25 Result(s)

Chapter and Conference Paper

Networks’ Modulation: How Different Structural Network Properties Affect the Global Synchronization of Coupled Kuramoto Oscillators

In a large variety of systems (biological, physical, social etc.), synchronization occurs when different oscillating objects tune their rhythm when they interact with each other. The different underlying netwo...

Juliette Courson, Thanos Manos, Mathias Quoy in Chaos, Fractals and Complexity (2023)

Chapter and Conference Paper

A Predictive Coding Account for Chaotic Itinerancy

As a phenomenon in dynamical systems allowing autonomous switching between stable behaviors, chaotic itinerancy has gained interest in neurorobotics research. In this study, we draw a connection between this p...

Louis Annnabi, Alexandre Pitti, Mathias Quoy in Artificial Neural Networks and Machine Lea… (2021)

Chapter and Conference Paper

INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes

Human working memory is capable to generate dynamically robust and flexible neuronal sequences for action planning, problem solving and decision making. However, current neurocomputational models of working me...

Alex Pitti, Philippe Gaussier, Mathias Quoy in Advances in Neural Networks - ISNN 2017 (2017)

Chapter and Conference Paper

Motion of Oriented Magnitudes Patterns for Human Action Recognition

In this paper, we present a novel descriptor for human action recognition, called Motion of Oriented Magnitudes Patterns (MOMP), which considers the relationships between the local gradient distributions of ne...

Hai-Hong Phan, Ngoc-Son Vu, Vu-Lam Nguyen, Mathias Quoy in Advances in Visual Computing (2016)

Chapter and Conference Paper

From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops

The distinction between cognitive goal-oriented and SR habitual behavior has long been classical in Neuroscience. Nevertheless, the mechanisms of the two types of behaviors as well as their interactions are po...

Jean-Paul Banquet, Souheïl Hanoune… in Artificial Neural Networks and Machine Lea… (2016)

Chapter and Conference Paper

Representation-Implementation Trade-Off in Cortico-Limbic Ganglio-Basal Loops

Unravelling the neural substrates of behavior has made possible to dissociate a high level representation system dedicated to the build-up and storage of a world model, and an implementation system for decisio...

Jean-Paul Banquet, Philippe Gaussier… in Advances in Cognitive Neurodynamics (IV) (2015)

Chapter and Conference Paper

Development of the Multimodal Integration in the Superior Colliculus and Its Link to Neonates Facial Preference

The question whether newborns possess inborn social skills is a long debate in developmental psychology. Fetal behavioral and anatomical observations show evidences for the control of eye movements and facial ...

Alexandre Pitti, Yasuo Kuniyoshi, Mathias Quoy… in Advances in Cognitive Neurodynamics (IV) (2015)

Chapter and Conference Paper

Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields

In this paper, we study a robust multi modal compass for a vision based navigation system. The model mimics several aspects of the head direction cells found in the postsubiculum of the rat. Idiothetic informa...

Pierre Delarboulas, Philippe Gaussier, Ramesh Caussy… in From Animals to Animats 13 (2014)

Article

Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents

Starting from neurobiological hypotheses on the existence of place cells (PC) in the brain, the aim of this article is to show how little assumptions at both individual and social levels can lead to the emerge...

Philippe Laroque, Nathalie Gaussier, Nicolas Cuperlier, Mathias Quoy… in Paladyn (2010)

Chapter and Conference Paper

Model of the Hippocampal Learning of Spatio-temporal Sequences

We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict the evolution of continuous r...

Julien Hirel, Philippe Gaussier, Mathias Quoy in Artificial Neural Networks – ICANN 2010 (2010)

Chapter and Conference Paper

Why and How Hippocampal Transition Cells Can Be Used in Reinforcement Learning

In this paper we present a model of reinforcement learning (RL) which can be used to solve goal-oriented navigation tasks. Our model supposes that transitions between places are learned in the hippocampus (CA pyr...

Julien Hirel, Philippe Gaussier, Mathias Quoy… in From Animals to Animats 11 (2010)

Chapter and Conference Paper

Interest of Spatial Context for a Place Cell Based Navigation Model

After a short review of properties of biological place cells, mainly found in the hippocampal region of rodents, and a brief presentation of a biologically inspired navigation architecture relying on these cel...

Nicolas Cuperlier, Philippe Gaussier, Mathias Quoy in From Animals to Animats 10 (2008)

Chapter and Conference Paper

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

We present a framework for Simultaneous Localization and Map building of an unknown environment based on vision and dead-reckoning systems. An omnidirectional camera gives a panoramic image from which no a pri...

Nicolas Cuperlier, Mathias Quoy, Philippe Gaussier in European Robotics Symposium 2006 (2006)

Chapter and Conference Paper

Transition Cells and Neural Fields for Navigation and Planning

We have developped a mobile robot control system based on hippocampus and prefrontal models. We propose an alternative to models that rely on cognitive maps linking place cells. Our experiments show that using tr...

Nicolas Cuperlier, Mathias Quoy… in Mechanisms, Symbols, and Models Underlying… (2005)

Chapter and Conference Paper

Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?

Understanding the brain and the cognitive mechanisms is a central question for philosophers, neuroscientists, psychologs and engineers as well. In our team, we try to reconcile the old cybernetic approach with...

Philippe Gaussier, Pierre Andry, Jean Paul Banquet… in Artificial Intelligence in Medicine (2003)

Article

Resonant spatiotemporal learning in large random recurrent networks

Emmanuel Daucé, Mathias Quoy, Bernard Doyon in Biological Cybernetics (2002)