Institut des Systèmes Intelligents
et de Robotique

Partenariats

Sorbonne Universite

CNRS

INSERM

Tremplin CARNOT Interfaces

Labex SMART

Rechercher

Publications

girard Benoît
Titre : Directeur de Recherches
Adresse : 4 place Jussieu, CC 173, 75252 Paris cedex 05
Téléphone : +33 (0) 1 44 27 63 81
Email : girard(at)isir.upmc.fr
Equipe : AMAC (AMAC)

Publications classées par catégorie - Publications classées par date

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Liste des publications (139).

2018

[2018ACLI4490] - Leang, I. and Herbin, S. and Girard, B. and Droulez, J. (2018). On-line Fusion of Trackers for Single-Object Tracking.
Pattern Recognition. Vol 74 Pages 459-473.
[ HTTP | DOI | BIB ]

[2018ACLI4498] - Viejo, G. and Girard, B. and Procyk, E. and Khamassi, M. (2018). Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task.
Behavioural Brain Research. Vol 355 Pages 76-89.
[ PDF | HTTP | DOI | BIB ]

[2018ACLI4510] - Aklil, N. and Girard, B. and Denoyer, L. and Khamassi, M. (2018). Sequential action selection and active sensing for budgeted localization in robot navigation.
International Journal of Semantic Computing. Vol 12 No 1 Pages 109--127.
[ PDF | HTTP | DOI | BIB ]

[2018ACLI4580] - Cazé, R. and Stimberg, M. and Girard, B. (2018). [Re] Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.
ReScience. Vol 4 No 1 Pages 1.
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[2018ACLI4599] - Chatila,R. and Renaudo, E. and Andries, M. and Chavez Garcia, R.O. and Luce-Vayrac, P. and Gottstein, R. and Alami, R. and Clodic, A. and Devin, S. and Girard, B. and Khamassi, M. (2018). Towards Self-Aware Robots.
Frontiers in Robotics and AI. Vol 5 Pages 88.
[ PDF | HTTP | DOI | BIB ]

[2018ACLI4635] - Doncieux, S. and Filliat, D. and Diaz-Rodriguez, N. and Hospedales, T. and Duro, R. and Coninx, A. and Roijers, D.M. and Girard, B. and Perrin, N. and Sigaud, O. (2018). Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.
Frontiers in Neurorobotics. Vol 12 Pages 59.
[ PDF | HTTP | DOI | BIB ]

[2018ACLI4648] - Cazé, R.* and Khamassi, M.* and Aubin, L. and Girard, B. (2018). Hippocampal replays under the scrutiny of reinforcement learning models.
Journal of Neurophysiology. Vol 120 Pages 2877-2896.
[ PDF | HTTP | DOI | BIB ]

[2018COS4521] - Alexandre, F. and Dominey, P.F. and Gaussier, P. and Girard, B. and Khamassi, M. and Rougier, N.P. (2018). When Artificial Intelligence and Computational Neuroscience meet.
Marquis, P., Papini, O. and Prade, H. (Eds.) A guided tour of artificial intelligence research, Vol. 3 Interfaces and applications of artificial intelligence, Heidelberg, Germany: Springer-Verlag, publisher.
[ BIB ]

[2018ACTI4562] - Aubin, L. and Khamassi, M. and Girard, B. (2018). Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays .
Living Machines 2018. Vol 10928 Pages 16-27. Paris, France. https://arxiv.org/abs/1802.05594.
[ PDF | HTTP | DOI | BIB ]

[2018COM4583] - Liénard, J. and Girard, B. and Doya, K. (2018). Action selection and reinforcement learning in a Basal Ganglia model.
Eighth International Symposium on Biology of Decision Making. Paris, France. poster #59.
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[2018COM4584] - Berthelon, G. and Liénard, J. and Doya, K. and Girard, B. (2018). Dichotomous organization of the Globus Pallidus externa reproduces long pauses in a spiking model of the monkey Basal Ganglia.
Eighth International Symposium on Biology of Decision Making. Paris, France. poster #8.
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[2018COM4585] - Cinotti, F. and Fresno, V. and Aklil, N. and Coutureau, E. and Girard, B. and Marchand, A. and Khamassi, M. (2018). Dopamine regulation of the exploration-exploitation trade-off in rats.
Eighth International Symposium on Biology of Decision Making (SBDM 2018). Paris, France. poster # 17.
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[2018COM4586] - Aubin, L. and Khamassi, M. and Girard, B. (2018). Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays.
Learning and decision-making at the interface between Neuroscience, Artificial Intelligence and Robotics workshop.. Paris, France. Satellite workshop of SBDM2018.
[ HTTP | BIB ]

[2018COM4597] - Gutierrez, C.E. and Igarashi, J. and Liénard, J. and Girard, B. and Plesser, H.E. and Diesmann, M. and Doya, K. (2018). Scaling of multiple-receptor synaptic connection methods in NEST.
NEST conference. Ås, Norway. abstract & poster.
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[2018COM4667] - Liénard, J. and Girard, B. and Doya, K. (2018). Examination of the roles of basal ganglia afferents in action selection and learning by spiking neuron models.
SfN Meeting 2018. San Diego, CA, USA. poster #702.02.
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[2018COM4671] - Girard, B. and Liénard, J. and Chateau Laurent, H. and Doya, K. (2018). Selection and oscillations in a spiking model of the Basal Ganglia.
Neuralnet2018 - Understanding neural networks : from dynamics to functions. Paris. Poster.
[ BIB ]

[2018AP4672] - Cinotti, F. and Fresno, V. and Aklil, N. and Coutureau, E. and Girard, B. and Marchand, A. and Khamassi, M. (2018). Dopamine regulates the exploration-exploitation trade-off in rats.
Published : bioRxiv preprint..
[ PDF | HTTP | DOI | BIB ]

2017

[2017ACLI4466] - Rougier, N.P. and Hinsen, K. and Alexandre, F. and Arildsen, T. and Barba, L. and Benureau, F.C.Y. and Brown, C.T. and de Buyl, P. and Caglayan, O. and Davison, A.P. and Delsuc, M.A. and Detorakis, G. and Diem, A.K. and Drix, D. and Enel, P. and Girard, B. and Guest, O. and Hall, M.G. and Henriques, R.N. and Hinaut, X. and Jaron, K.S. and Khamassi, M. and Klein, A. and Manninen, T. and Marchesi, P. and McGlinn, D. and Metzner, C. and Petchey, O.L. and Plesser, H.E. and Poisot, T. and Ram, K. and Ram, Y. and Roesch, E. and Rossant, C. and Rostami, V. and Shifman, A. and Stachelek, J. and Stimberg, M. and Stollmeier, F. and Vaggi, F. and Viejo, G. and Vitay, J. and Vostinar, A. and Yurchak, R. and Zito, T. (2017). Sustainable computational science: the ReScience initiative.
PeerJ Computer Science. Vol 3 Pages e142.
[ PDF | HTTP | DOI | BIB ]

[2017ACLI4534] - Babayan, B.M. and Watilliaux, A. and Viejo, G. and Paradis, A.-L. and Girard, B. and Rondi-Reig, L. (2017). A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation.
Scientific Reports. Vol 7 Pages 17812.
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[2017INVI4026] - Girard, B. (2017). Function agnostic basal ganglia models, which perform action selection and oscillate under dopamine depletion.
New trends in decision-making: Theory and evidence - A Neuroeconomics symposium. Paris, France. invited conference.
[ BIB ]

[2017INVI4512] - Girard, B. (2017). Function agnostic basal ganglia models, which perform action selection and oscillate under dopamine depletion..
Integrated neuronal and cognitive models. Bochum, Germany. invited conference.
[ BIB ]

[2017INVN4513] - Girard, B. (2017). Function agnostic basal ganglia models, which perform action selection and oscillate under dopamine depletion..
Journées NeuroSTIC. Brest. invited conference.
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[2017ACTI3861] - Aklil, N. and Girard, B. and Khamassi, M. and Denoyer, L. (2017). Sequential Action Selection for Budgeted Localization in Robots.
IEEE Robotic Computing 2017. Pages -. Taipei, Taiwan.
[ PDF | HTTP | BIB ]

[2017ACTI3981] - Cinotti, F. and Fresno, V. and Aklil, N. and Coutureau, E. and Girard, B. and Marchand, A. and Khamassi, M. (2017). Dopamine enables dynamic regulations of exploration.
Third Multidisciplinary Conference on Reinforcement Learning and Decision Making. Pages extended abstract. Ann Arbor, Michigan.
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[2017COM4027] - Cinotti, F. and Fresno, V. and Aklil, N. and Coutureau, E. and Girard, B. and Marchand, A. and Khamassi, M. (2017). Dopamine enables dynamic regulation of exploration.
Seventh International Symposium on Biology of Decision Making (SBDM 2017). Bordeaux, France. poster.
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[2017COM4028] - Girard, B. and Heraiz-Bekkis, D. and Doya, K. (2017). A spiking model of the monkey basal ganglia without segregated pathways, but with emerging selection capabilities and Parkinson-like oscillations.
Seventh International Symposium on Biology of Decision Making. Bordeaux, France. poster.
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[2017COM4029] - Ecoffet, P. and Girard, B. and Doncieux, S. (2017). Computational model of birdsong learning and influence of sleep and replays with Zebra Finches.
European Birdsong meeting (EBM). Bordeaux, France. Poster.
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[2017COM4476] - Cazé, R. and Khamassi, M. and Doncieux, S. and Girard, B. (2017). The exclusive-or: a key for the reliable propagation of synchronous activity in the hippocampus?.
Integrated Systems Neuroscience 2017 meeting. Manchester, UK. poster.
[ BIB ]

[2017AP4465] - Liénard, J. and Cos, I. and Girard, B. (2017). Beta-Band Oscillations without Pathways: the opposing Roles of D2 and D5 Receptors.
Published : bioRxiv preprint..
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2016

[2016ACLI3623] - Viejo, G. and Girard, B. and Khamassi, M. (2016). [Re] Speed/accuracy trade-off between the habitual and the goal-directed process .
ReScience. Vol 2 No 1 Pages NA.
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[2016ACLN3683] - Khamassi, M. and Girard, B. and Clodic, A. and Devin, S. and Renaudo, E. and Pacherie, E. and Alami, R. and Chatila, R. (2016). Integration of Action, Joint Action and Learning in Robot Cognitive Architectures.
Intellectica. Vol 2016/1 No 65 Pages 169-203.
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[2016ACLN3723] - Girard, B. and Khamassi, M. (2016). Coopération de systèmes d’apprentissage par renforcement multiples.
Techniques de l'Ingénieur. Vol S7793 Pages 1-16.
[ BIB ]

[2016INVI3727] - Girard, B. (2016). Models of egocentric sequence learning: cerebellum-hippocampus interactions.
1st Interdisciplinary Navigation Symposium (iNAV). Bad Gastein, Austria. invited conference.
[ BIB ]

[2016INVN3707] - Girard, B. (2016). Computational modelling of the dual role of dopamine in learning and exploration regulation.
GDR NeuroMem meeting. Lacanau, France. invited conference.
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[2016INVN3713] - Girard, B. (2016). Underworld decisions: Selection & learning models of the tecto-basal loops.
2e Symposium des Neurosciences Computationnelles à l'UPMC. Paris, France. invited conference.
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[2016COM3715] - Girard, B. (2016). Apprentissages multiples, substrats neuronaux et modèles .
Journée Apprentissage et Intelligence Artificielle: les vraies questions éthiques CERNA. Paris, France.
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[2016COM3814] - Cinotti, F. and Fresno, V. and Aklil, N. and Coutureau, E. and Girard, B. and Marchand, A. and Khamassi, M. (2016). Dopamine blockade affects exploration but not learning rate in a non-stationary 3-armed bandit task .
Sixth Symposium on Biology of Decision Making (SBDM 2016). Paris, France.
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2015

[2015ACLI3357] - Thurat, C. and N'Guyen, S. and Girard, B. (2015). Biomimetic Race Model of the Loop between the Superior Colliculus and the Basal Ganglia: Subcortical Selection of Saccade Targets.
Neural Networks. Vol 67 Pages 54-73.
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[2015ACLI3398] - Cos, I. and Girard, B. and Guigon, E. (2015). Balancing out dwelling and moving: optimal sensorimotor synchronization.
Journal of Neurophysiology. Vol 114 Pages 146-158.
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[2015ACLI3543] - Viejo, G. and Khamassi, M. and Brovelli, A. and Girard, B. (2015). Modelling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning.
Frontiers in Behavioral Neuroscience. Vol 9 Pages 225.
[ PDF | HTTP | DOI | BIB ]

[2015ACLI3610] - Marcos, E. and Cos, I. and Girard, B. and Verschure, P.F.M.J. (2015). Motor Cost Influences Perceptual Decisions.
PLoS ONE. Vol 10 No 12 Pages e0144841.
[ PDF | HTTP | DOI | BIB ]

[2015INVN3461] - Girard, B. (2015). Underworld decisions: selection & learning models of the tecto-basal loops.
Club Mouvements Oculaires. Montpellier, France. invited conference.
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[2015ACTI3559] - Renaudo, E and Girard, B. and Chatila, R and Khamassi, M. (2015). Respective advantages and disadvantages of model-based and model-free reinforcement learning in a robotics neuro-inspired cognitive architecture.
Biologically Inspired Cognitive Architectures BICA 2015. Vol 71 Pages 178-184. Lyon, France.
[ PDF | HTTP | DOI | BIB ]

[2015ACTI3502] - Renaudo, E. and Girard, B. and Chatila, R. and Khamassi, M. (2015). 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). Pages 254-260. Providence, RI, USA.
[ PDF | HTTP | BIB ]

[2015ACTI3526] - Leang, I. and Herbin, S. and Girard, B. and Droulez, J. (2015). Robust Fusion of Trackers using on-line Drift Prediction.
Advanced Concepts for Intelligent Vision Systems (ACIVS 2015). Vol 9386 Pages 229-240. Catania, Italy.
[ DOI | BIB ]

[2015ACTN3494] - Leang, I. and Herbin, S. and Girard, B. and Droulez, J. (2015). Prédiction sélective des traitements pour le suivi d'objet.
ORASIS. Pages 8. Amiens, France.
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[2015COM3340] - Liénard, J. and Bellot, J. and Cos, I. and Khamassi, M. and Girard, B. (2015). Transmission delays in the basal ganglia proper are sufficient to explain beta-band oscillations in Parkinson's disease: mean-field and reduced models.
Workshop on Neural Population Dynamics. Gif-sur-Yvette, France. abstract & poster.
[ BIB ]

[2015COM3414] - Marchand, A. and Fresno, V. and Aklil, N. and Cinotti, F. and Girard, B. and Khamassi, M. and Coutureau, E. (2015). Striatal dopamine controls exploration in a probabilistic task.
Fifth Symposium on Biology of Decision Making (SBDM 2015). Paris, France. Poster.
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[2015COM3416] - Girard, B. and Aklil, N. and Cinotti, F. and Fresno, V. and Denoyer, L. and Coutureau, E. and Khamassi, M. and Marchand, A. (2015). Modelling rat learning behavior under uncertainty in a non-stationary multi-armed bandit task.
Colloque de la Société des Neurosciences Françaises. Montpellier, France. Poster.
[ BIB ]

[2015COM3417] - Viejo, G. and Khamassi, M. and Brovelli, A. and Girard, B. (2015). Modelling choice and reaction time during instrumental learning through the coordination of adaptive working-memory and reinforcement learning.
Colloque de la Société des Neurosciences Françaises. Montpellier, France. Poster.
[ BIB ]

[2015COM3503] - Renaudo, E. and Devin, S. and Girard, B. and Chatila, R. and Alami, R. and Khamassi, M. and Clodic, A. (2015). Learning to interact with humans using goal-directed and habitual behaviors.
Workshop on Learning for Human-Robot Collaboration at RO-MAN 2015 Conference. Kobe, Japan.
[ PDF | BIB ]

2014

[2014ACLI2886] - Liénard, J. and Girard, B. (2014). A Biologically Constrained Model of the Whole Basal Ganglia Addressing the Paradoxes of Connections and Selection.
Journal of Computational Neuroscience. Vol 36 No 3 Pages 445--468.
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[2014ACLI3077] - N'Guyen, S. and Thurat, C. and Girard, B. (2014). Saccade learning with concurrent cortical and subcortical basal ganglia loops.
Frontiers in Computational Neuroscience. Vol 8 Pages 48.
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[2014COS3041] - Girard, B. (2014). Basal Ganglia: Control of Saccades.
Encyclopedia of Computational Neuroscience.
[ DOI | BIB ]

[2014ACTI3089] - Renaudo, E. and Girard, B. and Chatila, R. and Khamassi, M. (2014). Design of a control architecture for habit learning in robots.
Biomimetic & Biohybrid Systems, Third International Conference, Living Machines 2014. Vol 8608 Pages 249--260.
[ PDF | HTTP | DOI | BIB ]

[2014COM3138] - Marcos, E. and Cos, I. and Cisek, P. and Girard, B. and Verschure, P. (2014). The motor cost of actions biases perceptual decisions.
Fourth Symposium on Biology of Decision - Making (SBDM 2014). Paris.
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[2014COM3139] - Viejo, G. and Khamassi, M. and Brovelli, A. and Girard, B. (2014). Modelling choice and reaction time during instrumental learning through the coordination of adaptive working memory and reinforcement learning.
Fourth Symposium on Biology of Decision Making (SBDM 2014). Paris. Poster.
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[2014COM3140] - Aklil, N. and Marchand, A. and Fresno, V. and Coutureau, E. and Denoyer, L. and Girard, B. and Khamassi, M. (2014). Modelling rat learning behavior under uncertainty in a non-stationary multi-armed bandit task.
Fourth Symposium on Biology of Decision Making (SBDM 2014). Paris. Poster.
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[2014COM3141] - Babayan, B. and Watilliaux, A. and Tobin, C. and Girard, B. and Rondi-Reig, L. (2014). Unraveling the neural circuitry of sequence - based navigation using a combined Fos imaging and computational approach .
Fourth Symposium on Biology of Decision - Making (SBDM 2014). Paris.
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[2014COM3154] - Viejo, G. and Khamassi, M. and Brovelli, A. and Girard, B. (2014). Coordination of adaptive working memory and reinforcement learning systems explaining choice and reaction time in a human experiment.
Twenty Third Annual Computational Neuroscience Meeting: CNS*2014 BMC Neuroscience. Vol 15 No Suppl. 1 Pages P156. Quebec City, Canada. abstract & poster.
[ PDF | HTTP | DOI | BIB ]

[2014COM3234] - Bellot, J. and Liénard, J. and Khamassi, M. and Girard, B. (2014). Investigation of the effect of different dopaminergic levels on the basal ganglia action selection properties using a biologically constrained computational model.
Society for Neuroscience Annual Meeting. Washington, DC, USA. poster 555.23/TT42.
[ BIB ]

[2014COM3235] - Cos, I. and Rueda-Orozco, P. and Robbe, D. and Girard, B. (2014). The role of temporal variability during time-constrained motor sequences: A computational study.
SfN neuroscience meeting. Washington. poster 558.15/UU11.
[ BIB ]

[2014COM3236] - Babayan, B. and Watilliaux, A. and Tobin, C. and Girard, B. and Rondi-Reig, L. (2014). Unraveling the neural circuitry of sequence-based navigation using a combined Fos imaging and computational approach.
SfN neuroscience meeting. Washington. poster 848.27/UU42.
[ BIB ]

2013

[2013ACLI2727] - Dimiccoli, M. and Girard, B. and Berthoz, A. and Bennequin, D. (2013). Striola magica. A functional explanation of otolith geometry.
Journal of Computational Neuroscience. Vol 35 Pages 125--154.
[ HTTP | DOI | BIB ]

[2013ACLI2888] - Cos, I and Khamassi, M.* and Girard, B (2013). Modeling the Learning of Biomechanics and Visual Planning for Decision-Making of Motor Actions.
Journal of Physiology - Paris. Vol 107 No 5 Pages 399-408 (* corresponding author).
[ PDF | HTTP | DOI | BIB ]

[2013INVN2856] - Girard, B. (2013). Les robots peuvent-ils prendre des décisions ?.
La Décision, journée d'étude interdisciplinaire. Paris, France. invited conference.
[ BIB ]

[2013INVN2854] - Babayan, B. and Girard, B. (2013). Dynamic learning of spatio-temporal sequences.
11th meeting of the French Neuroscience Society. Lyon-Grenoble, France. invited conference S10.2.
[ BIB ]

[2013COM2881] - Cos, I and Rueda-Orozco, P. and Robbe, D. and Girard, B. (2013). Learning a sequence of motor responses to attain reward: a speed- accuracy trade-off .
Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France. poster P143.
[ HTTP | BIB ]

[2013COM2826] - Girard, B. and Liénard, J. (2013). A Mean-Field Model of the Whole Basal Ganglia Addressing Mysteries of the Circuit´s Connectivity..
11th meeting of the French Neuroscience Society. Lyon-Grenoble, France. poster P2.211.
[ HTTP | BIB ]

[2013COM2852] - Khamassi, M. and Bellot, J. and Sigaud, O. and Girard, B. (2013). Which temporal difference learning algorithm best reproduces dopamine activity in multi-choice task?.
11th meeting of the French Neuroscience Society. Lyon-Grenoble, France. poster P2.214.
[ BIB ]

[2013COM2853] - Babayan, B. and Watilliaux, A. and Girard, B. and Rondi-Reig, L. (2013). Dynamic learning of a spatio-temporal sequence as a model of memory interaction.
11th meeting of the French Neuroscience Society. Lyon-Grenoble, France. poster P2.191.
[ BIB ]

[2013COM2868] - Bellot, J and Sigaud, O. and Girard, B. and Khamassi, M. (2013). Which temporal difference learning algorithm best reproduces dopamine activity in multi-choice task?.
Third Symposium on Biology of Decision Making (SBDM 2013). Paris. Poster #5.
[ BIB ]

[2013COM2869] - Liénard, J. and Girard, B. (2013). A mean-field model of the whole basal ganglia addressing mysteries of the circuit's connectivity.
Third Symposium on Biology of Decision - Making (SBDM 2013). Paris. Poster #61.
[ BIB ]

[2013COM2870] - Thurat, C. and N'Guyen, S. and Girard, B. (2013). Biomimetic stochastic race model in the subcortical saccadic selection processes: a model of the tecto-basal loops .
Third Symposium on Biology of Decision - Making (SBDM 2013). Paris. Poster #21.
[ BIB ]

[2013COM2882] - Bellot, J. and Khamassi, M. and Sigaud, O. and Girard, B. (2013). Which Temporal Difference learning algorithm best reproduces dopamine activity in a multi-choice task?.
Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France. poster P144.
[ HTTP | BIB ]

[2013COM2883] - Thurat, C. and N'Guyen, S. and Girard, B. (2013). Biomimetic stochastic race model in the subcortical saccadic selection processes: a model of the tecto-basal loops.
Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France. poster P145.
[ HTTP | BIB ]

[2013COM2884] - Liénard, J. and Girard, B. (2013). A computational model of the basal ganglia dual pathways organization.
Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France. poster P146.
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[2013COM2885] - Marcos, E. and Cos, I., and Cisek, P. and Girard, B. and Verschure, P.F.M.J. (2013). Biomechanical costs of reaching movements bias perceptual decisions.
Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France. poster P408.
[ HTTP | BIB ]

[2013COM2960] - Liénard, J. and Cos, I. and Girard, B. (2013). A model of how the transmission delays in the basal ganglia proper cause beta-band oscillations in Parkinson\'s disease.
SfN neuroscience meeting. San Diego. poster 241.22 / O5.
[ BIB ]

[2013COM2961] - Babayan, B. and Watilliaux, A. and Tobin, C. and Girard, B. and Rondi-Reig, L. (2013). Dynamic learning of a spatio-temporal sequence as a model of memory systems interaction.
SfN neuroscience meeting. San Diego. poster 669.18.
[ BIB ]

[2013COM3206] - Cos, I. and Rueda Orozco, P. and Robbe, D. and Girard, B. (2013). Learning time-constrained motor sequences to attain reward: A speed-accuracy trade-off.
SfN neuroscience meeting. San Diego. poster 77.11/TT5.
[ BIB ]

2012

[2012ACLI2232] - Caluwaerts, K. and Staffa, M. and N'Guyen, S. and Grand, C. and Dollé, L. and Favre-Felix, A. and Girard, B. and Khamassi, M. (2012). A biologically inspired meta-control navigation system for the Psikharpax rat robot.
Bioinspiration & Biomimetics. Vol 7(2):025009 Pages 1-29.
[ PDF | HTTP | DOI | BIB ]

[2012INVI2400] - Girard, B. (2012). Interaction of model-based and model-free learning processes in rodent navigation.
2nd Symposium on Biological Decision Making. CRICM, Paris. invited conference.
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[2012INVN2713] - Girard, B. (2012). Architecture and models of the brain saccadic movement circuitry.
NeuroComp / KEOpS\'12 workshop. Bordeaux, France. invited conference.
[ BIB ]

[2012ACTI2393] - Caluwaerts, K. and Favre-Felix, A. and Staffa, M. and N'Guyen, S. and Grand, C. and Girard, B. and Khamassi, M. (2012). Neuro-inspired navigation strategies shifting for robots: Integration of a multiple landmark taxon strategy.
Living Machines 2012, Lecture Notes in Artificial Intelligence, Prescott, T.J. et al. (Eds.). Vol 7375/2012 Pages 62-73. Barcelona, Spain.
[ PDF | HTTP | DOI | BIB ]

[2012ACTN2684] - Bellot, J. and Sigaud, O. and Roesch, M. R. and Schoenbaum, G. and Girard, B and Khamassi, M. (2012). Dopamine neurons activity in a multi-choice task: reward prediction error or value function?.
Proceedings of the French Computational Neuroscience NeuroComp/KEOpS\'12 workshop. Pages 1-7. Bordeaux, France.
[ PDF | HTTP | BIB ]

[2012ACTN2714] - Cos, I. and Girard, B. and Cisek, P. (2012). A Modelling Perspective on the Role of Biomechanics on Motor Decision-Making.
NeuroComp / KEOpS'12 workshop. Pages 1-6.
[ PDF | HTTP | BIB ]

[2012ACTN2715] - Thurat, C. and N'Guyen, S. and Girard, B. (2012). Neural accumulator model of the subcortical target selection processes for saccades..
NeuroComp / KEOpS'12 workshop. Pages 1-7. Bordeaux, France.
[ PDF | HTTP | BIB ]

[2012COM2401] - Liénard, J. and Girard, B. (2012). Quantitative modeling of the biological substrates of the Basal Ganglia : suitable for what kind of selection ?.
2nd Symposium on Biological Decision Making. CRICM, Paris. (Poster).
[ BIB ]

[2012COM2402] - Thurat, C. and N'Guyen, S. and Girard, B. (2012). Neural model of the subcortical saccadic selection in the tecto-basal loops.
2nd Symposium on Biological Decision Making. CRICM, Paris. (Poster).
[ BIB ]

[2012COM2403] - Caluwaerts, K. and Staffa, M. and N'Guyen, S. and Grand, C. and Dollé, L. and Favre-Félix, A. and Girard, B. and Khamassi, M. (2012). A biologically inspired meta-control navigation system for the Psikharpax rat robot.
Second Symposium on Biology of Decision Making (SBDM 2012). Paris, France. Poster.
[ HTTP | BIB ]

[2012COM2723] - Liénard, J. and Girard, B. (2012). Integration of detailed primate anatomical and electrophysiological data in a model of the basal ganglia using multi-objective evolutionary algorithms.
Modern evolutionary algorithms in computational neuroscience Workshop. Decatur.
[ HTTP | BIB ]

[2012COM2815] - Babayan, B. and Watilliaux, A. and Girard, B. and Rondi-Reig, L. (2012). Dynamic learning of a spatio-temporal sequences as a model of memory interaction.
8th FENS forum of neuroscience. Vol 6 Pages 044.26. Barcelona, Spain.
[ BIB ]

2011

[2011COM2060] - Thurat, C. and N'Guyen, S. and Girard, B. (2011). Subcortical saccadic selection processes: A model of the tecto-basal loops.
16th European Conference on Eye Movements (ECEM 2011). Marseille, France. (Abstract & Poster).
[ HTTP | BIB ]

[2011COM2149] - Doncieux, S. and Mouret, J.B. and Pinville, T. and Tonelli, P. and Girard, B. (2011). The EvoNeuro Approach to Neuro-Evolution.
Workshop on Development and Learning in Artificial Neural Networks (DevLeANN). -.
[ PDF | BIB ]

[2011COM2172] - Liénard, J. and Girard, B. (2011). Integration of detailed primate anatomical and electrophysiological data in a model of the basal ganglia circuitry using multi-objective evolutionary algorithms.
SfN 2011. Washington, USA. (slide session).
[ BIB ]

2010

[2010ACLI1578] - Dollé, L. and Sheynikhovich,D. and Girard,B. and Chavarriaga,R. and Guillot,A. (2010). Path planning versus cue responding: a bioinspired model of switching between navigation strategies.
Biological Cybernetics. Vol 103 No 4 Pages 299-317.
[ BIB ]

[2010DO1639] - Doncieux, S. and Girard, B. and Guillot, A. and Hallam, J. and Meyer, J.-A. and Mouret, J.-B. (2010). From Animals to Animats 11.
, Springer, publisher. Vol 6226
[ HTTP | BIB ]

[2010INVI1859] - Girard, B. (2010). Underworld decisions: towards models of the tecto-basal loops for saccadic selection.
Sensorimotor computations: the control of gaze. Paris, France. invited conference.
[ BIB ]

[2010INVI1862] - Girard, B. (2010). Modeling the role of the basal ganglia in action selection.
8th Computational Neuroscience Day: Computational Approaches to Cognitive Function. Paris, France. invited conference.
[ BIB ]

[2010ACTI1526] - Mouret, J.-B. and Doncieux, S. and Girard, B. (2010). Importing the Computational Neuroscience Toolbox into Neuro-Evolution---Application to Basal Ganglia.
GECCO'10: Proceedings of the 12th annual conference on Genetic and evolutionary computation ACM, publisher . Pages 587--594.
[ PS | PDF | BIB ]

[2010ACTI1528] - N'Guyen, S. and Pirim, P. and Meyer, J.-A. and Girard, B. (2010). An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot.
From animals to animats 11, Springer, publisher. Vol 6226 Pages 114--125.
[ PDF | BIB ]

[2010ACTI1529] - Liénard, J. and Guillot, A. and Girard, B. (2010). Multi-Objective Evolutionary Algorithms to Investigate Neurocomputational Issues : The Case Study of Basal Ganglia Models.
From animals to animats 11, Springer, publisher. Vol 6226 Pages 597--606.
[ PDF | BIB ]

[2010ACTI1531] - Dollé, L. and Sheynikhovich, D. and Girard, B. and Ujfalussy, B. and Chavarriaga, R. and Guillot, A. (2010). 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, Springer, publisher. Vol 6226 Pages 335--346.
[ BIB ]

[2010ACTI1819] - Colas, C. and Bessière, P. and Girard, B. (2010). Maximum entropy perception-action space: a Bayesian model of eye movement selection.
Proc. of the 30th Conf. on Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt), AIP, publisher. Vol 1305 Pages 83--90.
[ PDF | HTTP | DOI | BIB ]

[2010COM1680] - Dimicolli, M. and Bennequin, D. and Berthoz, A. and Girard, B. (2010). Functional explanation of otolith geometry.
SfN 2010. San Diego, CA, USA. (poster).
[ BIB ]

[2010THDR1625] - Girard, B. (2010). Modélisation neuromimétique : Sélection de l'action, navigation et exécution motrice.
. Paris, France. HDR. Université Pierre et Marie Curie (UPMC).
[ PDF | BIB ]

2009

[2009ACLI930] * - Colas, F. and Flacher, F. and Tanner, T. and Bessière, P. and Girard, B. (2009). Bayesian models of eye movement selection with retinotopic maps.
Biological Cybernetics. Vol 100 No 3 Pages 203--214.
[ PDF | HTTP | BIB ]

[2009ACTI1021] - Masson, C. and Girard, B. (2009). Decoding the Grid Cells for Metric Navigation Using the Residue Numeral System.
Advances in Cognitive Neurodynamics (II), Springer, publisher. Pages 459--464.
[ PDF | BIB ]

[2009ACTI1322] - Tran, M.-T. and Souères, P. and Taïx, M. and Girard, B. (2009). Eye-centered vs body-centered reaching control: A robotics insight into the neuroscience debate.
Robotics and Biomimetics (ROBIO 2009). Pages 568--573.
[ BIB ]

[2009COM967] - Tran, M.-T. and Souères, P. and Taïx, M. and Girard, B. (2009). A computational approach from robotics for testing eye-centered vs body-centered reaching control.
Progress in Motor Control 2009. Marseille. (poster).
[ BIB ]

[2009COM1312] - Dollé, L. and Sheynikhovich, D. and Girard, B. and Chavarriaga, R. and Guillot, A. (2009). A new computational model of switching between response-based and place-based navigation strategies.
The 4th Computational Cognitive Neuroscience Conference (CCNC09). Boston, MA, USA. (poster).
[ BIB ]

2008

[2008ACLI853] * - Girard, B. and Tabareau, N. and Pham, Q.C. and Berthoz, A. and Slotine, J.-J. (2008). Where neuroscience and dynamic system theory meet autonomous robotics: a contracting basal ganglia model for action selection.
Neural Networks. Vol 21 No 4 Pages 628--641.
[ PDF | BIB ]

[2008ACTI839] - Dollé, L. and Khamassi, M. and Girard, B. and Guillot, A. and Chavarriaga, R. (2008). Analyzing interactions between navigation strategies using a computational model of action selection.
Spatial Cognition VI. Learning, Reasoning, and Talking about Space, Berlin, Heidelberg: Springer-Verlag, publisher. Pages 71-86.
[ PDF | HTTP | DOI | BIB ]

[2008ACTN855] - Coninx, A. and Guillot, A. and Girard, B. (2008). Adaptive motivation in a biomimetic action selection mechanism.
NeuroComp 2008. Pages 158-162. Marseille, France.
[ PDF | BIB ]

[2008ACTN856] * - Colas, F. and Flacher, F. and Bessière, P. and Girard, B. (2008). Explicit uncertainty for eye movement selection.
NeuroComp 2008. Pages 103-107. Marseille, France.
[ PDF | BIB ]

2007

[2007ACLI852] * - Tabareau, N. and Bennequin, D. and Berthoz, A. and Slotine, J.-J. and Girard, B. (2007). Geometry of the superior colliculus mapping and efficient oculomotor computation.
Biological Cybernetics. Vol 97 No 4 Pages 279--292.
[ PDF | BIB ]

[2007INVI860] * - Tabareau, N. and Bennequin, D. and Berthoz, A. and Slotine, J.-J. and Girard, B. (2007). The coupling of the superior colliculus mapping and the spatiotemporal transformation.
Neural Bases of Motor Learning and Performance : From Cell to Function (satellite symposium of the 17th Annual Meeting of Neural Control of Movement). Carmona, Spain. invited conference.
[ BIB ]

[2007ACTI865] * - Slotine, J.-J. and Tabareau, N. and Girard, B. and Berthoz, A. (2007). Modelling the saccadic circuitry using contraction analysis.
Neurobotics: an interdisciplinary approach to the design of a new generation of high-performance robots (ICRA07 workshop). Pages 1--6. CD-ROM.
[ BIB ]

[2007COM859] * - Girard, B. and Tabareau, N. and Bennequin, D. and Slotine, J.-J. and Berthoz, A. (2007). A mathematical proof of the coupling of the spatiotemporal transformation and the superior colliculus mapping.
SfN 2007. San Diego, CA, USA. (slide session).
[ BIB ]

2006

[2006INVI866] * - Girard, B. (2006). ''Navigate or Die'' or A Review of multiple navigation strategy coordination models.
Multisensory Integration and Concurrent Parallel Memory Systems for Spatial Cognition (workshop of SAB'06). Roma, Italy. invited conference.
[ BIB ]

[2006ACTI857] * - Manfredi, L. and Maini, E.S. and Laschi, C. and Dario, P. and Girard, B. and Tabareau, N. and Berthoz, A. (2006). Implementation of a neurophysiological model of saccadic eye movements on an anthropomorphic robotic head.
IEEE-RAS Int. Conf. on Humanoid Robots. Pages 438--443.
[ BIB ]

[2006ACTN858] * - Girard, B. and Tabareau, N. and Berthoz, A. and Slotine, J.-J. (2006). Selective amplification using a contracting model of the basal ganglia.
NeuroComp 2006. Pages 30--33.
[ PDF | BIB ]

[2006COM861] * - Girard, B. and Tabareau, N. and Slotine, J.-J. and Berthoz, A. (2006). Using contraction analysis to design a model of the cortico-baso-thalamo-cortical loops.
EPFL LATSIS Symposium 2006, Dynamical principles for neuroscience and intelligent biomimetic devices. EPFL, Lausanne, Switzerland. (abstract and poster).
[ PS | BIB ]

2005

[2005ACLI387] - Girard, B. and Filliat, D. and Meyer, J.-A. and Berthoz, A. and Guillot, A. (2005). Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops.
Adaptive Behavior. Vol 13 No 2 Pages 115--130.
[ PDF | BIB ]

[2005ACLI426] - Khamassi, M. and Lachèze, L. and Girard, B. and Berthoz, A. and Guillot, A. (2005). Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats.
Adaptive Behavior. Vol 13 No 2 Pages 131-148.
[ PDF | HTTP | DOI | BIB ]

[2005ACLI457] - Meyer, J.-A. and Guillot, A. and Girard, B. and Khamassi, M. and Pirim, P. and Berthoz, A. (2005). The Psikharpax Project: Towards Building an Artificial Rat.
Robotics and Autonomous Systems. Vol 50 No 4 Pages 211-223.
[ PDF | HTTP | DOI | BIB ]

[2005ACLI854] * - Girard, B. and Berthoz, A. (2005). From brainstem to cortex: computational models of the saccade generation circuitry.
Progress in Neurobiology. Vol 77 No 4 Pages 215--251.
[ PDF | BIB ]

[2005ACTI851] * - Girard, B. and Tabareau, N. and Slotine, J.-J. and Berthoz, A (2005). Contracting model of the basal ganglia..
Modelling Natural Action Selection: Proceedings of an International Workshop, AISB Press, publisher. Pages 69--76. Brighton, UK.
[ PDF | BIB ]

2004

[2004ACTI371] - Filliat, D. and Girard, B. and Guillot, A. and Khamassi, M. and Lachèze, L. and Meyer, J.-A. (2004). State of the artificial rat Psikharpax.
From Animals to Animats 8: Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior, MIT Press, publisher. Pages 3-12. Cambridge, MA.
[ PDF | HTTP | BIB ]

[2004ACTI388] - Girard, B. and Filliat, D. and Meyer, J.-A. and Berthoz, A. and Guillot, A. (2004). An integration of two control architectures of action selection and navigation inspired by neural circuits in the vertebrates: The Basal ganglia.
Connectionist Models of Cognition and Perception II, Proceedings of the Eighth Neural Computation and Psychology Workshop, World Scientific, publisher. Pages 72--81.
[ PDF | BIB ]

[2004ACTI424] - Khamassi, M. and Girard, B. and Berthoz, A. and Guillot, A. (2004). Comparing three Critic Models of Reinforcement Learning in the Basal Ganglia Connected to a Detailed Actor in a S-R Task.
Proceedings of the Eighth International Conference on Intelligent Autonomous Systems, IOS Press, publisher. Pages 430-437. Amsterdam, The Netherlands.
[ PDF | HTTP | BIB ]

2003

[2003ACLI386] - Girard, B. and Cuzin, V. and Guillot, A. and Gurney, K.N. and Prescott, T.J. (2003). A Basal ganglia inspired model of action selection evaluated in a robotic survival task.
Journal of Integrative Neuroscience. Vol 2 No 3 Pages 179--200.
[ PDF | BIB ]

[2003COM425] - Khamassi, M. and Girard, B. and Guillot, A. and Berthoz, A. (2003). Mécanismes neuromimétiques d'apprentissage par renforcement dans l'architecture de contrôle du rat artificiel Psikharpax.
Poster presented at the french conference on artificial learning (CAp) within the frame of the AFIA platform, 1-4 july 2003. Laval, France.
[ BIB ]

[2003THDR384] - Girard, B. (2003). Intégration de la navigation et de la sélection de l'action dans une architecture de contrôle inspirée des ganglions de la base.
. Paris, France. These. LIP6/AnimatLab, Université Pierre et Marie Curie.
[ PDF | HTTP | BIB ]

2002

[2002ACTI385] - Girard, B. and Cuzin, V. and Guillot, A. and Gurney, K. N. and Prescott, T. J. (2002). Comparing a bio-inspired robot action selection mechanism with winner-takes-all.
From Animals to Animats 7. Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior, The MIT Press, publisher. Pages 75--84. Edinburgh, UK.
[ PDF | BIB ]

[2002COM862] - Laithier, S. and Girard, B. and Cuzin, V. and Prescott, T.J. and Gurney, K.N. (2002). A vertebrate brain-inspired model of action selection: More than a winner-takes-all?.
Robotics as Theoretical Biology Workshop (a workshop of SAB'02). Edinburgh, UK. (poster).
[ BIB ]

2001

[2001ACLN390] - Girard, B. and Robert, G. and Guillot, A. (2001). Jeux Vidéo et Intelligence Artificielle Située.
In Cognito. Vol 22 Pages 57--72.
[ PDF | BIB ]

[2001ACTN389] - Girard, B. and Robert, G. (2001). Intelligence Artificielle Située et Jeux Vidéo.
Actes de Conférence du IVème colloque Jeunes Chercheurs en Science Cognitives (CJC4), ISC, publisher. Pages 157--160. Lyon, France.
[ BIB ]