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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1I. Chraibi Kaadoud.

    Sequence learning and rules extraction from recurrent neural networks : application to the drawing of technical diagrams, Université de Bordeaux, March 2018.

    https://tel.archives-ouvertes.fr/tel-01771685

Articles in International Peer-Reviewed Journals

  • 2F. C. Y. Benureau, N. P. Rougier.

    Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions, in: Frontiers in Neuroinformatics, January 2018, vol. 11, https://arxiv.org/abs/1708.08205. [ DOI : 10.3389/fninf.2017.00069 ]

    https://hal.inria.fr/hal-01577578
  • 3T. Boraud, A. Leblois, N. P. Rougier.

    A Natural History of Skills, in: Progress in Neurobiology, December 2018, vol. 171, pp. 114-124. [ DOI : 10.1016/j.pneurobio.2018.08.003 ]

    https://hal.inria.fr/hal-01874690
  • 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
  • 5C. El Khoueiry, D. Moretti, R. Renom, F. Camera, R. Orlacchio, A. Garenne, F. Poulletier De Gannes, E. Poque-Haro, I. Lagroye, B. Veyret, N. Lewis.

    Decreased spontaneous electrical activity in neuronal networks exposed to radiofrequency 1800 MHz signals, in: Journal of Neurophysiology, December 2018, vol. 120, no 6, pp. 2719-2729.

    https://hal.inria.fr/hal-01943451
  • 6X. 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, 2018.

    https://hal.inria.fr/hal-01964541
  • 7R. Kassab, F. Alexandre.

    Pattern Separation in the Hippocampus: Distinct Circuits under Different Conditions, in: Brain Structure and Function, July 2018, vol. 223, no 6, pp. 2785-2808. [ DOI : 10.1007/s00429-018-1659-4 ]

    https://hal.inria.fr/hal-01931720
  • 8M. Romero, M. Duflot-Kremer, T. Viéville.

    Le jeu du robot : analyse d’une activité d’informatique débranchée sous la perspective de la cognition incarnée, in: Review of science, mathematics and ICT education, 2018.

    https://hal.inria.fr/hal-01950335
  • 9N. P. Rougier, K. Hinsen.

    Correspondance. Code review poses extra challenges, in: Nature, April 2018, 309 p, Correspondence. [ DOI : 10.1038/d41586-018-04628-w ]

    https://hal.inria.fr/hal-01773411
  • 10N. P. Rougier.

    A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds, in: Frontiers in Neuroinformatics, March 2018, vol. 12, Corresponding code at https://github.com/rougier/spatial-computation. [ DOI : 10.3389/fninf.2018.00012 ]

    https://hal.inria.fr/hal-01617732
  • 11M. Topalidou, D. Kase, T. Boraud, N. P. Rougier.

    A Computational Model of Dual Competition between the Basal Ganglia and the Cortex, in: eNeuro, December 2018, pp. ENEURO.0339–17.2018.

    https://hal.inria.fr/hal-01925643

Articles in National Peer-Reviewed Journals

  • 12M. Romero, S. Noirpoudre, T. Viéville.

    Que disent les sciences de l’éducation à propos de l’apprentissage du code ?, in: Revue de l'association EPI, May 2018.

    https://hal.inria.fr/hal-01969400

Invited Conferences

International Conferences with Proceedings

  • 16F. Alexandre.

    Different learning architectures contribute to value prediction in human cognition, in: AIC 2018 : 6th International Workshop on Artificial Intelligence and Cognition, Palermo, Italy, July 2018.

    https://hal.inria.fr/hal-01931492
  • 17X. Hinaut.

    Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions?, in: 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Tokyo, Japan, September 2018, Corresponding code at https://github.com/neuronalX/Hinaut2018_icdl-epirob.

    https://hal.inria.fr/hal-01889919
  • 18L. Khacef, B. Girau, N. P. Rougier, A. Upegui, B. Miramond.

    Neuromorphic hardware as a self-organizing computing system, in: WCCI 2018 - IEEE World Congress on Computational Intelligence, Workshop NHPU : Neuromorphic Hardware In Practice and Use, Rio de Janeiro, Brazil, IEEE, July 2018, pp. 1-4.

    https://hal.archives-ouvertes.fr/hal-01790776
  • 19S. Pagliarini, X. Hinaut, A. Leblois.

    A bio-inspired model towards vocal gesture learning in songbird, in: 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Tokyo, Japan, September 2018, Corresponding code at https://github.com/spagliarini/2018-ICDL-EPIROB.

    https://hal.inria.fr/hal-01906459
  • 20S. Pagliarini, A. Leblois, X. Hinaut.

    Towards Biological Plausibility of Vocal Learning Models: a Short Review, in: ICDL-Epirob Workshop on Continual Unsupervised Sensorimotor Learning, Tokyo, Japan, September 2018.

    https://hal.inria.fr/hal-01942822
  • 21M. Romero, B. Lille, T. Viéville, M. Duflot-Kremer, C. De Smet, D. Belhassein.

    Analyse comparative d’une activité d’apprentissage de la programmation en mode branché et débranché, in: Educode - Conférence internationale sur l'enseignement au numérique et par le numérique, Bruxelles, Belgium, August 2018.

    https://hal.inria.fr/hal-01861732
  • 22N. P. Rougier, B. Esfahbod.

    Digital Typography Rendering, in: ACM SIGGRAPH Courses, Vancouver, Canada, August 2018.

    https://hal.inria.fr/hal-01815193
  • 23A. Strock, N. P. Rougier, X. Hinaut.

    A Simple Reservoir Model of Working Memory with Real Values, in: 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018, https://arxiv.org/abs/1806.06545 - Corresponding code at https://github.com/anthony-strock/ijcnn2018. [ DOI : 10.1109/IJCNN.2018.8489262 ]

    https://hal.inria.fr/hal-01803594
  • 24B. Teja Nallapu, F. Alexandre.

    A survival task for the design and the assessment of an autonomous agent, in: 7th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2018, Paris, France, July 2018.

    https://hal.inria.fr/hal-01931573
  • 25B. Teja Nallapu, F. Alexandre.

    Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents, in: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Seville, Spain, September 2018.

    https://hal.inria.fr/hal-01931497
  • 26A. Upegui, B. Girau, N. P. Rougier, F. Vannel, B. Miramond.

    Pruning Self-Organizing Maps for Cellular Hardware Architectures, in: AHS 2018 - 12th NASA/ESA Conference on Adaptive Hardware and Systems, Edinburgh, United Kingdom, IEEE, August 2018, pp. 272-279. [ DOI : 10.1109/AHS.2018.8541465 ]

    https://hal.archives-ouvertes.fr/hal-01826263

Scientific Books (or Scientific Book chapters)

  • 27F. Alexandre.

    L'approche systémique : simuler moins pour modéliser plus en neurosciences, in: Actes du colloque "Modélisation: succès et limites", CNRS et Académie des Technologies, CNRS - Académie des Technologies, February 2018, 12 p.

    https://hal.inria.fr/hal-01933185
  • 28X. Nogues, A. Garenne, X. Bouteiller, V. Fievet.

    Le cours de Biostatistiques, Dunod, April 2018.

    https://hal.inria.fr/hal-01939213

Scientific Popularization

  • 29M. Ciussi, N. Colombier, S.-C. Lefèvre, I. Yastrebova - Otmanine, M. Romero, C. De Smet, T. Viéville.

    Numérique et éducation … vous avez dit #CreaSmartEdtech ?, in: Blog Binaire LeMonde.fr, July 2018.

    https://hal.inria.fr/hal-01957475

Other Publications

  • 30X. Hinaut.

    From Phonemes to Sentence Comprehension: A Neurocomputational Model of Sentence Processing for Robots, May 2018, SBDM2018 Satellite-Workshop on interfaces between Robotics, Artificial Intelligence and Neuroscience, Poster.

    https://hal.inria.fr/hal-01964524
  • 31A. Strock, N. P. Rougier, X. Hinaut.

    A Simple Reservoir Model of Working Memory with Real Values, June 2018, Third workshop on advanced methods in theoretical neuroscience, Poster.

    https://hal.inria.fr/hal-01861784
  • 32B. Teja Nallapu, F. Alexandre.

    Interaction between the limbic and sensori-motor cortico-basal loops : a systemic framework to explain animal behaviour, May 2018, SBDM 2018 - Eighth International Symposium on Biology of Decision Making, Poster.

    https://hal.inria.fr/hal-01820371
  • 33J.-B. Zacchello, X. Hinaut, A. Leblois.

    Replication of Laje & Mindlin's model producing synthetic syllables, April 2018, European Birdsong Meeting, Poster.

    https://hal.inria.fr/hal-01964522
References in notes
  • 34F. 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.
  • 35S. Amari.

    Dynamic of pattern formation in lateral-inhibition type neural fields, in: Biological Cybernetics, 1977, vol. 27, pp. 77–88.
  • 36D. 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
  • 37D. Bertsekas, J. Tsitsiklis.

    Parallel and Distributed Computation: Numerical Methods, Athena Scientific, 1997.
  • 38R. 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.
  • 39S. Coombes.

    Waves, bumps and patterns in neural field theories, in: Biol. Cybern., 2005, vol. 93, pp. 91-108.
  • 40P. Dayan, L. Abbott.

    Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001.
  • 41K. Doya.

    What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?, in: Neural Networks, 1999, vol. 12, pp. 961–974.
  • 42J. 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
  • 43W. Gerstner, W. Kistler.

    Spiking Neuron Models: Single Neurons, Populations, Plasticity, Cambridge University Press, Cambridge University Press, 2002.
  • 44T. Mitchell.

    Machine Learning, Mac Graw-Hill Press, 1997.
  • 45D. 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.
  • 46R. O'Reilly, Y. Munakata.

    Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, MIT Press, Cambridge, MA, USA, 2000.
  • 47N. P. Rougier, A. Hutt.

    Synchronous and Asynchronous Evaluation of Dynamic Neural Fields, in: J. Diff. Eq. Appl., 2009.
  • 48N. P. Rougier.

    Dynamic Neural Field with Local Inhibition, in: Biological Cybernetics, 2006, vol. 94, no 3, pp. 169-179.
  • 49L. Squire.

    Memory systems of the brain: a brief history and current perspective, in: Neurobiol. Learn. Mem., 2004, vol. 82, pp. 171-177.
  • 50W. 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.
  • 51T. Trappenberg.

    Fundamentals of Computational Neuroscience, Oxford University Press, 2002.
  • 52T. 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


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