Dissociating hippocampal and striatal contributions to sequential prediction learning, European Journal of Neuroscience, vol.29, issue.7, pp.1011-1023, 2012. ,
DOI : 10.1111/j.1460-9568.2011.07920.x
A biologically inspired meta-control navigation system for the Psikharpax rat robot, Bioinspiration & Biomimetics, vol.7, issue.2, p.25009, 2012. ,
DOI : 10.1088/1748-3182/7/2/025009
URL : https://hal.archives-ouvertes.fr/hal-01000945
Pavlovian valuation systems in learning and decision making, Current Opinion in Neurobiology, vol.22, issue.6, pp.1054-1061, 2012. ,
DOI : 10.1016/j.conb.2012.06.004
Disruption of conditioned reward association by typical and atypical antipsychotics, Pharmacology Biochemistry and Behavior, vol.96, issue.1, pp.40-47, 2010. ,
DOI : 10.1016/j.pbb.2010.04.004
Trial-by-trial data analysis using computational models, Decision Making, Affect, and Learning: Attention and Performance XXIII, 2011. ,
DOI : 10.1093/acprof:oso/9780199600434.003.0001
Model-Based Influences on Humans' Choices and Striatal Prediction Errors, Neuron, vol.69, issue.6, pp.1204-1215, 2011. ,
DOI : 10.1016/j.neuron.2011.02.027
URL : http://doi.org/10.1016/j.neuron.2011.02.027
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control, Nature Neuroscience, vol.58, issue.12, pp.1704-1711, 2005. ,
DOI : 10.1038/nn1560
The misbehavior of value and the discipline of the will, Neural Networks, vol.19, issue.8, pp.1153-1160, 2006. ,
DOI : 10.1016/j.neunet.2006.03.002
A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2002. ,
DOI : 10.1109/4235.996017
Which cue to ???want???? Opioid stimulation of central amygdala makes goal-trackers show stronger goal-tracking, just as sign-trackers show stronger sign-tracking, Behavioural Brain Research, vol.230, issue.2, pp.399-408, 2012. ,
DOI : 10.1016/j.bbr.2012.02.032
Variation in the Form of Pavlovian Conditioned Approach Behavior among Outbred Male Sprague-Dawley Rats from Different Vendors and Colonies: Sign-Tracking vs. Goal-Tracking, PLoS ONE, vol.37, issue.10, p.75042, 2013. ,
DOI : 10.1371/journal.pone.0075042.s001
Individual differences in the attribution of incentive salience to reward-related cues: Implications for addiction, Neuropharmacology, vol.56, pp.139-148, 2009. ,
DOI : 10.1016/j.neuropharm.2008.06.027
A food predictive cue must be attributed with incentive salience for it to induce c-fos mRNA expression in cortico-striatal-thalamic brain regions, Neuroscience, vol.196, pp.80-96, 2011. ,
DOI : 10.1016/j.neuroscience.2011.09.004
A selective role for dopamine in stimulus???reward learning, Nature, vol.76, issue.7328, pp.53-57, 2011. ,
DOI : 10.1038/nature09588
Individual differences in the propensity to approach signals vs goals promote different adaptations in the dopamine system of rats, Psychopharmacology, vol.12, issue.3, pp.599-607, 2007. ,
DOI : 10.1007/s00213-006-0535-8
The learning curve: Implications of a quantitative analysis, Proceedings of the national academy of Sciences of the united States of america 101, pp.13124-13131, 2004. ,
DOI : 10.1073/pnas.0404965101
Dopaminergic control of the exploration-exploitation trade-off via the basal ganglia, Frontiers in Neuroscience, vol.6, issue.9, 2012. ,
DOI : 10.3389/fnins.2012.00009
URL : https://hal.archives-ouvertes.fr/hal-00688928
press. The role of learning-related dopamine signals in addiction vulnerability, Prog Neurobiol ,
Integrating cortico-limbicbasal ganglia architectures for learning model-based and modelfree navigation strategies, Front Behav Neurosci, vol.6, issue.79, 2012. ,
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations, PLoS Computational Biology, vol.6, issue.2, p.1003466, 2014. ,
DOI : 10.1371/journal.pcbi.1003466.s010
Which Cue to "Want?" Central Amygdala Opioid Activation Enhances and Focuses Incentive Salience on a Prepotent Reward Cue, Journal of Neuroscience, vol.29, issue.20, pp.6500-6513, 2009. ,
DOI : 10.1523/JNEUROSCI.3875-08.2009
Ventral Striatum and Orbitofrontal Cortex Are Both Required for Model-Based, But Not Model-Free, Reinforcement Learning, Journal of Neuroscience, vol.31, issue.7, pp.31-2700, 2011. ,
DOI : 10.1523/JNEUROSCI.5499-10.2011
Quantifying Individual Variation in the Propensity to Attribute Incentive Salience to Reward Cues, PLoS ONE, vol.49, issue.1111/j.1369-1600.2011.00433, p.38987, 2012. ,
DOI : 10.1371/journal.pone.0038987.t002
SFERESv2: Evolvin' in the Multi- Core World, WCCI 2010 IEEE World Congress on Computational Intelligence, Congress on Evolutionary Computation (CEC), pp.4079-4086, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00687633
Neural systems analysis of decision making during goal-directed navigation, Progress in Neurobiology, vol.96, issue.1, pp.96-135, 2012. ,
DOI : 10.1016/j.pneurobio.2011.08.010
Dissociating the Predictive and Incentive Motivational Properties of Reward-Related Cues Through the Study of Individual Differences, Biological Psychiatry, vol.65, issue.10, pp.869-873, 2009. ,
DOI : 10.1016/j.biopsych.2008.09.006
The role of dopamine in the accumbens core in the expression of Pavlovian-conditioned responses, European Journal of Neuroscience, vol.5, issue.4, pp.2521-2532, 2012. ,
DOI : 10.1111/j.1460-9568.2012.08217.x
Individual variation in resisting temptation: Implications for addiction, Neuroscience & Biobehavioral Reviews, vol.37, issue.9, pp.1955-1975, 2013. ,
DOI : 10.1016/j.neubiorev.2013.02.008
Predictive reward signal of dopamine neurons, J Neurophysiol, vol.80, pp.1-27, 1998. ,
Triple Dissociation of Information Processing in Dorsal Striatum, Ventral Striatum, and Hippocampus on a Learned Spatial Decision Task, Neuron, vol.67, issue.1, pp.25-32, 2010. ,
DOI : 10.1016/j.neuron.2010.06.023
Ventral striatum: a critical look at models of learning and evaluation, Current Opinion in Neurobiology, vol.21, issue.3, pp.387-392, 2011. ,
DOI : 10.1016/j.conb.2011.02.011
A Neural Computational Model of Incentive Salience, PLoS Computational Biology, vol.363, issue.7, p.1000437, 2009. ,
DOI : 10.1371/journal.pcbi.1000437.g004