Mathias Quoy
Orcid: 0000-0003-3345-380X
According to our database1,
Mathias Quoy
authored at least 48 papers
between 1992 and 2024.
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Bibliography
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.
Frontiers Comput. Neurosci., 2024
Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Networks' modulation: How different structural network properties affect the global synchronization of coupled Kuramoto oscillators.
CoRR, 2023
2022
In Search of a Neural Model for Serial Order: A Brain Theory for Memory Development and Higher Level Cognition.
IEEE Trans. Cogn. Dev. Syst., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization.
PLoS Comput. Biol., 2021
Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference.
Neural Networks, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE).
Neural Networks, 2020
Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself.
CoRR, 2020
Autonomous learning and chaining of motor primitives using the Free Energy Principle.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2018
Action recognition based on motion of oriented magnitude patterns and feature selection.
IET Comput. Vis., 2018
2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2016
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016
From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2015
Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation.
Neural Networks, 2015
2014
Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields.
Proceedings of the From Animals to Animats 13, 2014
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
2013
The hippocampo-cortical loop: Spatio-temporal learning and goal-oriented planning in navigation.
Neural Networks, 2013
Building specific contexts for on-line learning of dynamical tasks through non-verbal interaction.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
Explaining neonate facial imitation from the sensory alignment in the superior colliculus.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
2012
An architecture for online chunk learning and planning in complex navigation and manipulation tasks.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012
2011
Biologically inspired neural networks for spatio-temporal planning in robotic navigation tasks.
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011
On-line learning and planning in a pick-and-place task demonstrated through body manipulation.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011
2010
Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents.
Paladyn J. Behav. Robotics, 2010
Proceedings of the From Animals to Animats 11, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Comparing Multi-agent System and Mixed-Integer Programming Approaches on a Simple Optimization Problem.
Proceedings of the 2010 International Conference on Artificial Intelligence, 2010
2008
A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks.
Neural Comput., 2008
Proceedings of the From Animals to Animats 10, 2008
2006
Proceedings of the From Animals to Animats 9, 2006
Proceedings of the First European Robotics Symposium 2006, 2006
2005
A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies.
Neural Comput., 2005
Proceedings of the Mechanisms, 2005
2003
IEEE Trans. Syst. Man Cybern. Part A, 2003
Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Learning and motivational couplings promote smarter behaviors of an animat in an unknown world.
Robotics Auton. Syst., 2002
Biol. Cybern., 2002
2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001
2000
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2000
1999
A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment.
Proceedings of the Advances in Robot Learning, 8th European Workshop on Learning Robots, 1999
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999
1998
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning.
Neural Networks, 1998
From Perception-Action Loops to Imitation Processes: A Bottom-Up Approach of Learning by Imitation.
Appl. Artif. Intell., 1998
1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992