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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1K. Boric, P. Orio, T. Viéville, K. Whitlock.

    Quantitative Analysis of Cell Migration Using Optical Flow, in: PLoS ONE, July 2013.

    http://hal.inria.fr/hal-00850523
  • 2M. 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
  • 3D. Moretti, N. Lewis, A. Garenne, F. Poulletier De Gannes, E. Haro, I. Lagroye, B. Veyret, L. Philippe.

    In-vitro Exposure of Neuronal Networks to the GSM-1800 Signal, in: Bioelectromagnetics, May 2013.

    http://hal.inria.fr/hal-00828018
  • 4N. Rougier.

    Higher Quality 2D Text Rendering, in: Journal of Computer Graphics Techniques, April 2013, vol. 2, no 1, pp. 50-64.

    http://hal.inria.fr/hal-00821839
  • 5N. Rougier.

    Shader-Based Antialiased Dashed Stroked Polylines, in: Journal of Computer Graphics Techniques, November 2013, vol. 2, no 2, pp. 91-107.

    http://hal.inria.fr/hal-00907326

International Conferences with Proceedings

  • 6C. Carvajal, T. Viéville, F. Alexandre.

    Impact of the Konio pathway in the thalamocortical visual system: a modeling study, in: CNS - 22nd Annual Computational Neuroscience Meeting - 2013, Paris, France, July 2013. [ DOI : 10.1186/1471-2202-14-S1-P6 ]

    http://hal.inria.fr/hal-00826704
  • 7G. Detorakis, N. Rougier.

    A computational view of area 3b of primary somatosensory cortex, in: Annual Computational Neuroscience Meeting, Paris, France, BMC Neuroscience, July 2013.

    http://hal.inria.fr/hal-00908566

National Conferences with Proceedings

  • 8M. Carrere, F. Alexandre.

    Émergence de catégories par interaction entre systèmes d'apprentissage, in: Conférence Francophone sur l'Apprentissage Automatique (CAP), Lille, France, P. Preux, M. Tommasi (editors), July 2013.

    http://hal.inria.fr/hal-00826554
  • 9T. Viéville, F. Dufour, P. Vienne, F. Tort.

    Utiliser des proglets pour manipuler des objets numériques, in: Didapro5 - DidaSTIC : Didactique de l'informatique et des STIC en milieu éducatif, Clermont-Ferrand, France, B. Drot-Delange, G.-L. Baron, E. Bruillard (editors), Université Blaise Pascal , Université Paris V, ENS Cachan/IFé, July 2013.

    http://hal.inria.fr/hal-00843961
  • 10T. Viéville, F. Tort.

    Donner du sens aux éléments de technologie : l'exemple des URI, in: Didapro5 - DidaSTIC : Didactique de l'informatique et des STIC en milieu éducatif, Clermont-Ferrand, France, B. Drot-Delange, G.-L. Baron, E. Bruillard (editors), Université Blaise Pascal , Université Paris V, ENS Cachan/IFé, July 2013.

    http://hal.inria.fr/hal-00843963

Conferences without Proceedings

  • 11T. Beati, M. Carrere, F. Alexandre.

    Which reinforcing signals in autonomous systems?, in: Third International Symposium on Biology of Decision Making, Paris, France, May 2013.

    http://hal.inria.fr/hal-00826603
  • 12L. Campagnola, A. Klein, C. Rossant, N. Rougier.

    VISPY, A Modern and Interactive Scientific Visualisation, in: Euroscipy 2013, Brusells, Belgium, August 2013.

    http://hal.inria.fr/hal-00907830
  • 13C. Carvajal, T. Viéville, F. Alexandre.

    To flee or not to flee? Neural Field dynamics shape information flows in a model of the thalamocortical visual system, in: BC - Bernstein Conference - 2013, Tübingen, Germany, September 2013. [ DOI : 10.12751/nncn.bc2013.0002 ]

    http://hal.inria.fr/hal-00858473
  • 14E. Teftef, C. Carvajal, T. Viéville, F. Alexandre.

    When early vision in the retina attempts to take decisions about visual motion events : the role of konio cells, in: Third International Symposium on Biology of Decision Making, Paris, France, Université Pierre et Marie Curie (Paris 6), May 2013.

    http://hal.inria.fr/hal-00826099
  • 15T. Viéville.

    Pourquoi, pour quoi et comment augmenter la culture scientifique ISN de chacune et chacun ?, in: Cultures numériques, Éducation aux médias et à l'Information, Lyon, France, DGESCO, ENS Lyon, May 2013.

    http://hal.inria.fr/hal-00826100

Internal Reports

  • 16F. Alexandre.

    Comprendre les réseaux cérébraux, Inria, January 2013, no RR-8219, 21 p.

    http://hal.inria.fr/hal-00783331
  • 17R. Gorojosky, F. Alexandre.

    Models of Hippocampus for pavlovian learning, Inria, October 2013, no RR-8377, 77 p.

    http://hal.inria.fr/hal-00870700
  • 18A. Rousseau, A. Darnaud, B. Goglin, C. Acharian, C. Leininger, C. Godin, C. Holik, C. Kirchner, D. Rives, E. Darquie, E. Kerrien, F. Neyret, F. Masseglia, F. Dufour, G. Berry, G. Dowek, H. Robak, H. Xypas, I. Illina, I. Gnaedig, J. Jongwane, J. Ehrel, L. Viennot, L. Guion, L. Calderan, L. Kovacic, M. Collin, M.-A. Enard, M.-H. Comte, M. Quinson, M. Olivi, M. Giraud, M. Dorémus, M. Ogouchi, M. Droin, N. Lacaux, N. Rougier, N. Roussel, P. Guitton, P. Peterlongo, R.-M. Cornus, S. Vandermeersch, S. Maheo, S. Lefebvre, S. Boldo, T. Viéville, V. Poirel, A. Chabreuil, A. Fischer, C. Farge, C. Vadel, I. Astic, J.-P. Dumont, L. Féjoz, P. Rambert, P. Paradinas, S. De Quatrebarbes, S. Laurent.

    Médiation Scientifique : une facette de nos métiers de la recherche, March 2013, 34 p.

    http://hal.inria.fr/hal-00804915
  • 19E. Teftef, M.-J. Escobar, A. Astudillo, C. Carvajal, B. Cessac, A. Palacios, T. Viéville, F. Alexandre.

    Modeling non-standard retinal in/out function using computer vision variational methods, Inria, January 2013, no RR-8217, 28 p.

    http://hal.inria.fr/hal-00783091

Scientific Popularization

  • 20F. Alexandre, C. Carvajal, T. Viéville.

    Comprendre le système le plus complexe de notre planète ?, in: Mathématique pour la planète Terre, Un jour une brève, December 2013.

    http://hal.inria.fr/hal-00919818
  • 21A. Alvarez, T. Viéville.

    Dis maman (ou papa), c'est quoi un algorithme dans ce monde numérique ?
, in: Image des Maths, January 2014.

    http://hal.inria.fr/hal-00926333
  • 22A. Alvarez, T. Viéville.

    Dis maman (ou papa), comment on cache des secrets dans le monde numérique ?, in: Image des Maths, January 2014.

    http://hal.inria.fr/hal-00926349
  • 23A. Alvarez, T. Viéville.

    Dis papa (ou maman), comment arrivent les bugs dans le monde numérique ?, in: Image des Maths, January 2014.

    http://hal.inria.fr/hal-00926346
  • 24N. Rougier.

    Outils et bibliothèques de visualisation, in: High Performance Computing Magazine France, November 2013, vol. 1, no 8, pp. 64-65.

    http://hal.inria.fr/hal-00907289
  • 25E. Teftef, T. Viéville.

    La grenouille gobe t'elle aussi les cailloux ? Une introduction aux neurosciences computationnelles, in: EpiNet, February 2013, vol. 152.

    http://hal.inria.fr/hal-00789149

Other Publications

  • 26C. Carvajal, T. Viéville, F. Alexandre.

    A modeling study of the dynamic interplay between pathways in the thalamocortical visual system: The Magno and Koniocellular streams case, October 2013, Poster.

    http://hal.inria.fr/hal-00874115
  • 27C. Carvajal, T. Viéville, F. Alexandre.

    Impact of the Konio pathway in the thalamocortical visual system: a modeling study, in: Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Paris, France, July 2013, P6 p.

    http://hal.inria.fr/hal-00842314
  • 28G. Detorakis, N. Rougier.

    A computational view of area 3b of primary somatosensory cortex, in: Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Paris, France, July 2013, P333 p.

    http://hal.inria.fr/hal-00842311
  • 29T. Viéville.

    Comment le travail scientifique interagit avec la société : vraies et fausses bonnes idées, April 2013, Blog sur science et citoyenneté, articles validés par leur comité de lecture.

    http://hal.inria.fr/hal-00809857
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.
  • 40T. Gollisch, M. Meister.

    Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina, in: Neuron, January 2010, vol. 65, no 2, pp. 150–164.

    http://www.cell.com/neuron/abstract/S0896-6273(09)00999-4
  • 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, 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
  • 45N. Rougier, A. Hutt.

    Synchronous and Asynchronous Evaluation of Dynamic Neural Fields, in: J. Diff. Eq. Appl., 2009.
  • 46N. Rougier.

    Dynamic Neural Field with Local Inhibition, in: Biological Cybernetics, 2006, vol. 94, no 3, pp. 169-179.
  • 47L. Squire.

    Memory systems of the brain: a brief history and current perspective, in: Neurobiol. Learn. Mem., 2004, vol. 82, pp. 171-177.
  • 48W. Taouali, T. Viéville, N. Rougier, F. Alexandre.

    No clock to rule them all, in: Journal of Physiology, 2011, vol. 105, no 1-3, pp. 83-90.
  • 49T. Trappenberg.

    Fundamentals of Computational Neuroscience, Oxford University Press, 2002.
  • 50T. 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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