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Liste des publications (26).
[2020ACLI4831] - Girard, B. and Liénard, J. and Gutierrez, C.E. and Delord, B. and Doya, K. (2020). A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.
European Journal of Neuroscience, Wiley, publisher. Vol 00 Pages 1-24.
[ PDF | HTTP | DOI | BIB ]
[2019COM4680] - Gutierrez, C.E. and Igarashi, J. and Zhe, S. and Liénard, J. and Yamaura, H. and Yamazaki, T. and Morteza, H. and Girard, B. and Arbuthnott, G. and Plesser, H. and Diesmann, M. and Doya, K. (2019). A spiking neural network model of the whole-brain circuit linking basal ganglia, cerebellum and cortex.
Neuro2019. Niigata, Japan.
[ HTTP | BIB ]
[2019COM4683] - Girard, B. and Liénard, J. and Chateau Laurent, H. and Doya, K. (2019). Selection and oscillations in a spiking model of the Basal Ganglia..
Cerebellum-Striatum-Hippocampus network : bridging the gap between basic Science and Clinical Research.. Paris, France. poster.
[ BIB ]
[2019COM4686] - Gutierrez, C.E. and Igarashi, J. and Zhe, S. and Liénard, J. and Yamaura, H. and Yamazaki, T. and Morteza, H. and Girard, B. and Arbuthnott, G. and Plesser, H. and Diesmann, M. and Doya, K. (2019). A whole-brain spiking neural network model linking basal ganglia, cerebellum, cortex and thalamus.
28th Annual Computational Neuroscience Meeting. Barcelona, Spain.
[ BIB ]
[2019COM4692] - Girard, B. and Liénard, J. and Chateau Laurent, H. and Doya, K. (2019). Selection and oscillations in a spiking model of the Basal Ganglia.
IBAGS 2019. Biarritz, France.
[ HTTP | BIB ]
[2019COM4695] - Gutierrez, C. and Sun, Z. and Yamaura, H. and Morteza, H. and Igarashi, J. and Yamazaki, T. and Diesmann, M. and Liénard, J. and Girard, B. and Arbuthnott, G. and Plesser, H.E. and Doya, K. (2019). Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer.
NEST conference 2019. Ås, Norway. abstract & poster.
[ 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.
[ HTTP | BIB ]
[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.
[ 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.
[ HTTP | BIB ]
[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.
[ HTTP | BIB ]
[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 ]
[2018COM4674] - Gutierrez, C.E. and Liénard, J. and Girard, B. and Igarashi, J. and Arbuthnott, G.W. and Doya, K. (2018). Spiking neural network model of the basal ganglia with realistic topological organization.
Advances in Neuroinformatics (AINI 2018). Saitama, Japan. poster PS15.
[ HTTP | DOI | 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..
[ HTTP | BIB ]
[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 ]
[2015AP4699] - Doncieux, S. and Liénard, J. and Girard, B. and Hamdaoui, M. and Chaskalovic, J. (2015). Multi-objective analysis of computational models.
Published : arXiv preprint..
[ PDF | HTTP | BIB ]
[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.
[ 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 ]
[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 ]
[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 ]
[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.
[ 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 ]
[2013THDR3205] - Liénard, J. (2013). Modèles des Ganglions de la Base : Étude de l\'anatomie fonctionnelle et de la Pathophysiologie à l\'aide d\'Algorithmes Évolutionnistes Multi-Objectifs.
. Paris, France. These de doctorat. UPMC.
[ 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 ]
[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 ]
[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 ]
[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 ]
2020
[2020ACLI4831] - Girard, B. and Liénard, J. and Gutierrez, C.E. and Delord, B. and Doya, K. (2020). A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection.
European Journal of Neuroscience, Wiley, publisher. Vol 00 Pages 1-24.
[ PDF | HTTP | DOI | BIB ]
2019
[2019COM4680] - Gutierrez, C.E. and Igarashi, J. and Zhe, S. and Liénard, J. and Yamaura, H. and Yamazaki, T. and Morteza, H. and Girard, B. and Arbuthnott, G. and Plesser, H. and Diesmann, M. and Doya, K. (2019). A spiking neural network model of the whole-brain circuit linking basal ganglia, cerebellum and cortex.
Neuro2019. Niigata, Japan.
[ HTTP | BIB ]
[2019COM4683] - Girard, B. and Liénard, J. and Chateau Laurent, H. and Doya, K. (2019). Selection and oscillations in a spiking model of the Basal Ganglia..
Cerebellum-Striatum-Hippocampus network : bridging the gap between basic Science and Clinical Research.. Paris, France. poster.
[ BIB ]
[2019COM4686] - Gutierrez, C.E. and Igarashi, J. and Zhe, S. and Liénard, J. and Yamaura, H. and Yamazaki, T. and Morteza, H. and Girard, B. and Arbuthnott, G. and Plesser, H. and Diesmann, M. and Doya, K. (2019). A whole-brain spiking neural network model linking basal ganglia, cerebellum, cortex and thalamus.
28th Annual Computational Neuroscience Meeting. Barcelona, Spain.
[ BIB ]
[2019COM4692] - Girard, B. and Liénard, J. and Chateau Laurent, H. and Doya, K. (2019). Selection and oscillations in a spiking model of the Basal Ganglia.
IBAGS 2019. Biarritz, France.
[ HTTP | BIB ]
[2019COM4695] - Gutierrez, C. and Sun, Z. and Yamaura, H. and Morteza, H. and Igarashi, J. and Yamazaki, T. and Diesmann, M. and Liénard, J. and Girard, B. and Arbuthnott, G. and Plesser, H.E. and Doya, K. (2019). Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer.
NEST conference 2019. Ås, Norway. abstract & poster.
[ BIB ]
2018
[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.
[ HTTP | BIB ]
[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.
[ 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.
[ HTTP | BIB ]
[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.
[ HTTP | BIB ]
[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 ]
[2018COM4674] - Gutierrez, C.E. and Liénard, J. and Girard, B. and Igarashi, J. and Arbuthnott, G.W. and Doya, K. (2018). Spiking neural network model of the basal ganglia with realistic topological organization.
Advances in Neuroinformatics (AINI 2018). Saitama, Japan. poster PS15.
[ HTTP | DOI | BIB ]
2017
[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..
[ HTTP | BIB ]
2015
[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 ]
[2015AP4699] - Doncieux, S. and Liénard, J. and Girard, B. and Hamdaoui, M. and Chaskalovic, J. (2015). Multi-objective analysis of computational models.
Published : arXiv preprint..
[ PDF | HTTP | 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.
[ 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 ]
2013
[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 ]
[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 ]
[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.
[ 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 ]
[2013THDR3205] - Liénard, J. (2013). Modèles des Ganglions de la Base : Étude de l\'anatomie fonctionnelle et de la Pathophysiologie à l\'aide d\'Algorithmes Évolutionnistes Multi-Objectifs.
. Paris, France. These de doctorat. UPMC.
[ HTTP | BIB ]
2012
[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 ]
[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 ]
2011
[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
[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 ]