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Philippe Gaussier: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Philippe Gaussier, Pierre Andry, Jean-Paul Banquet, Mathias Quoy, Jacqueline Nadel, Arnaud Revel
    Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games? [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:377-386 [Conf]
  2. Philippe Gaussier, Ken Prepin, Jacqueline Nadel
    Toward a Cognitive System Algebra: Application to Facial Expression Learning and Imitation. [Citation Graph (0, 0)][DBLP]
    Embodied Artificial Intelligence, 2003, pp:243-258 [Conf]
  3. Sorin Moga, Philippe Gaussier
    A Neural Structure for Learning by Imitation. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:314-318 [Conf]
  4. M. Maillard, Olivier Gapenne, L. Hafemeister, Philippe Gaussier
    Perception as a Dynamical Sensori-Motor Attraction Basin. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:37-46 [Conf]
  5. Mathias Quoy, Philippe Gaussier, Sacha Leprêtre, Arnaud Revel
    A Neural Model for the Visual Navigation and Planning of a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:319-323 [Conf]
  6. Arnaud Revel, Philippe Gaussier, Jean-Paul Banquet
    Taking inspiration from the Hippocampus can help solving robotics problems. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:357-362 [Conf]
  7. Mathias Quoy, Philippe Gaussier, Sacha Leprêtre, Arnaud Revel, Jean-Paul Banquet
    A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment. [Citation Graph (0, 0)][DBLP]
    EWLR, 1999, pp:103-119 [Conf]
  8. Philippe Laroque, E. Fournier, P. H. Phong, Philippe Gaussier
    Cognitive map plasticity and imitation strategies to extend the performance of a MAS. [Citation Graph (0, 0)][DBLP]
    IAS, 2006, pp:326-333 [Conf]
  9. Olivier Gallet, Philippe Gaussier, Jean Pierre Cocquerez
    A Model of the Visual Attention to Speed up Image Analysis. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:246-250 [Conf]
  10. Sorin Moga, Philippe Gaussier
    Artificial Neural Network for Sequence Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1507-0 [Conf]
  11. Jean-Paul Banquet, Yves Burnod, Philippe Gaussier, Arnaud Revel
    A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:41-48 [Conf]
  12. Sorin Moga, Philippe Gaussier, Jean-Paul Banquet
    Sequence Learning Using the Neural Coding. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:198-205 [Conf]
  13. Sorin Moga, Philippe Gaussier, Mathias Quoy
    Investigating Active Pattern Recognition in an Imitative Game. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:516-523 [Conf]
  14. Nicolas Cuperlier, Mathias Quoy, Philippe Laroque, Philippe Gaussier
    Transition Cells and Neural Fields for Navigation and Planning. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2005, pp:346-355 [Conf]
  15. Mathias Quoy, Sorin Moga, Philippe Gaussier, Arnaud Revel
    Parallelization of Neural Networks Using PVM. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2000, pp:289-296 [Conf]
  16. Nicolas Cuperlier, Mathias Quoy, C. Giovannangeli, Philippe Gaussier, Philippe Laroque
    Transition Cells for Navigation and Planning in an Unknown Environment. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:286-297 [Conf]
  17. Philippe Gaussier, Sorin Moga, Mathias Quoy, Jean-Paul Banquet
    From Perception-Action Loops to Imitation Processes: A Bottom-Up Approach of Learning by Imitation. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:7-8, pp:701-727 [Journal]
  18. Jean-Paul Banquet, Philippe Gaussier, Mathias Quoy, Arnaud Revel, Yves Burnod
    A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:6, pp:1339-1384 [Journal]
  19. Philippe Gaussier, Cédric Joulain, Jean-Paul Banquet, Sacha Leprêtre, Arnaud Revel
    The visual homing problem: An example of robotics/biology cross fertilization. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2000, v:30, n:1-2, pp:155-180 [Journal]
  20. Philippe Gaussier, Arnaud Revel, Cédric Joulain, Stéphane Zrehen
    Living in a partially structured environment: How to bypass the limitations of classical reinforcement techniques. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1997, v:20, n:2-4, pp:225-250 [Journal]
  21. Philippe Gaussier, Stéphane Zrehen
    PerAc: A neural architecture to control artificial animals. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1995, v:16, n:2-4, pp:291-320 [Journal]
  22. Philippe Gaussier, Stéphane Zrehen
    Moving the frontiers between robotics and biology. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1995, v:16, n:2-4, pp:- [Journal]
  23. Mathias Quoy, Philippe Laroque, Philippe Gaussier
    Learning and motivational couplings promote smarter behaviors of an animat in an unknown world. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2002, v:38, n:3-4, pp:149-156 [Journal]
  24. Pierre Andry, Philippe Gaussier, Sorin Moga, Jean-Paul Banquet, Jacqueline Nadel
    Learning and communication via imitation: an autonomous robot perspective. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2001, v:31, n:5, pp:431-442 [Journal]
  25. Mathias Quoy, Sorin Moga, Philippe Gaussier
    Dynamical neural networks for planning and low-level robot control. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:4, pp:523-532 [Journal]
  26. Matthieu Lagarde, Pierre Andry, Philippe Gaussier
    The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:934-943 [Conf]
  27. Philippe Gaussier, Arnaud Revel, Jean-Paul Banquet, V. Babeau
    From view cells and place cells to cognitive map learning: processing stages of the hippocampal system. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:86, n:1, pp:15-28 [Journal]

  28. How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human? [Citation Graph (, )][DBLP]


  29. From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior. [Citation Graph (, )][DBLP]


  30. Model of the Hippocampal Learning of Spatio-temporal Sequences. [Citation Graph (, )][DBLP]


  31. Interest of Spatial Context for a Place Cell Based Navigation Model. [Citation Graph (, )][DBLP]


  32. From Force Control and Sensory-Motor Informations to Mass Discrimination. [Citation Graph (, )][DBLP]


  33. Autonomous Development of Social Referencing Skills. [Citation Graph (, )][DBLP]


  34. Path Integration Working Memory for Multi Tasks Dead Reckoning and Visual Navigation. [Citation Graph (, )][DBLP]


  35. Why and How Hippocampal Transition Cells Can Be Used in Reinforcement Learning. [Citation Graph (, )][DBLP]


  36. Distributed real time neural networks in interactive complex systems. [Citation Graph (, )][DBLP]


  37. Navigation and Planning in an Unknown Environment Using Vision and a Cognitive Map. [Citation Graph (, )][DBLP]


  38. Autonomous vision-based navigation: Goal-oriented action planning by transient states prediction, cognitive map building, and sensory-motor learning. [Citation Graph (, )][DBLP]


  39. Robust Mapless Outdoor Vision-Based Navigation. [Citation Graph (, )][DBLP]


  40. Efficient Neural Models for Visual Attention. [Citation Graph (, )][DBLP]


  41. Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors. [Citation Graph (, )][DBLP]


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