B. Girard

发表

From brainstem to cortex: Computational models of saccade generation circuitry

A. Berthoz, B. Girard, Benoît Girard, 2005, Progress in Neurobiology.

Selective amplification using a contracting model of the basal ganglia

J. Slotine, A. Berthoz, B. Girard, 2006 .

Contracting model of the basal ganglia

J. Slotine, A. Berthoz, B. Girard, 2005 .

Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia

Stéphane Doncieux, Jean-Baptiste Mouret, Benoît Girard, 2010, GECCO '10.

The EvoNeuro Approach to Neuro-Evolution

Jean-Baptiste Mouret, S. Doncieux, Paul Tonelli, 2011 .

From Animals to Animats 10

John Hallam, Stéphane Doncieux, Agnès Guillot, 2008 .

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

Richard J. Duro, Olivier Sigaud, David Filliat, 2018, Front. Neurorobot..

Hippocampal replays under the scrutiny of reinforcement learning models.

M. Khamassi, B. Girard, R. Cazé, 2018, Journal of neurophysiology.

Integration of Action, Joint Action and Learning in Robot Cognitive Architectures

R. Chatila, M. Khamassi, R. Alami, 2016 .

A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection

K. Doya, B. Girard, B. Delord, 2020, The European journal of neuroscience.

Balancing out dwelling and moving: optimal sensorimotor synchronization.

E. Guigon, B. Girard, I. Cos, 2015, Journal of neurophysiology.

Basal Ganglia: Control of Saccades

B. Girard, Benoît Girard, 2019, Encyclopedia of Computational Neuroscience.

Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour

M. Roesch, M. Khamassi, B. Girard, 2019, Psychopharmacology.

Adaptive motivation in a biomimetic action selection mechanism

A. Guillot, B. Girard, Alexandre Coninx, 2008 .

A basal ganglia inspired model of action selection evaluated in a robotic survival task.

A. Guillot, T. Prescott, K. Gurney, 2003, Journal of integrative neuroscience.

Towards Modular Neuromimetic Robot Controllers

J. Slotine, A. Berthoz, B. Girard, 2007 .

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

An integration of two control architectures of action selection and navigation inspired by neural circuits in the vertebrates: The basal ganglia

Jean-Arcady Meyer, David Filliat, Alain Berthoz, 2004 .

Beta-Band Oscillations without Segregated Pathways: the opposing Roles of D2 and D5 Receptors in the Basal Ganglia

B. Girard, J. Liénard, Lise Aubin, 2017, bioRxiv.

Title: A Modelling Perspective on the Role of Biomechanics on Motor Decision-Making

P. Cisek, B. Girard, 2012 .

Maximum entropy perception‐action space: a Bayesian model of eye movement selection

P. Bessière, F. Colas, B. Girard, 2011 .

Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics

M. Khamassi, B. Girard, R'emi Dromnelle, 2022, Frontiers in Neurorobotics.

Beta-Band Oscillations without Pathways: the opposing Roles of D2 and D5 Receptors in the basal ganglia

B. Girard, J. Liénard, Lise Aubin, 2022 .

Reducing Computational Cost During Robot Navigation and Human–Robot Interaction with a Human-Inspired Reinforcement Learning Architecture

R. Chatila, M. Khamassi, P. Maragos, 2022, International Journal of Social Robotics.

Biomechanical costs of reaching movements bias perceptual decisions

P. Verschure, P. Cisek, Encarni Marcos, 2013, BMC Neuroscience.

Modeling awake hippocampal reactivations with model-based bidirectional search

Mehdi Khamassi, Benoît Girard, M. Khamassi, 2020, Biological Cybernetics.

A biologically constrained model of the whole basal ganglia addressing the paradoxes of connections and selection

Jean Liénard, Benoît Girard, B. Girard, 2013, Journal of Computational Neuroscience.

Toward Self-Aware Robots

Mehdi Khamassi, Raja Chatila, Aurélie Clodic, 2018, Front. Robot. AI.

Comparing a brain-inspired robot action selection mechanism with winner-takes-all

Kevin Gurney, Tony J. Prescott, Agnès Guillot, 2002 .

A biologically inspired meta-control navigation system for the Psikharpax rat robot

K Caluwaerts, M Staffa, S N'Guyen, 2012, Bioinspiration & biomimetics.

Computational Model of the Transition from Novice to Expert Interaction Techniques

M. Khamassi, B. Girard, Gilles Bailly, 2022, ACM Transactions on Computer-Human Interaction.

Intégration de la navigation et de la sélection de l'action dans une architecture de contrôle inspirée des ganglions de la base. (Integration of navigation and action selection in a basal-ganglia inspired control architecture)

Benoît Girard, B. Girard, Benoît Girard, 2003 .

The Psikharpax project: towards building an artificial rat

Jean-Arcady Meyer, Mehdi Khamassi, Alain Berthoz, 2005, Robotics Auton. Syst..

Saccade learning with concurrent cortical and subcortical basal ganglia loops

Benoît Girard, Steve N'Guyen, Charles Thurat, 2013, Front. Comput. Neurosci..

Basal Ganglia: Control of Saccades

Benoît Girard, B. Girard, 2014, Encyclopedia of Computational Neuroscience.

An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot

Patrick Pirim, Benoît Girard, Steve N'Guyen, 2010, SAB.

Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task

Mehdi Khamassi, Benoît Girard, Guillaume Viejo, 2017, Behavioural Brain Research.

A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation

Laure Rondi-Reig, Benedicte M. Babayan, Aurélie Watilliaux, 2017, Scientific Reports.

Path planning versus cue responding: a bio-inspired model of switching between navigation strategies

Ricardo Chavarriaga, Agnès Guillot, Benoît Girard, 2010, Biological Cybernetics.

Bayesian models of eye movement selection with retinotopic maps

Pierre Bessière, Benoît Girard, Francis Colas, 2009, Biological Cybernetics.

Explicit uncertainty for eye movement selection

Francis Colas, Benoît Girard, Fabien Flacher, 2008 .

Geometry of the superior colliculus mapping and efficient oculomotor computation

Nicolas Tabareau, Jean-Jacques E. Slotine, Alain Berthoz, 2007, Biological Cybernetics.

When Artificial Intelligence and Computational Neuroscience Meet

Philippe Gaussier, Peter Ford Dominey, Frédéric Alexandre, 2020, A Guided Tour of Artificial Intelligence Research.

Analyzing Interactions between Cue-Guided and Place-Based Navigation with a Computational Model of Action Selection: Influence of Sensory Cues and Training

Ricardo Chavarriaga, Agnès Guillot, Benoît Girard, 2010, SAB.

Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia–Thalamo-Cortical Loops

Jean-Arcady Meyer, David Filliat, Alain Berthoz, 2005, Adapt. Behav..

Implementation of a neurophysiological model of saccadic eye movements on an anthropomorphic robotic head

Paolo Dario, Nicolas Tabareau, Cecilia Laschi, 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics pdf

Richard J. Duro, Olivier Sigaud, Mehdi Khamassi, 2020, ArXiv.

Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection

Nicolas Tabareau, Jean-Jacques E. Slotine, Alain Berthoz, 2008, Neural Networks.

VTA dopamine neuron activity encodes social interaction and promotes reinforcement learning through social prediction error

B. Girard, C. Bellone, Beatrice Righetti, 2021, Nature Neuroscience.

VTA dopamine neuron activity encodes social interaction and promotes reinforcement learning through social prediction error

B. Girard, C. Bellone, Beatrice Righetti, 2021, Nature neuroscience.

Sustainable computational science: the ReScience initiative pdf

Cyrille Rossant, Xavier Hinaut, Thomas Arildsen, 2017, PeerJ Comput. Sci..

Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies*

Mehdi Khamassi, Erwan Renaudo, Raja Chatila, 2020, 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection

Ricardo Chavarriaga, Mehdi Khamassi, Agnès Guillot, 2008, Spatial Cognition.

State of the artificial rat Psikharpax

Jean-Arcady Meyer, Mehdi Khamassi, David Filliat, 2004 .

On-line fusion of trackers for single-object tracking

Jacques Droulez, Stéphane Herbin, Isabelle Leang, 2018, Pattern Recognit..

Dopamine blockade impairs the exploration-exploitation trade-off in rats

Mehdi Khamassi, Benoît Girard, Nassim Aklil, 2019, Scientific Reports.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

Biomechanical costs of reaching movements bias perceptual decisions

P. Verschure, P. Cisek, Encarni Marcos, 2013, BMC Neuroscience.

Multi-objective analysis of computational models pdf

Stéphane Doncieux, Jean Liénard, Benoît Girard, 2015, ArXiv.

Modelling the learning of biomechanics and visual planning for decision-making of motor actions

Mehdi Khamassi, Ignasi Cos, Benoıˆt Girard, 2013, Journal of Physiology-Paris.

Striola magica. A functional explanation of otolith geometry

Mariella Dimiccoli, Alain Berthoz, Daniel Bennequin, 2013, Journal of Computational Neuroscience.

Dopamine regulates the exploration-exploitation trade-off in rats

Mehdi Khamassi, Benoît Girard, Nassim Aklil, 2018, bioRxiv.

Deconstructing the contribution of sensory cues in social approach

B. Girard, C. Bellone, A. Contestabile, 2020, The European journal of neuroscience.

Dopamine neurons of the VTA encode active conspecific interaction and promote social learning through social reward prediction error

B. Girard, C. Bellone, C. Prévost-Solié, 2020, bioRxiv.

Motor Cost Influences Perceptual Decisions

P. Verschure, Encarni Marcos, B. Girard, 2015, PloS one.

Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture

Mehdi Khamassi, Raja Chatila, Benoît Girard, 2015, BICA.

Insular cortex to ventral striatum synapses encode valence of social interaction

B. Girard, C. Bellone, P. Espinosa, 2022, bioRxiv.

Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets

Steve N'Guyen, Benoît Girard, Charles Thurat, 2015, Neural Networks.

Running Title : 2 Balancing out dwelling and moving : optimal sensorimotor 3 synchronization 4 5 Abbreviated title : To dwell and to move : Variability Optimization 6 7

E. Guigon, B. Girard, I. Cos, 2015 .