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Number of documents

72

Benoît Girard - DR2 CNRS


ISIR, UPMC/CNRS

UMR 7222

4 place Jussieu

CC173

75005 Paris

http://people.isir.upmc.fr/girard


Journal articles36 documents

  • Mehdi Khamassi, Benoît Girard. Modeling awake hippocampal reactivations with model-based bidirectional search. Biological Cybernetics (Modeling), Springer Verlag, 2020, ⟨10.1007/s00422-020-00817-x⟩. ⟨hal-02504897⟩
  • François Cinotti, Alain Marchand, Matthew Roesch, Benoît Girard, Mehdi Khamassi. Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour. Psychopharmacology, Springer Verlag, 2019. ⟨hal-02270920⟩
  • Bénédicte Babayan, Aurélie Watilliaux, Guillaume Viejo, Anne-Lise Paradis, Benoît Girard, et al.. Author Correction: A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation. Scientific Reports, Nature Publishing Group, 2019, 9 (1), pp.19904. ⟨10.1038/s41598-019-56345-7⟩. ⟨hal-02426564⟩
  • François Cinotti, Virginie Fresno, Nassim Aklil, Etienne Coutureau, Benoît Girard, et al.. Dopamine blockade impairs the exploration-exploitation trade-off in rats. Scientific Reports, Nature Publishing Group, 2019, 9 (1), ⟨10.1038/s41598-019-43245-z⟩. ⟨hal-02121649⟩
  • Nassim Aklil, Benoît Girard, Ludovic Denoyer, Mehdi Khamassi. Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. International Journal of Semantic Computing, World Scientific, 2018, 12 (01), pp.109-127. ⟨10.1142/S1793351X18400068⟩. ⟨hal-02347279⟩
  • Isabelle Leang, Stéphane Herbin, Benoît Girard, Jacques Droulez. On-line fusion of trackers for single-object tracking. Pattern Recognition, Elsevier, 2018, 74, pp.459-473. ⟨10.1016/j.patcog.2017.09.026⟩. ⟨hal-01635420⟩
  • Stéphane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, et al.. Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers in Neurorobotics, Frontiers, 2018, 12, pp.59. ⟨10.3389/fnbot.2018.00059⟩. ⟨hal-01889947⟩
  • Raja Chatila, Erwan Renaudo, Mihai Andries, Ricardo-Omar Chavez-Garcia, Pierre Luce-Vayrac, et al.. Toward Self-Aware Robots. Frontiers in Robotics and AI, Frontiers Media S.A., 2018, 5, pp.88. ⟨10.3389/frobt.2018.00088⟩. ⟨hal-01856931⟩
  • Guillaume Viejo, Benoît Girard, Emmanuel Procyk, Mehdi Khamassi. Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. Behavioural Brain Research, Elsevier, 2018, 355, pp.76-89. ⟨10.1016/j.bbr.2017.09.030⟩. ⟨hal-01624253⟩
  • Romain Cazé, Mehdi Khamassi, Lise Aubin, Benoît Girard. Hippocampal replays under the scrutiny of reinforcement learning models. Journal of Neurophysiology, American Physiological Society, 2018, ⟨10.1152/jn.00145.2018⟩. ⟨hal-02323528⟩
  • Romain Cazé, Marcel Stimberg, Benoît Girard. [Re] Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks. The ReScience journal, GitHub, 2018, 4 (1), ⟨10.5281/zenodo.1246659⟩. ⟨hal-01856930⟩
  • Nicolas Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena Barba, et al.. Sustainable computational science: the ReScience initiative. PeerJ Computer Science, PeerJ, 2017, 3, pp.e142. ⟨10.7717/peerj-cs.142⟩. ⟨hal-01592078⟩
  • Bénédicte Babayan, Aurélie Watilliaux, Guillaume Viejo, Anne-Lise Paradis, Benoît Girard, et al.. A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation. Scientific Reports, Nature Publishing Group, 2017, 7, pp.17812. ⟨10.1038/s41598-017-18004-7⟩. ⟨hal-01668433⟩
  • Benoît Girard, Mehdi Khamassi. Coopération de systèmes d’apprentissage par renforcement multiples.. Techniques de l'Ingenieur, Techniques de l'ingénieur, 2016, pp.S7793. ⟨hal-01524743⟩
  • Mehdi Khamassi, Benoît Girard, Aurélie Clodic, Sandra Devin, Erwan Renaudo, et al.. Integration of Action, Joint Action and Learning in Robot Cognitive Architectures. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 2016, 2016/1 (65), pp.169-203. ⟨10.3406/intel.2016.1794⟩. ⟨hal-01375666⟩
  • Guillaume Viejo, Benoît Girard, Mehdi Khamassi. [Re] Speed/accuracy trade-off between the habitual and the goal-directed processes. The ReScience journal, GitHub, 2016, 2 (1), ⟨10.5281/zenodo.45852⟩. ⟨hal-01524285⟩
  • Encarni Marcos, Ignasi Cos, Benoît Girard, Paul F. M. J. Verschure. Motor Cost Influences Perceptual Decisions. PLoS ONE, Public Library of Science, 2015, 10 (12), pp.e0144841. ⟨10.1371/journal.pone.0144841⟩. ⟨hal-01257848⟩
  • Charles Thurat, Steve N 'Guyen, Benoît Girard. Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets. Neural Networks, Elsevier, 2015, 67, pp.54-73. ⟨10.1016/j.neunet.2015.02.004⟩. ⟨hal-01182221⟩
  • Ignasi Cos, Benoît Girard, Emmanuel Guigon. Balancing out dwelling and moving: optimal sensorimotor synchronization. Journal of Neurophysiology, American Physiological Society, 2015, 114 (1), pp.146-158. ⟨10.1152/jn.00175.2015⟩. ⟨hal-01524646⟩
  • Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi. Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. Procedia Computer Science, Elsevier, 2015, 71, pp.178-184. ⟨10.1016/j.procs.2015.12.194⟩. ⟨hal-01250157⟩
  • Guillaume Viejo, Mehdi Khamassi, Andrea Brovelli, Benoît Girard. Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning. Frontiers in Behavioral Neuroscience, Frontiers, 2015, 9, pp.225. ⟨10.3389/fnbeh.2015.00225⟩. ⟨hal-01215419⟩
  • Jean Liénard, Benoît Girard. A biologically constrained model of the whole basal ganglia addressing the paradoxes of connections and selection. Journal of Computational Neuroscience, Springer Verlag, 2014, 36 (3), pp.445-468. ⟨10.1007/s10827-013-0476-2⟩. ⟨hal-01182077⟩
  • Steve N'Guyen, Charles Thurat, Benoît Girard. Saccade learning with concurrent cortical and subcortical basal ganglia loops.. Frontiers in Computational Neuroscience, Frontiers, 2014, 8, pp.48. ⟨10.3389/fncom.2014.00048⟩. ⟨hal-01000253⟩
  • Mariella Dimiccoli, Benoît Girard, Alain Berthoz, Daniel Bennequin. Striola magica. A functional explanation of otolith geometry. Journal of Computational Neuroscience, Springer Verlag, 2013, 35 (2), pp.125-154. ⟨10.1007/s10827-013-0444-x⟩. ⟨hal-01000762⟩
  • Ignasi Cos, Mehdi Khamassi, Benoît Girard. Modeling the Learning of Biomechanics and Visual Planning for Decision-Making of Motor Actions.. Journal of Physiology - Paris, Elsevier, 2013, 107 (5), pp.399-408. ⟨10.1016/j.jphysparis.2013.07.004⟩. ⟨hal-01000837⟩
  • Ken Caluwaerts, Mariacarla Staffa, Steve N'Guyen, Christophe Grand, Laurent Dollé, et al.. A biologically inspired meta-control navigation system for the Psikharpax rat robot.. Bioinspiration and Biomimetics, IOP Publishing, 2012, 7 (2), pp.025009. ⟨10.1088/1748-3182/7/2/025009⟩. ⟨hal-01000945⟩
  • Laurent Dollé, Denis Sheynikhovich, Benoît Girard, Ricardo Chavarriaga, Agnès Guillot. Path planning versus cue responding: a bio-inspired model of switching between navigation strategies. Biological Cybernetics (Modeling), Springer Verlag, 2010, 103 (4), pp.299-317. ⟨10.1007/s00422-010-0400-z⟩. ⟨hal-01524669⟩
  • Francis Colas, Fabien Flacher, Thomas Tanner, Pierre Bessiere, Benoît Girard. Bayesian models of eye movement selection with retinotopic maps.. Biological Cybernetics (Modeling), Springer Verlag, 2009, 100 (3), pp.203-14. ⟨10.1007/s00422-009-0292-y⟩. ⟨hal-00384515⟩
  • Benoît Girard, N Tabareau, Q C Pham, A Berthoz, J.-J Slotine. Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection. Neural Networks, Elsevier, 2008, 21 (4), pp.628- 641. ⟨10.1016/j.neunet.2008.03.009⟩. ⟨hal-01524676⟩
  • Nicolas Tabareau, Daniel Bennequin, Alain Berthoz, Jean-Jacques Slotine, Benoît Girard. Geometry of the superior colliculus mapping and efficient oculomotor computation. Biological Cybernetics (Modeling), Springer Verlag, 2007, 97 (4), pp.279-292. ⟨10.1007/s00422-007-0172-2⟩. ⟨hal-00178144⟩
  • Benoît Girard, Alain Berthoz. From brainstem to cortex: computational models of the saccade generation circuitry. Progress in Neurobiology, Elsevier, 2005, 77, pp.215-251. ⟨10.1016/J.pneurobio.2005.11.001⟩. ⟨hal-00016388⟩
  • Jean-Arcady Meyer, Agnès Guillot, Benoît Girard, Mehdi Khamassi, Patrick Pirim, et al.. The Psikharpax project: Towards building an artificial rat. Robotics and Autonomous Systems, Elsevier, 2005, 50 (4), pp.211-223. ⟨10.1016/j.robot.2004.09.018⟩. ⟨hal-00016391⟩
  • Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot. Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops. Adaptive Behavior, SAGE Publications, 2005, 13 (2), pp.115-130. ⟨10.1177/105971230501300204⟩. ⟨hal-00016389⟩
  • Mehdi Khamassi, Loïc Lachèze, Benoît Girard, Alain Berthoz, Agnès Guillot. Actor-critic models of reinforcement learning in the basal ganglia: From natural to artificial rats. Adaptive Behavior, SAGE Publications, 2005, 13 (2), pp.131-148. ⟨10.1177/105971230501300205⟩. ⟨hal-00016390v2⟩
  • Benoît Girard, Vincent Cuzin, Agnès Guillot, Kevin Gurney, Tony Prescott. A basal ganglia inspired model of action selection evaluated in a robotic survival task. Journal of Integrative Neuroscience, World Scientific Publishing, 2003, 2 (3), pp.179-200. ⟨10.1142/S0219635203000299⟩. ⟨hal-00016392⟩
  • Benoît Girard, Gabriel Robert, Agnès Guillot. Jeux vidéo et intelligence artificielle située. In Cognito - Cahiers Romans de Sciences Cognitives, In Cognito, INPG, 46 Avenue Felix Viallet, 38031 Grenoble Cedex, 2001, 22, pp.57-72. ⟨hal-00016402⟩

Conference papers27 documents

  • Lise Aubin, Mehdi Khamassi, Benoît Girard. Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. Biomimetic and Biohybrid Systems. Living Machines 2018., Jul 2018, Paris, France. pp.16-27, ⟨10.1007/978-3-319-95972-6_4⟩. ⟨hal-01709275⟩
  • Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer. Sequential Action Selection for Budgeted Localization in Robots. IEEE Robotic Computing 2017, IEEE, Apr 2017, Taichung, Taiwan. pp.97 - 100, ⟨10.1109/IRC.2017.19⟩. ⟨hal-01524808⟩
  • Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi. Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?. 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB), Aug 2015, Providence, RI, United States. ⟨10.1109/DEVLRN.2015.7346152⟩. ⟨hal-01312449⟩
  • Erwan Renaudo, Sandra Devin, Benoît Girard, Raja Chatila, Rachid Alami, et al.. Learning to interact with humans using goal-directed and habitual behaviors. Ro-Man 2015, Workshop on Learning for Human-Robot Collaboration, Aug 2015, Kobe, Japan. ⟨hal-01944380⟩
  • I Leang, S Herbin, Benoît Girard, J Droulez. Prédiction sélective des traitements pour le suivi d'objet. ORASIS 2015, Jun 2015, Amiens, France. ⟨hal-01525208⟩
  • Isabelle Leang, Stéphane Herbin, Benoît Girard, Jacques Droulez. Robust Fusion of Trackers using on-line Drift Prediction.. Advanced Concepts for Intelligent Vision Systems (ACIVS 2015), Oct 2015, Catania, Italy. pp.229-240, ⟨10.1007/978-3-319-25903-1_20⟩. ⟨hal-01524811⟩
  • Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi. Design of a Control Architecture for Habit Learning in Robots. Third International Conference, Living Machines 2014, Milan, Italy, Jul 2014, Milan, Italy. ⟨10.1007/978-3-319-09435-9_22⟩. ⟨hal-01312443⟩
  • Ignasi Cos, Pavel Rueda-Orozco, David Robbe, Benoît Girard. Learning a sequence of motor responses to attain reward: a speed-accuracy trade-off. the Twenty Second Annual Computational Neuroscience Meeting: CNS*2013, Jul 2013, paris, France. pp.P143. ⟨inserm-00842300⟩
  • Ken Caluwaerts, Antoine Favre-Félix, Mariacarla Staffa, Christophe Grand, Steve N'Guyen, et al.. Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy. Living Machines 2012, Jul 2012, Barcelone, Spain. pp.62-73, ⟨10.1007/978-3-642-31525-1_6⟩. ⟨hal-01525152⟩
  • Steve N'Guyen, Patrick Pirim, Jean-Arcady Meyer, Benoît Girard. An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot.. International Conference on Simulation of Adaptive Behavior (SAB2010), Aug 2010, Paris, France. pp.114--125. ⟨hal-00514258⟩
  • Jean-Baptiste Mouret, Stéphane Doncieux, Benoît Girard. Importing the Computational Neuroscience Toolbox into Neuro-Evolution---Application to Basal Ganglia. GECCO'10, 2010, Portland, United States. pp.587-594, ⟨10.1145/1830483.1830592⟩. ⟨hal-00687639v2⟩
  • Laurent Dollé, Denis Sheynikhovich, Benoît Girard, Balazs Ujfalussy, Ricardo Chavarriaga, et al.. Analyzing Interactions between Cue-Guided and Place-Based Navigation with a Computational Model of Action Selection: Influence of Sensory Cues and Training. From Animals to Animats 11, Aug 2010, Paris, France. pp.335-346, ⟨10.1007/978-3-642-15193-4_32⟩. ⟨hal-01525164⟩
  • Jean Liénard, Agnès Guillot, Benoît Girard. Multi-Objective Evolutionary Algorithms to Investigate Neurocomputational Issues : The Case Study of Basal Ganglia Models. From animals to animats 11: Simulation of Adaptive Behavior, Aug 2010, Paris, France. pp.597-606. ⟨hal-00645915⟩
  • Francis Colas, Pierre Bessière, Benoît Girard. Maximum entropy perception-action space: a Bayesian model of eye movement selection. 30th Conf. on Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt2010), Jul 2010, Chamonix, France. ⟨10.1063/1.3573660⟩. ⟨hal-01142599⟩
  • Minh Tuan Tran, Philippe Souères, Michel Taïx, Benoît Girard. Eye-centered vs body-centered reaching control: A robotics insight into the neuroscience debate. Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on, Dec 2009, Guilin, China. pp.568-573, ⟨10.1109/ROBIO.2009.5420609⟩. ⟨hal-01525181⟩
  • Cécile Masson, Benoît Girard. Decoding the Grid Cells for Metric Navigation Using the Residue Numeral System. Second International Conference on Cognitive Neurodynamics, Nov 2009, Hangzhou, China. ⟨10.1007/978-90-481-9695-1_73⟩. ⟨hal-00396447⟩
  • Francis Colas, Fabien Flacher, Pierre Bessiére, Benoît Girard. Explicit uncertainty for eye movement selection. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331555⟩
  • Alexandre Coninx, Agnés Guillot, Benoît Girard. Adaptive motivation in a biomimetic action selection mechanism. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331576⟩
  • Laurent Dollé, Mehdi Khamassi, Benoît Girard, Agnès Guillot, Ricardo Chavarriaga. Analyzing interactions between navigation strategies using a computational model of action selection.. Spatial Cognition VI. Learning, Reasoning, and Talking about Space, Sep 2008, Freiburg, Germany. pp.71-86, ⟨10.1007/978-3-540-87601-4_8⟩. ⟨hal-01525186⟩
  • Benoît Girard, Nicolas Tabareau, Alain Berthoz, Jean-Jacques Slotine. Selective amplification using a contracting model of the basal ganglia. NeuroComp 2006, 2006, Pont A Mousson, France. pp.30-33. ⟨hal-00111145⟩
  • Luigi Manfredi, Eliseo Stefano Maini, Paolo Dario, Cecilia Laschi, Benoît Girard, et al.. Implementation of a neurophysiological model of saccadic eye movements on an anthropomorphic robotic head. 6th IEEE-RAS International Conference on Humanoid Robots, Dec 2006, Gênes, Italy. pp.438-443, ⟨10.1109/ICHR.2006.321309⟩. ⟨hal-01525198⟩
  • Benoît Girard, Nicolas Tabareau, Jean-Jacques Slotine, Alain Berthoz. Contracting model of the basal ganglia. Modeling Natural Action Selection, 2005, Edinburgh, United Kingdom. pp.69-76. ⟨hal-00016414⟩
  • Mehdi Khamassi, Benoît Girard, Alain Berthoz, Agnès Guillot. Comparing three critic models of reinforcement learning in the basal ganglia connected to a detailed actor in a S-R task. 8th International Conference on Intelligent Autonomous Systems, Mar 2004, Amsterdam, Netherlands. pp.430-437. ⟨hal-00016406⟩
  • David Filliat, Benoît Girard, Agnès Guillot, Mehdi Khamassi, Loïc Lachèze, et al.. State of the artificial rat Psikharpax. SAB 2004 - 8th International Conference on Simulation of Adaptive Behavior, Jul 2004, Los Angeles, CA, United States. pp.3-12. ⟨hal-00016411⟩
  • Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot. An integration of two control architectures of action selection and navigation inspired by neural circuits in the vertebrates: The basal ganglia. 8th Neural Computation and Psychology Workshop, Aug 2004, University of Kent, United Kingdom. pp.72-81. ⟨hal-00016409⟩
  • Benoît Girard, Vincent Cuzin, Agnès Guillot, Kevin Gurney, Tony Prescott. Comparing a bio-inspired robot action selection mechanism with winner-takes-all. 7th international conference on simulation of adaptive behavior, 2002, Edimburg, United Kingdom. pp.75-84. ⟨hal-00016405⟩
  • Benoît Girard, Gabriel Robert. Intelligence Artificielle Située et Jeux Vidéo. 4ème colloque Jeunes Chercheurs en Science Cognitives (CJC4), May 2001, Lyon, France. pp.157-160. ⟨hal-01571786⟩

Book sections3 documents

  • Fréderic Alexandre, Peter Ford Dominey, Philippe Gaussier, Benoît Girard, Mehdi Khamassi, et al.. When Artificial Intelligence and Computational Neuroscience meet. Springer. A guided tour of artificial intelligence research, Interfaces and applications of artificial intelligence, 3, 2020, Interfaces and Applications of Artificial Intelligence, 978-3-030-06170-8. ⟨hal-01735123⟩
  • Benoît Girard. Basal Ganglia: Control of Saccades. Encyclopedia of Computational Neuroscience, Springer New York, pp.1-3, 2019, ⟨10.1007/978-1-4614-7320-6_516-2⟩. ⟨hal-02347368⟩
  • Benoît Girard. Basal Ganglia: Control of Saccades. Dieter Jaeger; Ranu Jung. Encyclopedia of Computational Neuroscience, Springer, 2014, 978-1-4614-7320-6. ⟨10.1007/978-1-4614-7320-6_516-1⟩. ⟨hal-01524798⟩

Directions of work or proceedings1 document

  • Stéphane Doncieux, Benoît Girard, Agnès Guillot, John Hallam, Jean-Arcady Meyer, et al.. From Animals to Animats 11: 11th International Conference on Simulation of Adaptive Behavior. France. 6226, Springer, 2010, LNAI, 978-3-642-15192-7. ⟨10.1007/978-3-642-15193-4⟩. ⟨hal-01300714⟩

Theses1 document

  • Benoît Girard. Intégration de la navigation et de la sélection de l'action dans une architecture de contrôle inspirée des ganglions de la base. Neurosciences [q-bio.NC]. Université Pierre et Marie Curie - Paris VI, 2003. Français. ⟨tel-00007683⟩

Habilitation à diriger des recherches1 document

  • Benoît Girard. Modélisation neuromimétique : Sélection de l'action, navigation et exécution motrice. Neurosciences [q-bio.NC]. Université Pierre et Marie Curie - Paris VI, 2010. ⟨tel-00551248⟩

Preprints, Working Papers, ...3 documents

  • Stephane Doncieux, Nicolas Bredeche, Léni Le Goff, Benoît Girard, Alexandre Coninx, et al.. DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. 2020. ⟨hal-02562103⟩
  • Benoît Girard. The seven donkeys: Super A.I. performance in animal categorization by an immature Human brain. 2019. ⟨hal-02421660⟩
  • Nicolas Tabareau, Benoît Girard, Daniel Bennequin, Alain Berthoz, Jean-Jacques Slotine. Superior Colliculus geometry for spatio-temporal transformation. 2006. ⟨hal-00016885⟩