Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1C. Carvajal.
  Dynamic interplay between standard and non-standard retinal pathways in the early thalamocortical visual system, Université de Lorraine, December 2014.
  https://hal.inria.fr/tel-01101218

Articles in International Peer-Reviewed Journals

• 2I. Detorakis, N. P. Rougier.
  Structure of receptive fields in a computational model of area 3b of primary sensory cortex, in: Frontiers in Computational Neuroscience, July 2014, vol. 8. [ DOI : 10.3389/fncom.2014.00076 ]
  https://hal.inria.fr/hal-01052817
• 3N. P. Rougier, M. Droettboom, E. Bourne.
  Ten Simple Rules for Better Figures, in: PLoS Computational Biology, September 2014. [ DOI : 10.1371/journal.pcbi.1003833 ]
  https://hal.inria.fr/hal-01063732
• 4N. P. Rougier.
  Antialiased 2D Grid, Marker, and Arrow Shaders, in: Journal of Computer Graphics Techniques, 2014, vol. 3, n^o 4, 52 p.
  https://hal.archives-ouvertes.fr/hal-01081592

Articles in National Peer-Reviewed Journals

• 5A. Alvarez, P. Garreau, F. Tort, T. Viéville.
  Donner du sens aux éléments de technologie : jouons avec nos enfants, in: Adjectif, May 2014.
  https://hal.inria.fr/hal-01005125
• 6A. Alvarez, P. Garreau, F. Tort, T. Viéville.
  Donner du sens aux éléments de technologie : soulevons le capot du numérique, in: Adjectif, June 2014.
  https://hal.inria.fr/hal-01005127

Invited Conferences

• 7F. Alexandre.
  A computational model of the amygdala revisits pavlovian learning, in: Sino-French International Workshop on Computational Neuroscience, Shanghai, China, June 2014.
  https://hal.inria.fr/hal-01016188
• 8N. P. Rougier.
  Cortical Plasticity: A Computational approach, in: 6th Workshop of the Computational Neuroscience Network, Marseille, France, March 2014.
  https://hal.archives-ouvertes.fr/hal-00977476
• 9N. P. Rougier.
  Cortical plasticity: a neural field approach, in: Approaching Cognition from the Computational Neuroscience perspective, Göttingen, Germany, September 2014, Sattelite workshop of the Bernstein Conference.
  https://hal.archives-ouvertes.fr/hal-01102299
• 10N. P. Rougier.
  Le Rôle des corps dans la cognition humaine, in: Forum des Sciences Cognitives, Paris, France, March 2014.
  https://hal.archives-ouvertes.fr/hal-00977509

International Conferences with Proceedings

• 11F. Alexandre, M. Carrere, R. Kassab.
  Feature, Configuration, History : a bio-inspired framework for information representation in neural networks, in: International Conference on Neural Computation Theory and Applications, Rome, Italy, October 2014.
  https://hal.inria.fr/hal-01095036
• 12M. Carrere, F. Alexandre.
  A model of amygdalar modulations and interactions in pavlovian conditioning, in: Neural Computation and Psychology Workshop, Lancaster, United Kingdom, August 2014.
  https://hal.inria.fr/hal-01095032
• 13N. Denoyelle, F. Pouget, T. Viéville, F. Alexandre.
  VirtualEnaction: A Platform for Systemic Neuroscience Simulation, in: International Congress on Neurotechnology, Electronics and Informatics, Rome, Italy, October 2014.
  https://hal.inria.fr/hal-01063054

National Conferences with Proceedings

• 14P. Guitton, M.-H. Comte, T. Viéville.
  Partager le travail scientifique à l'âge numérique, in: Colloque Innovation et Gouvernance de l'IST, Meudon, France, Direction de l'information scientifique et technique CNRS, March 2014.
  https://hal.inria.fr/hal-00956818

Conferences without Proceedings

• 15D. Moretti, A. Garenne, F. Poulletier De Gannes, S. Azzopardi, R. Roder, E. Haro, I. Lagroye, B. Veyret, N. Lewis.
  Decreased electrical activity in neuronal networks exposed to CW and GSM-1800 signals, in: BIOEM2014 conference, Cape Town, South Africa, June 2014.
  https://hal.archives-ouvertes.fr/hal-01016649

Scientific Books (or Scientific Book chapters)

• 16A. Hutt, N. P. Rougier.
  Numerical simulation scheme of one-and two-dimensional neural fields involving space-dependent delays, in: Neural Field Theory, P. B. Graben, S. Coombes, R. Potthast, J. Wright (editors), Springer, 2014.
  https://hal.inria.fr/hal-00872132

Scientific Popularization

• 17A. Alvarez, T. Viéville.
  Dis maman (ou papa), c'est quoi un algorithme dans ce monde numérique ?
, in: Image des Maths, January 2014.
  https://hal.inria.fr/hal-00926333
• 18A. Alvarez, T. Viéville.
  Dis maman (ou papa), comment on cache des secrets dans le monde numérique ?, in: Image des Maths, January 2014.
  https://hal.inria.fr/hal-00926349
• 19A. Alvarez, T. Viéville.
  Dis papa (ou maman), comment arrivent les bugs dans le monde numérique ?, in: Image des Maths, January 2014.
  https://hal.inria.fr/hal-00926346
• 20C. Barrois De Sarigny, F. Baudin, M.-H. Comte, P. Garreau, R. James, S. De Quatrebarbes, F. Rigaud, T. Viéville.
  L'Isoloir, Citoyenneté & Numérique, Documentation du joueur, in: L'Isoloir, Inria (editor), Tralalère, August 2014.
  https://hal.inria.fr/hal-01055891
• 21N. P. Rougier.
  Visualisation scientifique avec Matplotlib, in: Linux Magazine, July 2014, vol. 73, pp. 44-55.
  https://hal.inria.fr/hal-01100170
• 22A. Teston, L. Ducas, M. Jouhet, T. Viéville.
  Cryptris 1/2. Comprendre une des techniques les plus sophistiquées de cryptographie en... jouant à Tetris, in: Image des Maths, June 2014.
  https://hal.inria.fr/hal-01009430
• 23T. Viéville, E. Tassy.
  La physicienne et la prof d'informatique, in: http://binaire.blog.lemonde.fr, S. Abiteboul (editor), lemonde.fr, March 2014.
  https://hal.inria.fr/hal-00955087

Other Publications

• 24M. Guthrie, C. Héricé, R. Khalil, M. Moftah, T. Boraud, A. Garenne.
  Decision making mechanisms in a connectionist model of the basal ganglia, May 2014, SBDM - Fourth International Symposium on Biology of Decision Making.
  https://hal.inria.fr/hal-01102619
• 25M. Topalidou, A. Leblois, T. Boraud, N. P. Rougier.
  A long journey into reproducible computational neuroscience research, May 2014, SBDM - Fourth International Symposium on Biology of Decision Making.
  https://hal.inria.fr/hal-01090648

References in notes

• 26F. 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.
• 27S. Amari.
  Dynamic of pattern formation in lateral-inhibition type neural fields, in: Biological Cybernetics, 1977, vol. 27, pp. 77–88.
• 28D. 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.
  http://dx.doi.org/10.1017/S0140525X97001611
• 29D. Bertsekas, J. Tsitsiklis.
  Parallel and Distributed Computation: Numerical Methods, Athena Scientific, 1997.
• 30R. 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.
• 31S. Coombes.
  Waves, bumps and patterns in neural field theories, in: Biol. Cybern., 2005, vol. 93, pp. 91-108.
• 32P. Dayan, L. Abbott.
  Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001.
• 33K. Doya.
  What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?, in: Neural Networks, 1999, vol. 12, pp. 961–974.
• 34J. 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
• 35W. Gerstner, W. Kistler.
  Spiking Neuron Models: Single Neurons, Populations, Plasticity, Cambridge University Press, Cambridge University Press, 2002.
• 36T. Mitchell.
  Machine Learning, Mac Graw-Hill Press, 1997.
• 37D. 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.
• 38R. O'Reilly, Y. Munakata.
  Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, MIT Press, Cambridge, MA, USA, 2000.
• 39N. P. Rougier, J. Fix.
  DANA: Distributed (asynchronous) Numerical and Adaptive modelling framework, in: Network: Computation in Neural Systems, December 2012, vol. 23, n^o 4, pp. 237-253. [ DOI : 10.3109/0954898X.2012.721573 ]
  http://hal.inria.fr/hal-00718780
• 40N. P. Rougier, A. Hutt.
  Synchronous and Asynchronous Evaluation of Dynamic Neural Fields, in: J. Diff. Eq. Appl., 2009.
• 41N. P. Rougier.
  Dynamic Neural Field with Local Inhibition, in: Biological Cybernetics, 2006, vol. 94, n^o 3, pp. 169-179.
• 42L. Squire.
  Memory systems of the brain: a brief history and current perspective, in: Neurobiol. Learn. Mem., 2004, vol. 82, pp. 171-177.
• 43W. 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.
• 44T. Trappenberg.
  Fundamentals of Computational Neuroscience, Oxford University Press, 2002.
• 45T. 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