Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1B. T. Nallapu.
  
  A closed loop framework of decision-making and learning in primate prefrontal circuits using Computational Modeling and Virtual Experimentation, Université de Bordeaux, December 2019.
  
  https://hal.inria.fr/tel-02431814

Articles in International Peer-Reviewed Journals

• 2P. Alliez, R. Di Cosmo, B. Guedj, A. Girault, M.-S. Hacid, A. Legrand, N. P. Rougier.
  
  Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria, in: Computing in Science & Engineering, 2019, pp. 1-14, https://arxiv.org/abs/1905.11123. [ DOI : 10.1109/MCSE.2019.2949413 ]
  
  https://hal.archives-ouvertes.fr/hal-02135891
• 3P. Bock, F. Alexandre.
  
  [Re] The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network, in: The ReScience journal, December 2019, vol. 3, n^o 1, 5 p.
  
  https://hal.inria.fr/hal-02401066
• 4T. F. Drumond, T. Viéville, F. Alexandre.
  
  Bio-inspired analysis of deep learning on not-so-big data using data-prototypes, in: Frontiers in Computational Neuroscience, January 2019, vol. 12. [ DOI : 10.3389/fncom.2018.00100 ]
  
  https://hal.inria.fr/hal-01954911
• 5X. Hinaut, J. Twiefel.
  
  Teach Your Robot Your Language! Trainable Neural Parser for Modelling Human Sentence Processing: Examples for 15 Languages, in: IEEE Transactions on Cognitive and Developmental Systems, December 2019. [ DOI : 10.1109/TCDS.2019.2957006 ]
  
  https://hal.inria.fr/hal-01964541
• 6T. Inamura, H. Yokoyama, E. Ugur, X. Hinaut, M. Beetze, T. Taniguchi.
  
  Section focused on machine learning methods for high-level cognitive capabilities in robotics, in: Advanced Robotics, June 2019, vol. 33, n^o 11, pp. 537-538. [ DOI : 10.1080/01691864.2019.1625183 ]
  
  https://hal.inria.fr/hal-02432787
• 7A. Nioche, B. Garcia, T. Boraud, N. P. Rougier, S. Bourgeois-Gironde.
  
  Interaction effects between consumer information and firms' decision rules in a duopoly: how cognitive features can impact market dynamics, in: Palgrave Communications, December 2019, vol. 5, n^o 1. [ DOI : 10.1057/s41599-019-0241-x ]
  
  https://hal.inria.fr/hal-02080610
• 8A. Nioche, B. Garcia, G. Lefebvre, T. Boraud, N. P. Rougier, S. Bourgeois-Gironde.
  
  Coordination over a unique medium of exchange under information scarcity, in: Palgrave Communications, 2019, forthcoming.
  
  https://hal.inria.fr/hal-02356248
• 9M. Romero, M. Duflot, T. Viéville.
  
  The robot game : analysis of a computational thinking unplugged activity under the perspective of embodied cognition, in: Review of science, mathematics and ICT education, June 2019, vol. 13, n^o 1. [ DOI : 10.26220/rev.3089 ]
  
  https://hal.inria.fr/hal-02144467
• 10M. Romero, S.-C. Lefèvre, T. Viéville.
  
  When a Master of Sciences on EdTech becomes an International Community, in: ERCIM News, January 2020.
  
  https://hal.inria.fr/hal-02418510
• 11A. Strock, X. Hinaut, N. P. Rougier.
  
  A Robust Model of Gated Working Memory, in: Neural Computation, November 2019, pp. 1-29. [ DOI : 10.1162/neco_a_01249 ]
  
  https://hal.archives-ouvertes.fr/hal-02371659

Articles in National Peer-Reviewed Journals

• 12C. Atlan, J.-P. Archambault, O. Banus, F. Bardeau, A. Blandeau, A. Cois, M. Courbin-Coulaud, G. Giraudon, S.-C. Lefèvre, V. Letard, B. Masse, F. Masseglia, B. Ninassi, S. De Quatrebarbes, M. Romero, D. Roy, T. Viéville.
  
  Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s, in: Revue de l'EPI (Enseignement Public et Informatique), June 2019, https://arxiv.org/abs/1906.00647.
  
  https://hal.inria.fr/hal-02145478

Articles in Non Peer-Reviewed Journals

• 13N. P. Rougier, K. Hinsen.
  
  Challenge to test reproducibility of old computer code, in: Nature, October 2019, vol. 574, n^o 7780, 634 p, Correspondence. [ DOI : 10.1038/d41586-019-03296-8 ]
  
  https://hal.inria.fr/hal-02340398

Invited Conferences

• 14F. Alexandre.
  
  A computational model to study the dynamics of representations of rewards in the orbital and medial frontal cortex, in: Normal and pathological reward processing: From synapse to behavior, 6th Bordeaux Neurocampus Conference, Bordeaux, France, October 2019.
  
  https://hal.inria.fr/hal-02388064
• 15T. Viéville.
  
  Mais comment éduquer les garçons à l'équité des genres au niveau informatique et numérique. Éducation à la mixité : et les garçons ?, in: Un rêve pour les filles et les garçons : LA SCIENCE, Grenoble, France, November 2019.
  
  https://hal.inria.fr/hal-02419391

International Conferences with Proceedings

• 16P. Detraz, X. Hinaut.
  
  A Reservoir Model for Intra-Sentential Code-Switching Comprehension in French and English, in: CogSci'19 - 41st Annual Meeting of the Cognitive Science Society, Montréal, Canada, July 2019.
  
  https://hal.inria.fr/hal-02432831
• 17X. Hinaut, M. Spranger.
  
  Learning to Parse Grounded Language using Reservoir Computing, in: ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, Olso, Norway, August 2019. [ DOI : 10.1109/devlrn.2019.8850718 ]
  
  https://hal.inria.fr/hal-02422157

National Conferences with Proceedings

• 18C. Mariais, D. Roche, L. Farhi, S. Barnabé, S. Cruchon, S. De Quatrebarbes, T. Viéville.
  
  Peut-on former les enseignant·e·s en un rien de temps ?, in: EIAH'19 Wokshop : Apprentissage de la pensée informatique de la maternelle à l’Université : retours d’expériences et passage à l’échelle, Paris, France, June 2019.
  
  https://hal.inria.fr/hal-02145466

Conferences without Proceedings

• 19C. Atlan, J.-P. Archambault, O. Banus, F. Bardeau, A. Blandeau, A. Cois, M. Courbin-Coulaud, G. Giraudon, S.-C. Lefèvre, V. Letard, B. Masse, F. Masseglia, B. Ninassi, S. De Quatrebarbes, M. Romero, D. Roy, T. Viéville.
  
  Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s, in: EIAH'19 Wokshop - Apprentissage de la pensée informatique de la maternelle à l’Université : retours d’expériences et passage à l’échelle, Paris, France, June 2019.
  
  https://hal.inria.fr/hal-02145480

Scientific Books (or Scientific Book chapters)

• 20Proceedings of the ANR ​#CreaMaker​ workshop: co-creativity, robotics and maker education, April 2019.
  
  https://hal.archives-ouvertes.fr/hal-02362121
• 21L. Desquilbet, S. Granger, B. Hejblum, A. Legrand, P. Pernot, N. P. Rougier, E. de Castro Guerra, M. Courbin-Coulaud, L. Duvaux, P. Gravier, G. Le Campion, S. Roux, F. Santos.
  
  U. régionale de formation à l'information scientifique et technique de Bordeaux (editor), Towards reproducible research : Evolve your practices, Unité régionale de formation à l'information scientifique et technique de Bordeaux, May 2019, pp. 1-161.
  
  https://hal.archives-ouvertes.fr/hal-02144142
• 22D. Menon, S. Bp, M. Romero, T. Viéville.
  
  Going beyond digital literacy to develop computational thinking in K-12 education,, in: Smart Pedagogy of Digital Learning, L. Daniela (editor), Taylor&Francis (Routledge), 2019, forthcoming.
  
  https://hal.inria.fr/hal-02281037
• 23N. P. Rougier, K. Hinsen.
  
  ReScience C: A Journal for Reproducible Replications in Computational Science, in: Reproducible Research in Pattern Recognition, B. Kerautret, M. Colom, D. Lopresti, P. Monasse, H. Talbot (editors), Lecture Notes in Computer Science, Springer, June 2019, vol. 11455, pp. 150-156.
  
  https://hal.inria.fr/hal-02199854
• 24A. Strock, N. P. Rougier, X. Hinaut.
  
  Using Conceptors to Transfer Between Long-Term and Short-Term Memory, in: Artificial Neural Networks and Machine Learning —ICANN 2019: Workshop and Special Sessions, Springer, September 2019, pp. 19-23. [ DOI : 10.1007/978-3-030-30493-5_2 ]
  
  https://hal.inria.fr/hal-02387559

Internal Reports

• 25B. Caramiaux, F. Lotte, J. Geurts, G. Amato, M. Behrmann, F. Bimbot, F. Falchi, A. Garcia, J. Gibert, G. Gravier, H. Holken, H. Koenitz, S. Lefebvre, A. Liutkus, A. Perkis, R. Redondo, E. Turrin, T. Viéville, E. Vincent.
  
  AI in the media and creative industries, New European Media (NEM), April 2019, pp. 1-35, https://arxiv.org/abs/1905.04175.
  
  https://hal.inria.fr/hal-02125504

Scientific Popularization

• 26F. Alexandre.
  
  Comprendre ou transformer l’humain ? Enjeux et voies potentielles de l’Intelligence Artificielle, in: Puissances technologiques et éthique de la finitude humaine, C. C. I. de Coopération avec l’UNESCO, A. C. de France (editors), Parole et Silence, November 2019, 23 p.
  
  https://hal.inria.fr/hal-02388015
• 27F. Alexandre.
  
  De quelles façons l'intelligence artificielle se sert-elle des neurosciences ?, in: The Conversation, October 2019.
  
  https://hal.inria.fr/hal-02388017
• 28N. P. Rougier.
  
  Pourquoi votre chat est nul aux échecs et pourtant plus intelligent qu’une IA, in: The Conversation, October 2019.
  
  https://hal.inria.fr/hal-02322085
• 29T. Viéville, C. Perronnet, I. Collet.
  
  Femmes et Sciences : et si c'était une affaire de mecs ?, December 2019.
  
  https://hal.inria.fr/hal-02419363

Other Publications

• 30F. Alexandre.
  
  Modeling executive functions in the prefrontal cortex, May 2019, XI Dubrovnik Conference on Cognitive Science, Poster.
  
  https://hal.inria.fr/hal-02388018
• 31P. Corieri, M. Romero, T. Massart, O. Goletti, K. Mens, M. Rafalska, T. Viéville, L. Meziane, J. Christophe, S. Hoarau, V. Komis, G. Parriaux.
  
  Enjeux dans la création d'une communauté d'enseignants engagés dans l'apprentissage de l'informatique, February 2020, didapro8 - didastic, Poster.
  
  https://hal.inria.fr/hal-02426274
• 32P. S. Kaushik, F. Alexandre.
  
  A neuro-computational model showing the effects of ventral striatum lesion on the computation of reward prediction error in VTA, May 2019, NeuroFrance, the international conference of the french society of Neuroscience, Poster.
  
  https://hal.inria.fr/hal-02388198
• 33B. T. Nallapu, F. Alexandre.
  
  The relational and informational organisation in the orbital and medial prefrontal cortex A study using virtual experimentation, May 2019, NeuroFrance, the international conference of the french society of Neuroscience, Poster.
  
  https://hal.inria.fr/hal-02388181
• 34S. Pagliarini, A. Leblois, X. Hinaut.
  
  A Vocal Learning Model: Development And Analysis, July 2019, IMOL 2019 - Fourth International Workshop on Intrinsically Motivated Open-ended Learning, Poster.
  
  https://hal.inria.fr/hal-02413140
• 35S. Pagliarini, A. Leblois, X. Hinaut.
  
  Vocal Imitation in Sensorimotor Learning Models: a Comparative Review, October 2019, working paper or preprint.
  
  https://hal.inria.fr/hal-02317144
• 36M. Romero, S. Nedjar-Ballester, L. Heiser, M. Rafalska, T. Viéville, S.-C. Lefèvre.
  
  Let's STEAM : un projet Erasmus+ pour l'apprentissage techno-créatif de l'informatique, October 2019, 3ème Rencontre scientifique SFERE-Provence, Poster.
  
  https://hal.archives-ouvertes.fr/hal-02302012
• 37B. Teja Nallapu, F. Alexandre.
  
  A system-level computational model of decision-making and learning in the lateral and medial sub-regions of Orbitofrontal Cortex, November 2019, OFC 2019 : Fourth Quadrennial Meeting on OFC Function, Poster.
  
  https://hal.inria.fr/hal-02417618

References in notes

• 38F. 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.
• 39S. Amari.
  
  Dynamic of pattern formation in lateral-inhibition type neural fields, in: Biological Cybernetics, 1977, vol. 27, pp. 77–88.
• 40D. 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, n^o 04, pp. 723–742.
  
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• 41D. Bertsekas, J. Tsitsiklis.
  
  Parallel and Distributed Computation: Numerical Methods, Athena Scientific, 1997.
• 42R. 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, n^o 3, pp. 349–398.
• 43S. Coombes.
  
  Waves, bumps and patterns in neural field theories, in: Biol. Cybern., 2005, vol. 93, pp. 91-108.
• 44P. Dayan, L. Abbott.
  
  Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001.
• 45K. Doya.
  
  What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?, in: Neural Networks, 1999, vol. 12, pp. 961–974.
• 46J. 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, n^o 1, pp. 279-293. [ DOI : 10.1007/s12559-010-9083-y ]
  
  http://hal.inria.fr/inria-00536374/en
• 47W. Gerstner, W. Kistler.
  
  Spiking Neuron Models: Single Neurons, Populations, Plasticity, Cambridge University Press, Cambridge University Press, 2002.
• 48T. Mitchell.
  
  Machine Learning, Mac Graw-Hill Press, 1997.
• 49D. Mitra.
  
  Asynchronous relaxations for the numerical solution of differential equations by parallel processors, in: SIAM J. Sci. Stat. Comput., 1987, vol. 8, n^o 1, pp. 43–58.
• 50R. O'Reilly, Y. Munakata.
  
  Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, MIT Press, Cambridge, MA, USA, 2000.
• 51N. P. Rougier, A. Hutt.
  
  Synchronous and Asynchronous Evaluation of Dynamic Neural Fields, in: J. Diff. Eq. Appl., 2009.
• 52N. P. Rougier.
  
  Dynamic Neural Field with Local Inhibition, in: Biological Cybernetics, 2006, vol. 94, n^o 3, pp. 169-179.
• 53L. Squire.
  
  Memory systems of the brain: a brief history and current perspective, in: Neurobiol. Learn. Mem., 2004, vol. 82, pp. 171-177.
• 54W. Taouali, T. Viéville, N. P. Rougier, F. Alexandre.
  
  No clock to rule them all, in: Journal of Physiology, 2011, vol. 105, n^o 1-3, pp. 83-90.
• 55T. Trappenberg.
  
  Fundamentals of Computational Neuroscience, Oxford University Press, 2002.
• 56T. Viéville.
  
  An unbiased implementation of regularization mechanisms, in: Image and Vision Computing, 2005, vol. 23, n^o 11, pp. 981–998.
  
  http://authors.elsevier.com/sd/article/S0262885605000909