Mathias Quoy

Orcid: 0000-0003-3345-380X

According to our database1, Mathias Quoy authored at least 46 papers between 1992 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

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

Continual Sequence Modeling With Predictive Coding.
Frontiers Neurorobotics, 2022

On the relationship between variational inference and auto-associative memory.
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

A Predictive Coding Account for Chaotic Itinerancy.
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
INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
Motion of Oriented Magnitudes Patterns for Human Action Recognition.
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

Cortical chunks learning for action selection in a complex task.
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

Why and How Hippocampal Transition Cells Can Be Used in Reinforcement Learning.
Proceedings of the From Animals to Animats 11, 2010

Model of the Hippocampal Learning of Spatio-temporal Sequences.
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

Interest of Spatial Context for a Place Cell Based Navigation Model.
Proceedings of the From Animals to Animats 10, 2008

2006
Structure and Dynamics of Random Recurrent Neural Networks.
Adapt. Behav., 2006

Transition Cells for Navigation and Planning in an Unknown Environment.
Proceedings of the From Animals to Animats 9, 2006

Navigation and Planning in an Unknown Environment Using Vision and a Cognitive Map.
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

Transition Cells and Neural Fields for Navigation and Planning.
Proceedings of the Mechanisms, 2005

2003
Dynamical neural networks for planning and low-level robot control.
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
Advances in robot skill learning.
Robotics Auton. Syst., 2002

Learning and motivational couplings promote smarter behaviors of an animat in an unknown world.
Robotics Auton. Syst., 2002

Resonant spatiotemporal learning in large random recurrent networks.
Biol. Cybern., 2002

2001
Investigating Active Pattern Recognition in an Imitative Game.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
Parallelization of Neural Networks Using PVM.
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

A Neural Model for the Visual Navigation and Planning of a Mobile Robot.
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
Destabilization and Route to Chaos in Neural Networks with Random Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992


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