Lesions of the medial shell of the nucleus accumbens impair rats in finding larger rewards, but spare reward-seeking behavior, Behavioural Brain Research, vol.117, issue.1-2, pp.173-83, 2000. ,
DOI : 10.1016/S0166-4328(00)00303-X
URL : https://hal.archives-ouvertes.fr/hal-00618317
Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity, Biological Cybernetics, vol.83, issue.3, pp.287-99, 2000. ,
DOI : 10.1007/s004220000171
A modular neural-network model of the basal ganglia???s role in learning and selecting motor behaviours, Cognitive Systems Research, vol.3, issue.1, pp.5-13, 2002. ,
DOI : 10.1016/S1389-0417(01)00039-0
Multiple Model-Based Reinforcement Learning, Neural Computation, vol.3, issue.6, pp.1347-69, 2002. ,
DOI : 10.1016/S1364-6613(98)01221-2
State of the artificial rat Psikharpax, From Animals to Animats 8: Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior, pp.3-12, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-00016411
A growing neural gas network learns topologies, Advances in Neural Information Processing Systems, pp.625-657, 1995. ,
Neural Networks and the Bias/Variance Dilemma, Neural Computation, vol.36, issue.1, pp.1-58, 1992. ,
DOI : 10.1162/neco.1990.2.1.1
A computational model of action selection in the basal ganglia. I. A new functional anatomy, Biological Cybernetics, vol.84, issue.6, pp.401-411, 2001. ,
DOI : 10.1007/PL00007984
Growing neural gas : Experiments with GNG, GNG with utility and supervised GNG, 2002. ,
Building Neural Representations of Habits, Science, vol.286, issue.5445, pp.286-1745, 1999. ,
DOI : 10.1126/science.286.5445.1745
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats, Adaptive Behavior, vol.13, issue.2 ,
DOI : 10.1177/105971230501300205
URL : https://hal.archives-ouvertes.fr/hal-00016390
Self-organizing maps, 1995. ,
Reinforcement learning control using self-organizing map and multi-layer feed-forward neural network, International Conference on Control Automation and Systems, p.2003, 2003. ,
The Psikharpax project: towards building an artificial rat, Robotics and Autonomous Systems, vol.50, issue.4, pp.211-234, 2005. ,
DOI : 10.1016/j.robot.2004.09.018
URL : https://hal.archives-ouvertes.fr/hal-00016391
A self-organising network that grows when required, Neural Networks, vol.15, issue.8-9, pp.1041-58, 2002. ,
DOI : 10.1016/S0893-6080(02)00078-3
Layered Control Architectures in Robots and Vertebrates, Adaptive Behavior, vol.7, issue.1, pp.99-127, 1999. ,
DOI : 10.1177/105971239900700105
A Neural Substrate of Prediction and Reward, Science, vol.275, issue.5306, pp.275-1593, 1997. ,
DOI : 10.1126/science.275.5306.1593
Applications of the self-organizing map to reinforcement learning, Neural Networks, vol.1589, pp.1107-1131, 2002. ,
Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, vol.9, issue.5, 1998. ,
DOI : 10.1109/TNN.1998.712192
Input Partitioning to Mixture of Experts, IEEE/INNS International Joint Conference on Neural Networks, pp.227-259, 2002. ,
Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems, Neural Networks, vol.12, issue.7-8, pp.1131-1172, 1999. ,
DOI : 10.1016/S0893-6080(99)00060-X