- 2019
-
Sour grapes and sweet victories: How actions shape preferences
Vinckier*, F., Rigoux*, L., Kurniawan*, I.T., Hu, C., Bourgeois-Gironde, S., Daunizeau, J., Pessiglione, M.
PLoS computational biology.
15(1):e1006499
- 2018
-
Cortical parcellation based on structural connectivity: A case for generative models
Tittgemeyer, M., Rigoux, L., Knösche, T.R.
Neuroimage.
173, pp. 592-603
-
Neuro-computational account of how mood fluctuations arise and affect decision making
Vinckier, F., Rigoux, L., Oudiette, D. & Pessiglione, M.
Nature Communications.
9 (1708)
-
Supra-Additive Effects of Combining Fat and Carbohydrate on Food Reward
DiFeliceantonio*, A.G., Coppin*, G., Rigoux, L., Thanarajah, S.E., Dagher, A., Tittgemeyer, M., & Small, D. M.
Cell Metabolism.
28 (1) - p33-44.e3
-
Influence of vmPFC on dmPFC Predicts Valence-Guided Belief Formation
Kuzmanovic, B., Rigoux, L. & Tittgemeyer, M.
Journal of Neuroscience.
0266-18
- 2017
-
Valence-Dependent Belief Updating: Computational Validation
Kuzmanovic, B., Rigoux, L.
Frontiers in Psychology.
8
-
Computational neuroimaging strategies for single patient predictions
Stephan, K.E., Schlagenhauf, F., Huys, Q.J.M., Raman, S., Aponte, E.A., Brodersen, K.H., Rigoux, L., Moran, R.J., Daunizeau, J., Dolan, R.J., Friston, K.F., Heinz, A.
Neuroimage.
145
-
Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks
Lopez-Persem A., Rigoux L., Bourgeois-Gironde S., Daunizeau J., Pessiglione M.
PLoS computational biology.
13(11):e1005848
- 2016
-
Brief Report: Reduced Optimism Bias in Self-Referential Belief Updating in High-Functioning Autism
Kuzmanovic, B., Rigoux, L., Vogeley, K.
Journal of autism and developmental disorders.
-
Computational dissection of dopamine motor and motivational functions in humans
Le Bouc, R., Rigoux, L., Schmidt, L. , Degos, B., Welter, M.L., Vidailhet, M., Daunizeau, J., Pessiglione, M.
Journal of Neuroscience.
36
(25)
-
Confidence and psychosis: a neuro-computational account of contingency learning disruption by NMDA blockade
Vinckier, F., Gaillard, R., Palminteri, S., Rigoux, L., Salvador, A., Fornito, A., Adapa, R., Krebs, M.O., Pessiglione, M, Fletcher, P.C.
Molecular psychiatry.
21
(7)
- 2015
-
Dynamic Causal Modelling of Brain-Behaviour Relationships
Rigoux L. & Daunizeau J.
Neuroimage.
117
: 202–221
-
An Obesity-Predisposing Variant of the FTO Gene Regulates D2R-Dependent Reward Learning
Sevgi M., Rigoux L., Kühn A.B., Mauer J., Schilbach L., Hess M.E., Gruendler T.O.J., Ullsperger M., Stephan K.E., Brüning J., & Tittgemeyer M.
Journal of Neuroscience.
35
(36)
: 12584-12592
- 2014
-
Bayesian model selection for group studies—Revisited
Rigoux L., Stephan K.E., Friston K., & Daunizeau J.
NeuroImage.
84
: 971-985
-
VBA - a probabilistic treatment of nonlinear models for neurobiological and behavioural data
Daunizeau J., Adam V., & Rigoux L.
PLoS computational biology.
10
(1)
- 2013
-
Neurocomputational account of how the human brain decides when to have a break
Meyniel F., Sergent C., Rigoux L., Daunizeau J., & Pessiglione M.
Proceedings of the National Academy of Sciences.
110
(7)
: 2641-2646
- 2012
-
A model of reward-and effort-based optimal decision making and motor control
Rigoux L. & Guigon E.
PLoS computational biology.
8
(10)