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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1F. Alexandre.

    How to Understand Brain-Body-Environment Interactions? Toward a systemic Representationalism, in: Constructivist Foundations, November 2017, vol. 13, no 1, pp. 130-131.

    https://hal.inria.fr/hal-01651768
  • 2F. C. Y. Benureau, N. P. Rougier.

    Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions, in: Frontiers in Neuroinformatics, 2017, https://arxiv.org/abs/1708.08205, forthcoming. [ DOI : 10.3389/fninf.2017.00069 ]

    https://hal.inria.fr/hal-01577578
  • 3B. Cessac, P. Kornprobst, S. Kraria, H. Nasser, D. Pamplona, G. Portelli, T. Vieville.

    PRANAS: A New Platform for Retinal Analysis and Simulation, in: Frontiers in Neuroinformatics, September 2017, vol. 11, 49 p.

    https://hal.inria.fr/hal-01588737
  • 4N. P. Rougier, K. Hinsen, F. Alexandre, T. Arildsen, L. Barba, F. C. Y. Benureau, C. T. Brown, P. De Buyl, O. Caglayan, A. P. Davison, M. A. Delsuc, G. Detorakis, A. K. Diem, D. Drix, P. Enel, B. Girard, O. Guest, M. G. Hall, R. N. Henriques, X. Hinaut, K. S. Jaron, M. Khamassi, A. Klein, T. Manninen, P. Marchesi, D. McGlinn, C. Metzner, O. L. Petchey, H. E. Plesser, T. Poisot, K. Ram, Y. Ram, E. Roesch, C. Rossant, V. Rostami, A. Shifman, J. Stachelek, M. Stimberg, F. Stollmeier, F. Vaggi, G. Viejo, J. Vitay, A. Vostinar, R. Yurchak, T. Zito.

    Sustainable computational science: the ReScience initiative, in: PeerJ Computer Science, 2017, https://arxiv.org/abs/1707.04393 - 8 pages, 1 figure, forthcoming.

    https://hal.inria.fr/hal-01592078
  • 5N. P. Rougier.

    [Re] Weighted Voronoi Stippling, in: The ReScience journal, June 2017, vol. 3, no 1. [ DOI : 10.5281/zenodo.802285 ]

    https://hal.inria.fr/hal-01532740

Invited Conferences

  • 6F. Alexandre.

    Modeling the ventral hippocampus and its role in the limbic system, in: Journée Scientifique du GDR Neurosciences de la Mémoire, Bordeaux, France, May 2017.

    https://hal.inria.fr/hal-01523746
  • 7F. Alexandre.

    What Computational Neuroscience can offer Machine Learning : Autonomous Learning , in: Workshop on Computational Neuroscience: challenges for the 2030, Valparaiso, Chile, January 2017.

    https://hal.inria.fr/hal-01528663
  • 8K. Hinsen, N. P. Rougier.

    ReScience, in: Open science, transparence et évaluation. Perspectives et enjeux pour les chercheurs, Bordeaux, France, URFIST Bordeaux, April 2017.

    https://hal.archives-ouvertes.fr/hal-01573262
  • 9N. P. Rougier.

    Noise as a symmetry breaker, in: SBDM 2017 - Seventh International Symposium on Biology of Decision Making, Bordeaux, France, May 2017, 26 p.

    https://hal.archives-ouvertes.fr/hal-01573258

International Conferences with Proceedings

  • 10I. Chraibi Kaadoud, N. P. Rougier, F. Alexandre.

    Implicit knowledge extraction and structuration from electrical diagrams, in: The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Arras, France, June 2017.

    https://hal.inria.fr/hal-01525028
  • 11T. F. Drumond, T. Viéville, F. Alexandre.

    Using prototypes to improve convolutional networks interpretability, in: 31st Annual Conference on Neural Information Processing Systems: Transparent and interpretable machine learning in safety critical environments Workshop, Long Beach, United States, December 2017.

    https://hal.inria.fr/hal-01651964
  • 12P. S. Kaushik, M. S. Carrere, F. Alexandre, S. B. Raju.

    A biologically inspired neuronal model of reward prediction error computation, in: IJCNN 2017 - International Joint Conference on Neural Networks, Anchorage, United States, May 2017, 8 p.

    https://hal.inria.fr/hal-01528658
  • 13B. T. Nallapu, B. R. Surampudi, N. P. Rougier.

    The art of scaling up : a computational account on action selection in basal ganglia: [FULL Version], in: IJCNN 2017 - International Joint Conference on Neural Networks, Anchorage, Alaska, United States, May 2017.

    https://hal.inria.fr/hal-01534459
  • 14N. P. Rougier, Y. Boniface.

    Motivated Self-Organization, in: 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization,, Nancy, France, June 2017.

    https://hal.inria.fr/hal-01513519
  • 15J. Twiefel, X. Hinaut, S. Wermter.

    Syntactic Reanalysis in Language Models for Speech Recognition, in: 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Lisbon, Portugal, September 2017.

    https://hal.inria.fr/hal-01558462

Conferences without Proceedings

  • 16F. C. Y. Benureau, T. Boraud, N. P. Rougier.

    Habits That Contradict Rewards, in: 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Lisbon, Portugal, September 2017.

    https://hal.inria.fr/hal-01535484
  • 17X. Hinaut.

    From Phonemes to Robot Commands with a Neural Parser, in: IEEE ICDL-EPIROB Workshop on Language Learning, Lisbon, Portugal, September 2017, pp. 1-2.

    https://hal.inria.fr/hal-01665823

Scientific Books (or Scientific Book chapters)

  • 18F. Alexandre.

    A behavioral framework for information representation in the brain, in: Computational Models of Brain and Behavior, A. A. Moustafa (editor), Wiley, November 2017, pp. 403-412.

    https://hal.inria.fr/hal-01651751
  • 19M.-J. U. Escobar, F. Alexandre, T. Viéville, A. Palacios.

    Rapid Prototyping for Bio–Inspired Robots, in: Rapid Roboting: Recent Advances on 3D Printers and Robotics, Intelligent Systems, Control and Automation: Science and Engineering, Springer, February 2017, 300 p.

    https://hal.inria.fr/hal-01427958

Internal Reports

  • 20B. Cessac, P. Kornprobst, S. Kraria, H. Nasser, D. Pamplona, G. Portelli, T. Viéville.

    PRANAS: A new platform for retinal analysis and simulation, Inria Sophia Antipolis ; Inria Bordeaux Sud-Ouest, August 2017, no RR-8958, 27 p.

    https://hal.inria.fr/hal-01377307
  • 21T. Viéville, X. Hinaut, T. F. Drumond, F. Alexandre.

    Recurrent neural network weight estimation through backward tuning, Inria Bordeaux Sud-Ouest, October 2017, no RR-9100, pp. 1-54.

    https://hal.inria.fr/hal-01610735

Scientific Popularization

  • 22T. F. Drumond, L. Viennot, T. Viéville, V. François.

    Jouez avec les neurones de la machine, in: Blog Binaire LeMonde.fr, October 2017, pp. 1-3.

    https://hal.inria.fr/hal-01620451

Other Publications

  • 23X. Hinaut, A. Cazala, C. Del Negro.

    Neural coding of variable song structure in the songbird, May 2017, 1 p, EBM 2017 - European Birdsong Meeting, Poster.

    https://hal.inria.fr/hal-01665824
  • 24X. Hinaut, J. Twiefel.

    Teach Your Robot Your Language! Trainable Neural Parser for Modelling Human Sentence Processing: Examples for 15 Languages, December 2017, working paper or preprint.

    https://hal.inria.fr/hal-01665807
  • 25N. P. Rougier.

    A graphical, scalable and intuitive method for the placement and the connection of biological cells, October 2017, https://arxiv.org/abs/1710.05189 - Corresponding code at https://github.com/rougier/spatial-computation. [ DOI : 10.05189 ]

    https://hal.inria.fr/hal-01617732
  • 26N. P. Rougier.

    Decision Making: who’s in charge?, September 2017, pp. 1-19, Lex Robotica.

    https://hal.inria.fr/hal-01656676
  • 27N. P. Rougier, J. Timmer.

    Ten Simple Rules for Scientific Fraud & Misconduct, July 2017, working paper or preprint.

    https://hal.inria.fr/hal-01562601
  • 28S. Shivkumar, V. S. Chakravarthy, N. P. Rougier.

    Modeling the Role of Striatum in Stochastic Multi Context Tasks, December 2017, working paper or preprint. [ DOI : 10.1101/196543 ]

    https://hal.inria.fr/hal-01654436
  • 29M. Topalidou, D. Kase, T. Boraud, N. P. Rougier.

    One critic, two actors: evidence for covert learning in the basal ganglia, April 2017, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01337332
References in notes
  • 30F. 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.
  • 31S. Amari.

    Dynamic of pattern formation in lateral-inhibition type neural fields, in: Biological Cybernetics, 1977, vol. 27, pp. 77–88.
  • 32D. 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
  • 33D. Bertsekas, J. Tsitsiklis.

    Parallel and Distributed Computation: Numerical Methods, Athena Scientific, 1997.
  • 34R. 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.
  • 35S. Coombes.

    Waves, bumps and patterns in neural field theories, in: Biol. Cybern., 2005, vol. 93, pp. 91-108.
  • 36P. Dayan, L. Abbott.

    Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001.
  • 37K. Doya.

    What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?, in: Neural Networks, 1999, vol. 12, pp. 961–974.
  • 38J. 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
  • 39W. Gerstner, W. Kistler.

    Spiking Neuron Models: Single Neurons, Populations, Plasticity, Cambridge University Press, Cambridge University Press, 2002.
  • 40X. Hinaut, P. F. Dominey.

    Real-time parallel processing of grammatical structure in the fronto-striatal system: A recurrent network simulation study using reservoir computing, in: PloS one, 2013, vol. 8, no 2, e52946 p.
  • 41T. Mitchell.

    Machine Learning, Mac Graw-Hill Press, 1997.
  • 42D. 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.
  • 43R. O'Reilly, Y. Munakata.

    Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, MIT Press, Cambridge, MA, USA, 2000.
  • 44N. P. Rougier, A. Hutt.

    Synchronous and Asynchronous Evaluation of Dynamic Neural Fields, in: J. Diff. Eq. Appl., 2009.
  • 45N. P. Rougier.

    Dynamic Neural Field with Local Inhibition, in: Biological Cybernetics, 2006, vol. 94, no 3, pp. 169-179.
  • 46L. Squire.

    Memory systems of the brain: a brief history and current perspective, in: Neurobiol. Learn. Mem., 2004, vol. 82, pp. 171-177.
  • 47W. 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.
  • 48T. Trappenberg.

    Fundamentals of Computational Neuroscience, Oxford University Press, 2002.
  • 49T. 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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