| 2005 |
|---|
| 10 | EE | Jean-Paul Banquet,
Philippe Gaussier,
Mathias Quoy,
Arnaud Revel,
Yves Burnod:
A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies.
Neural Computation 17(6): 1339-1384 (2005) |
| 2003 |
|---|
| 9 | EE | 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?
AIME 2003: 377-386 |
| 8 | EE | Sorin Moga,
Philippe Gaussier,
Jean-Paul Banquet:
Sequence Learning Using the Neural Coding.
IWANN (1) 2003: 198-205 |
| 2002 |
|---|
| 7 | EE | 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.
Biological Cybernetics 86(1): 15-28 (2002) |
| 2001 |
|---|
| 6 | | Pierre Andry,
Philippe Gaussier,
Sorin Moga,
Jean-Paul Banquet,
Jacqueline Nadel:
Learning and communication via imitation: an autonomous robot perspective.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(5): 431-442 (2001) |
| 2000 |
|---|
| 5 | EE | Jean-Paul Banquet,
Yves Burnod,
Philippe Gaussier,
Arnaud Revel:
A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent.
IJCNN (2) 2000: 41-48 |
| 4 | EE | Philippe Gaussier,
Cédric Joulain,
Jean-Paul Banquet,
Sacha Leprêtre,
Arnaud Revel:
The visual homing problem: An example of robotics/biology cross fertilization.
Robotics and Autonomous Systems 30(1-2): 155-180 (2000) |
| 1999 |
|---|
| 3 | EE | Arnaud Revel,
Philippe Gaussier,
Jean-Paul Banquet:
Taking inspiration from the Hippocampus can help solving robotics problems.
ESANN 1999: 357-362 |
| 2 | EE | 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.
EWLR 1999: 103-119 |
| 1998 |
|---|
| 1 | EE | Philippe Gaussier,
Sorin Moga,
Mathias Quoy,
Jean-Paul Banquet:
From Perception-Action Loops to Imitation Processes: A Bottom-Up Approach of Learning by Imitation.
Applied Artificial Intelligence 12(7-8): 701-727 (1998) |
