and planning in a pick-and-place task demonstrated through body manipulation. - Antoine de Rengervé; Julien Hirel; Pierre Andry; Mathias Quoy; Philippe Gaussier (ICDL-EPIROB, 2011)

Biologically inspired neural networks for spatio-temporal planning in robotic navigation tasks. - Julien Hirel; Philippe Gaussier; Mathias Quoy (ROBIO, 2011)

An architecture for online chunk learning and planning in complex navigation and manipulation tasks. - Souheil Hanoune; Mathias Quoy; Philippe Gaussier (ICDL-EPIROB, 2012)

Explaining neonate facial imitation from the sensory alignment in the superior colliculus. - Alexandre Pitti; Yasuo Kuniyoshi; Mathias Quoy; Philippe Gaussier (ICDL-EPIROB, 2013)

Building specific contexts for on-line learning of dynamical tasks through non-verbal interaction. - Antoine de Rengervé; Souheil Hanoune; Pierre Andry; Mathias Quoy; Philippe Gaussier (ICDL-EPIROB, 2013)

The hippocampo-cortical loop: Spatio-temporal learning and goal-oriented planning in navigation. - Julien Hirel; Philippe Gaussier; Mathias Quoy; Jean-Paul Banquet; Etienne Save; Bruno Poucet (Neural Networks, 2013)

Cortical chunks learning for action selection in a complex task. - Souheil Hanoune; Philippe Gaussier; Mathias Quoy (ICDL-EPIROB, 2014)

Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields. - Pierre Delarboulas; Philippe Gaussier; Ramesh Caussy; Mathias Quoy (SAB, 2014)

Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation. - Sylvain Mahé; Raphael Braud; Philippe Gaussier; Mathias Quoy; Alexandre Pitti (Neural Networks, 2015)

From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops. - Jean-Paul Banquet; Souheil Hanoune; Philippe Gaussier; Mathias Quoy (ICANN (1), 2016)

Motion of Oriented Magnitudes Patterns for Human Action Recognition. - Hai-Hong Phan; Ngoc-Son Vu; Vu-Lam Nguyen; Mathias Quoy (ISVC (2), 2016)

INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes. - Alex Pitti; Philippe Gaussier; Mathias Quoy (ISNN (1), 2017)

Action recognition based on motion of oriented magnitude patterns and feature selection. - Hai-Hong Phan; Ngoc-Son Vu; Vu-Lam Nguyen; Mathias Quoy (IET Comput. Vis., 2018)

Autonomous learning and chaining of motor primitives using the Free Energy Principle. - Louis Annabi; Alexandre Pitti; Mathias Quoy (IJCNN, 2020)

Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself. - Alexandre Pitti; Mathias Quoy; Catherine Lavandier; Sofiane Boucenna (CoRR, 2020)

Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE). - Alexandre Pitti; Mathias Quoy; Catherine Lavandier; Sofiane Boucenna (Neural Networks, 2020)

A Predictive Coding Account for Chaotic Itinerancy. - Louis Annabi; Alexandre Pitti; Mathias Quoy (ICANN (1), 2021)

Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference. - Louis Annabi; Alexandre Pitti; Mathias Quoy (Neural Networks, 2021)

Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization. - Alexandre Pitti; Mathias Quoy; Sofiane Boucenna; Catherine Lavandier (PLoS Comput. Biol., 2021)

On the relationship between variational inference and auto-associative memory. - Louis Annabi; Alexandre Pitti; Mathias Quoy (NeurIPS, 2022)

Continual Sequence Modeling With Predictive Coding. - Louis Annabi; Alexandre Pitti; Mathias Quoy (Frontiers Neurorobotics, 2022)

In Search of a Neural Model for Serial Order: A Brain Theory for Memory Development and Higher Level Cognition. - Alexandre Pitti; Mathias Quoy; Catherine Lavandier; Sofiane Boucenna; Wassim Swaileh; Claudio Weidmann (IEEE Trans. Cogn. Dev. Syst., 2022)

Networks' modulation: How different structural network properties affect the global synchronization of coupled Kuramoto oscillators. - Juliette Courson; Thanos Manos; Mathias Quoy (CoRR, 2023)

Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual Learning. - Xiaodan Chen; Alexandre Pitti; Mathias Quoy; Nancy F. Chen (ICANN (7), 2024)

An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control. - Juliette Courson; Mathias Quoy; Yulia Timofeeva; Thanos Manos (Frontiers Comput. Neurosci., 2024)

Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP. - Raphaël Bergoin; Alessandro Torcini; Gustavo Deco; Mathias Quoy; Gorka Zamora-López (PLoS Comput. Biol., 2025)

Confidence-Based Self-Training for EMG-to-Speech: Leveraging Synthetic EMG for Robust Modeling. - Xiaodan Chen; Xiaoxue Gao; Mathias Quoy; Alexandre Pitti; Nancy F. Chen (CoRR, 2025)