Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1M. Carrere, F. Alexandre.
    A pavlovian model of the amygdala and its influence within the medial temporal lobe, in: Frontiers in Systems Neuroscience, March 2015, 14 p. [ DOI : 10.3389/fnsys.2015.00041 ]
    https://hal.inria.fr/hal-01145790
  • 2R. Kassab, F. Alexandre.
    Integration of exteroceptive and interoceptive information within the hippocampus: a computational study, in: Frontiers in Systems Neuroscience, June 2015. [ DOI : 10.3389/fnsys.2015.00087 ]
    https://hal.inria.fr/hal-01237876
  • 3W. Taouali, L. Goffart, F. Alexandre, N. P. Rougier.
    A parsimonious computational model of visual target position encoding in the superior colliculus, in: Biological Cybernetics, October 2015, vol. 109, no 4-5. [ DOI : 10.1007/s00422-015-0660-8 ]
    https://hal.inria.fr/hal-01201785
  • 4M. Topalidou, A. Leblois, T. Boraud, N. P. Rougier.
    A Long Journey into Reproducible Computational Neuroscience, in: Frontiers in Computational Neuroscience, February 2015, 2 p. [ DOI : 10.3389/fncom.2015.00030 ]
    https://hal.inria.fr/hal-01117873
  • 5M. Topalidou, N. P. Rougier.
    [Re] Interaction between cognitive and motor cortico-basal ganglia loops during decision making: a computational study, in: ReScience, August 2015, vol. 1, no 1. [ DOI : 10.5281/zenodo.27944 ]
    https://hal.inria.fr/hal-01201790

Invited Conferences

  • 6F. Alexandre.
    Intégrer le rôle des émotions dans la modélisation cognitive: apport des neurosciences, in: Journée pour la Modélisation de l'Irrationnel dans la Cognition (JMIC), Talence, France, January 2015.
    https://hal.inria.fr/hal-01237889
  • 7F. Alexandre.
    Modeling non-standard pathways in early vision : role of the thalamus, in: 12th meeting of the french society of Neuroscience, Montpellier, France, May 2015.
    https://hal.inria.fr/hal-01237888
  • 8N. P. Rougier.
    Distributed, Asynchronous, Numerical and Adaptive computing: from neurons to behavior, in: BioComp workshop, Saint Paul de Vence, France, GDR BioComp, October 2015.
    https://hal.inria.fr/hal-01213784

International Conferences with Proceedings

  • 9L. Campagnola, A. Klein, E. Larson, C. Rossant, N. P. Rougier.
    VisPy: Harnessing The GPU For Fast, High-Level Visualization, in: Proceedings of the 14th Python in Science Conference, Austin, Texas, United States, K. Huff, J. Bergstra (editors), July 2015.
    https://hal.inria.fr/hal-01208191
  • 10M. Carrere, F. Alexandre.
    Modeling pavlovian conditioning with multiple neuronal populations, in: IEEE International Joint Conference on Neural Networks, Killarney, Ireland, Proceeding IEEE International Joint Conference on Neural Networks, July 2015. [ DOI : 10.1109/IJCNN.2015.7280716 ]
    https://hal.inria.fr/hal-01237877

Conferences without Proceedings

  • 12M. Duflot, M. Quinson, F. Masseglia, D. Roy, J. Vaubourg, T. Viéville.
    When sharing computer science with everyone also helps avoiding digital prejudices, in: Scratch2015AMS, Amsterdam, Netherlands, August 2015.
    https://hal.inria.fr/hal-01154767
  • 13T. Meropi.
    The formation of habits: The implicit supervision of the basal ganglia, in: 12e Colloque de la Société des Neurosciences, Réunion du CGB, Montpellier, France, May 2015.
    https://hal.inria.fr/hal-01252742
  • 14M. Topalidou, D. Kase, T. Boraud, N. Rougier.
    The formation of habits: a computational model mixing reinforcement and Hebbian learning, in: The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, Canada, June 2015.
    https://hal.inria.fr/hal-01252744

Scientific Books (or Scientific Book chapters)

  • 15F. Alexandre.
    A behavioral framework for a systemic view of brain modeling, in: Computational Models of Brain and Behavior, 2016.
    https://hal.inria.fr/hal-01246653
  • 16N. Denoyelle, M. Carrere, F. Pouget, T. Viéville, F. Alexandre.
    From biological to numerical experiments in systemic neuroscience: a simulation platform, in: Advances in Neurotechnology, Electronics and Informatics, A. Londral, P. Encarnação (editors), Biosystems & Biorobotics, Springer, November 2015, vol. 12.
    https://hal.inria.fr/hal-01227968
  • 17R. Kassab, F. Alexandre.
    A Modular Network Architecture Resolving Memory Interference through Inhibition, in: Studies in Computational Intelligence, 2016.
    https://hal.inria.fr/hal-01251022

Internal Reports

  • 18C. Canellas, C. Daniel, C. Terosier, C. De La Higuera, D. Guegant-Silva, F. Greffier, G. Hutzler, M. Courbin-Coulaud, P. Dubuc, S. De Quatrebarbes, T. Viéville, V. François.
    Pour apprendre à apprendre l’informatique, peut-on se contenter d’un MOOC ?, Inria, September 2015, no RT-469, 21 p.
    https://hal.inria.fr/hal-01207356

Scientific Popularization

  • 19S. Alayrangues, E. Sopena, T. Vieville.
    Médiation scientifique : de la science informatique au grand public, Société informatique de France, February 2015.
    https://hal.inria.fr/hal-01238440
  • 20S. Alayrangues, G. Dowek, E. Kerrien, J. Mairesse, T. Viéville.
    Médiation en sciences du numériques : un levier pour comprendre notre quotidien ?, in: Science & You, Nancy, France, June 2015.
    https://hal.inria.fr/hal-01211457
  • 21F. Alexandre.
    Où sont les vrais dangers de l'intelligence artificielle ?, April 2015, Pour la Science.
    https://hal.inria.fr/hal-01237897
  • 22F. Alexandre.
    Rien de neuf sous le soleil de l’Intelligence Artificielle, February 2015, http://www.scilogs.fr/intelligence-mecanique/rien-de-neuf-sous-le-soleil-de-lia/.
    https://hal.inria.fr/hal-01237896
  • 23I. Chraibi Kaadoud, T. Vieville.
    Finalement l’apprentissage profond : est-ce une idée creuse ?, September 2015, 4 p, Publication sur le blog de http://www.scilogs.fr/intelligence-mecanique de quatre articles sur les réseaux de neurones profonds.
    https://hal.inria.fr/hal-01238525
  • 24C. Héricé, I. Chraibi Kaadoud, F. Alexandre.
    Bio-inspired modeling in the digital and health fields, October 2015, Fête de la Science 2015 - Inria Bordeaux Sud-Ouest, Poster.
    https://hal.inria.fr/hal-01230066
  • 25P. Philippe, M. Tommasi, T. Vieville, C. De La Higuera.
    L’apprentissage automatique : le diable n’est pas dans l’algorithme, June 2015, Article sur http://binaire.blog.lemonde.fr.
    https://hal.inria.fr/hal-01246178
  • 26N. P. Rougier.
    Esprit in silico : les vains espoirs de l’immortalité, in: The Conversation, November 2015.
    https://hal.inria.fr/hal-01233377
  • 27N. P. Rougier.
    Esprit in silico : pourquoi l’idée de télécharger son cerveau n’a pas de sens, in: The Conversation, November 2015.
    https://hal.inria.fr/hal-01233379
  • 28N. P. Rougier.
    L’intelligence artificielle, mythes et réalités, in: Interstices, June 2015.
    https://hal.inria.fr/hal-01163986
  • 29N. P. Rougier.
    Silicon soul: The vain dream of electronic immortality, in: The Conversation, January 2016.
    https://hal.inria.fr/hal-01251718
  • 30N. P. Rougier.
    Why you’ll never be able to upload your brain to the cloud, in: The Conversation, January 2016.
    https://hal.inria.fr/hal-01251726
  • 31N. P. Rougier.
    Une brève histoire de l'intelligence artificielle, in: Pint of Science, Bordeaux, France, May 2015.
    https://hal.inria.fr/hal-01219956
  • 32N. P. Rougier.
    L'Intelligence Artificielle n'aura pas lieu, January 2015, http://www.scilogs.fr/intelligence-mecanique/lintelligence-artificielle-naura-pas-lieu/.
    https://hal.inria.fr/hal-01107356
  • 33G. Varoquaux, E. Gouillart, O. Vahtras, V. Haenel, N. P. Rougier, R. Gommers, F. Pedregosa, Z. Jędrzejewski-Szmek, P. Virtanen, C. Combelles, D. Pinte, R. Cimrman, A. Espaze, A. Chauve, C. Burns.
    Scipy Lecture Notes, Zenodo, 2015. [ DOI : 10.5281/zenodo.31736 ]
    https://hal.inria.fr/hal-01206546
  • 34T. Vieville.
    Et l’égalité des sexes alors, les mecs ?, in: Médiation scientifique : de la science informatique au grand public. 1024 – Bulletin de la société informatique de FranceHors-série numéro 1, February 2015.
    https://hal.inria.fr/hal-01238441
  • 35T. Vieville, S. Boldo, F. Masseglia, P. Bernhard.
    « Structures : organisation, complexité, dynamique » des mot-clés au sens inattendu, April 2015, Article de vulgarisation sur pixees.fr.
    https://hal.inria.fr/hal-01238442

Other Publications

  • 36M. Carrere, F. Alexandre.
    Using the Amygdala in decision making, May 2015, Fifth International Symposium on Biology of Decision Making (SBDM), Poster.
    https://hal.inria.fr/hal-01237891
  • 37C. Héricé, M. Bonnet-Save, A. Garenne, J.-M. Cabelguen, T. Boraud.
    Setting A Behavioral Task For Assessing Decision Making In Urodele Amphibian, May 2015, Fifth Symposium on Biology of Decision-Making (SBDM 2015), Poster.
    https://hal.inria.fr/hal-01206505
  • 38C. Héricé, R. Khalil, M. Moftah, T. Boraud, M. Guthrie, A. Garenne.
    Decision making mechanisms in a connectionist model of the basal ganglia, June 2015, The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Poster.
    https://hal.inria.fr/hal-01206514
  • 39N. P. Rougier.
    Glumpy, August 2015, EuroScipy, Poster.
    https://hal.inria.fr/hal-01217524
  • 40N. P. Rougier.
    Numpy tutorial, August 2015, IntroductionThe Game of LifeExercisesBeyond this tutorialQuick references. [ DOI : 10.5281/zenodo.28817 ]
    https://hal.inria.fr/hal-01185876
  • 41B. Teja Nallapu, B. Raju Surampudi, N. P. Rougier.
    Factors affecting reward based decision making : a computational study, December 2015, 3rd International Conference on Cognition, Brain and Computation, Poster.
    https://hal.inria.fr/hal-01237929
  • 42M. Topalidou, C. Piron, D. Kaise, T. Boraud, N. P. Rougier.
    The formation of habits: A computational model mixing reinforcement learning and Hebbian learning, June 2015, The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Poster.
    https://hal.inria.fr/hal-01156484
  • 43M. Topalidou, C. Piron, D. Kaise, T. Boraud, N. P. Rougier.
    The formation of habits: The implicit supervision of the basal ganglia, May 2015, Fifth International Symposium on Biology of Decision Making (SBDM 2015), Poster.
    https://hal.inria.fr/hal-01156477
References in notes
  • 44F. Alexandre.
    Biological Inspiration for Multiple Memories Implementation and Cooperation, in: International Conference on Computational Intelligence, V. Kvasnicka, P. Sincak, J. Vascak, R. Mesiar (editors), 2000.
  • 45S. Amari.
    Dynamic of pattern formation in lateral-inhibition type neural fields, in: Biological Cybernetics, 1977, vol. 27, pp. 77–88.
  • 46D. H. Ballard, M. M. Hayhoe, P. K. Pook, R. P. N. Rao.
    Deictic codes for the embodiment of cognition, in: Behavioral and Brain Sciences, 1997, vol. 20, no 04, pp. 723–742.
    http://dx.doi.org/10.1017/S0140525X97001611
  • 47D. Bertsekas, J. Tsitsiklis.
    Parallel and Distributed Computation: Numerical Methods, Athena Scientific, 1997.
  • 48R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman, J. Bower, M. Diesmann, A. Morrison, P. H. Goodman, F. C. Jr. Harris, M. Zirpe, T. Natschläger, D. Pecevski, B. Ermentrout, M. Djurfeldt, A. Lansner, O. Rochel, T. Viéville, E. Muller, A. Davison, S. E. Boustani, A. Destexhe.
    Simulation of networks of spiking neurons: a review of tools and strategies, in: Journal of Computational Neuroscience, 2007, vol. 23, no 3, pp. 349–398.
  • 49S. Coombes.
    Waves, bumps and patterns in neural field theories, in: Biol. Cybern., 2005, vol. 93, pp. 91-108.
  • 50P. Dayan, L. Abbott.
    Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001.
  • 51K. Doya.
    What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?, in: Neural Networks, 1999, vol. 12, pp. 961–974.
  • 52J. Fix, N. P. Rougier, F. Alexandre.
    A dynamic neural field approach to the covert and overt deployment of spatial attention, in: Cognitive Computation, 2011, vol. 3, no 1, pp. 279-293. [ DOI : 10.1007/s12559-010-9083-y ]
    http://hal.inria.fr/inria-00536374/en
  • 53W. Gerstner, W. Kistler.
    Spiking Neuron Models: Single Neurons, Populations, Plasticity, Cambridge University Press, Cambridge University Press, 2002.
  • 54M. Guthrie, A. Leblois, A. Garenne, T. Boraud.
    Interaction Between Cognitive and Motor Cortico-Basal Ganglia Loops During Decision Making: A Computational Study, in: Journal of Neurophysiology, March 2013.
    http://hal.inria.fr/hal-00828004
  • 55T. Mitchell.
    Machine Learning, Mac Graw-Hill Press, 1997.
  • 56D. Mitra.
    Asynchronous relaxations for the numerical solution of differential equations by parallel processors, in: SIAM J. Sci. Stat. Comput., 1987, vol. 8, no 1, pp. 43–58.
  • 57R. O'Reilly, Y. Munakata.
    Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, MIT Press, Cambridge, MA, USA, 2000.
  • 58N. P. Rougier, J. Fix.
    DANA: Distributed (asynchronous) Numerical and Adaptive modelling framework, in: Network: Computation in Neural Systems, December 2012, vol. 23, no 4, pp. 237-253. [ DOI : 10.3109/0954898X.2012.721573 ]
    http://hal.inria.fr/hal-00718780
  • 59N. P. Rougier, A. Hutt.
    Synchronous and Asynchronous Evaluation of Dynamic Neural Fields, in: J. Diff. Eq. Appl., 2009.
  • 60N. P. Rougier.
    Dynamic Neural Field with Local Inhibition, in: Biological Cybernetics, 2006, vol. 94, no 3, pp. 169-179.
  • 61L. Squire.
    Memory systems of the brain: a brief history and current perspective, in: Neurobiol. Learn. Mem., 2004, vol. 82, pp. 171-177.
  • 62W. Taouali, T. Viéville, N. P. Rougier, F. Alexandre.
    No clock to rule them all, in: Journal of Physiology, 2011, vol. 105, no 1-3, pp. 83-90.
  • 63T. Trappenberg.
    Fundamentals of Computational Neuroscience, Oxford University Press, 2002.
  • 64T. Viéville.
    An unbiased implementation of regularization mechanisms, in: Image and Vision Computing, 2005, vol. 23, no 11, pp. 981–998.
    http://authors.elsevier.com/sd/article/S0262885605000909