Publications

* Designates equal contribution as co-first or co-last author

Working papers 

• Nasioulas A, Potier D, Cerrotti F, Lebreton M, Palminteri S. Feedback-induced dispositional changes in risk preferences: the roles of curiosity and regret. (under review)

• Hayes W, Yax N, Palminteri S. Relative value biases in Large Language Models. (preprint)

• Bavard S & Palminteri S. Does the notion of intrinsic reward explain context-dependent valuation? (preprint)

• Vrizzi S, Najar A, *Palminteri S, & *Lebreton M. Comparing the test-retest reliability of behavioral, computational and self-reported individual measures of reward and punishment sensitivity in relation to mental health symptoms. (under revision).

• Rustichini A, Soukupova M, Palminteri S. Adaptive coding is optimal in reinforcement learning (preprint).

• Williams G, Palminteri S, & Haggard P. Assembling hierarchies of action using sequencing and abstraction: studies and models of zero-shot learning. (preprint).

• Hamroun, *Lebreton M, & *Palminteri S. Dissociation between task structure learning and performance in human model-based reinforcement learning (preprint).

• Palminteri S. How to prepare a rebuttal letter: Some advice from a scientist, reviewer and editor. (preprint).

In press

• Anllo H, ... & Palminteri S. Outcome context-dependence is not WEIRD: comparing reinforcement- and description-based economic preferences worldwide. (Nature Human Behaviour).  

•  *Yax N, *Anllo H, Palminteri S. Studying and improving reasoning in humans and machines. (Communications Psychology)

2024

• Lussange J, Vrizzi S, Palminteri S, Gutkin B. Mesocale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study. PLoS One (2024). 

2023

• Garcia B, Bourgeois-Gironde S, Lebreton M and Palminteri S. Experiential values are underweighted in decisions involving symbolic options. Nature Human Behaviour (2023).

• Bavard S & Palminteri S. The functional form of value normalization in human reinforcement learning. eLife (2023).

• Collomb-Clerc A, Gueguen M, ..., *Palminteri S, *Bastin J. Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning. Nature Communications (2023)

• Palminteri S. Choice-confirmation bias and gradual perseveration in human reinforcement learning Behavioral Neuroscience (2023).

• Cecchi R, Palminteri S. Objective models of subjective feelings. Neuroscience and Biobehavioral Reviews (2023)

• Salem-Garcia N, Palminteri S, Lebreton M. The computational origins of confidence biases in reinforcement learning. Psychological Review (2023). 

• Ting CC, Salem-Garcia N, Palminteri S, *Engelmann J, *Lebreton M. Neural and computational underpinnings of biased confidence in human reinforcement learning. Nature Communications (2023). 

• Gueguen MCM, Anlló H, Bonagura D, Hafezi S, Palminteri S, Konova AB. Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction. (Biological Psychiatry)

• Lussange J, Vrizzi S,  Bourgeois-Gironde S, Palminteri S, Gutkin B. Stock price formation: precepts from a multi-agent reinforcement learning model. Computational Economics (2023). 

2022

• Palminteri S & Lebreton M. The computational roots of positivity and confirmation biases in reinforcement-learning. TICS (2022).

• Vandendriessche H, Demmou A, Bavard S, Yadak J, Lemogne C, Mauras T, Palminteri S.  Context-dependent reinforcement learning impairment in depression: evidence for a negativity bias?  Psychological Medicine (2022). 

• *Chierchia G, *Soukopovà M, Kilford EJ, Griffin C, Leung J, *Palminteri S, *Blakemore S-J. Choice-conformation bias in reinforcement learning changes with age during adolescence. Developmental Science (2022).

• Atkinson-Clement C, Lebreton M, Patsalides L, de Liege A, Klein Y, Roze E, Deniau E, Hartmann A, Palminteri S, Worbe Y. Decision-making under risk and ambiguity in adults with Tourette syndrome. Psychological Medecine (2022).

2021

• Palminteri S & Lebreton M. Context-dependent outcome encoding in human reinforcement learning. Current Opinion in Behavioral Sciences (2021)

• Bavard S, Rustichini A, Palminteri S. Two sides of the same coin: beneficial and detrimental consequences of range adaptation in human reinforcement learning. Science Advances  (2021).

• Garcia B,  Cerrotti F, Palminteri S. The description-experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Philosophical Transactions B (2021).

• Skvortsova V, Palminteri S, Buot A, Karachi C, Welter M-L, Pessilione M. A causal role for the pedunculopontine nucleus in human instrumental learning. Current Biology (2021).  

• Ting CC , Palminteri S,  *Lebreton M, *Engelmann J. The elusive effects of incidental anxiety on reinforcement-learning. Journal of Experimental Psychology: Learning, Memory, and Cognition (2021).

• Azzalini D, Buot A , Palminteri S , Tallon-Baudry C.  Responses to heartbeats in ventromedial prefrontal cortex contribute to subjective preference-based decisions. The Journal of Neuroscience (2021).

• Nair A, Johnson EB, Gregory S, Osborne-Crowley K, Zeun P, Scahill RI, Lowe J, Papoutsi M; Palminteri S, Rutledge RB, Rees G, Tabrizi SJ. Aberrant striatal value representation in Huntington’s disease gene carriers 25 years before onset. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (2021). 

2020

• Najar A, Bonnet E, Bahador B, Palminteri S. The actions of others act as a pseudo-reward to drive imitation in the context of social reinforcement learning.  Plos Biology (2020).  INSERM press release.

• *Chambon V, *Théro H, Vidal M, Vandendriesch H, Haggard P, Palminteri S. Information about action outcomes differentially affects learning from self-determined versus imposed choices. Nature Human Behaviour (2020).

• Pischedda D, *Palminteri S, *Coricelli G. The role of counterfactual information on outcome value coding in mPFC and cingulate cortex: from an absolute to an adaptive neural code.   The Journal of Neuroscience (2020).

• Bouchacourt F, Palminteri S,  Koechlin E, Ostojic S. Temporal Chunking as a Mechanism for Unsupervised Learning of Task-Sets. eLife (2020).

• Ting CC, Palminteri S,  Engelmann JB, Lebreton M. Robust valence-induced biases on motor response and confidence in human reinforcement learning. CABN (2020).

• Lussange J, Lazarevich I,  Bourgeois-Gironde S, Palminteri S, Gutkin B. Modelling stock markets by multi-agent reinforcement learning, Computational economics (2020).

2019

• Lebreton M, Bavard S, Daunizeau J, Palminteri S. Assessing inter-individual differences with task-related functional neuroimaging.  Nature Human Behaviour (2019) 

• Safra L, Chevallier C, Palminteri S. Social information impairs reward learning in depressive subjects: behavioral and computational characterization. Plos Computational Biology (2019) 

• Fontanesi L, *Palminteri S, *Lebreton M. Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision modeling. CABN (2019)

• Lebreton M, Bacily K, *Palminteri S, *Engelmann JB. Contextual influence on confidence judgments in human reinforcement learning. PLoS Computational Biology (2019).

• Findling C, Skvortsova V, Dromnelle R, Palminteri S,  Wyart V. Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience (2019).

• Sidarus N, Palminteri S, Chambon V. Trading off the cost of conflict against expected rewards. Plos Computational Biology (2019) 

2018

• Lefebvre G, Nioche A, Bourgeois-Gironde S, Palminteri S. Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS (2018). CNRS press release. 

• *Bavard S, *Lebreton M, Khamassi M, Coricelli G, Palminteri S.   Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications (2018). INSERM press release. 

• Palminteri S, Chevallier C. Can we infer inter-individual differences in risk-taking from behavioural tasks? Frontiers in Psychology (2018). 

• Correa C, Noorman S, Jiang J, Palminteri S, Cohen MX, Lebreton M, van Gaal S. How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning. The Journal of Neuroscience (2018). 

• Giavazzi M,  Daland R, Palminteri S, Peperkamp S, Brugières P, Jacquemot C, Schramm C, Cleret de Langavant, Bachoud-Lévi A-C. The role of the striatum in linguistic selection: Evidence from Huntington's disease and computational modeling. Cortex (2018).

2017

• Lefebvre G, Lebreton M, Meyniel F, Bourgeois-Gironde S, Palminteri S. Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour (2017). INSERM press release .

• *Palminteri S, *Wyart V, Koechlin E. The importance of falsification in computational cognitive modeling. TICS (2017).

• Palminteri S, Lefebvre G, Kilford EJ, Blakemore SJ. Confirmation bias in human reinforcement learning: evidence from counterfactual feedback processing. PLoS Computational Biology (2017).  INSERM press release.

• Hertz U, Palminteri S, Brunetti S, Olesen C, Frith CD, Bahrami B. Neural computations underpinning the strategic management of influence in advice giving. Nature Communications (2017).

• Salvador A, Worbe Y, Delorme C, Coricelli G, Gaillard R, Robbins TW, Hartmann A, Palminteri S. Specific effect of dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome. Scientific Reports (2017). 

2016

• Palminteri S, Kilford EJ, Coricelli G, Blakemore SJ. The computational development of reinforcement learning during adolescence. PLoS Computational Biology (2016). UCL press release.

• Worbe Y, Palminteri S, Savulich G, Daw ND, Fernandez-Egea E, Robbins TW, Voon V. Valence-dependent effects of serotonin depletion on model-based and model-free choice strategies. Molecular Psychiatry (2016). 

• Vinckier F*, Gaillard R*, Palminteri S, Salvador A, Rigoux L, Fornito A, Adapa R, Krebs MO, Pessiglione M, Fletcher PC. Confidence and Psychosis: a neuro-computational account of contingency learning disruption by NMDA blockade. Molecular Psychiatry (2016).

• Delorme C, Salvador A, Valabrègue R,  Roze E, Palminteri S, Vidailhet M, de Wit S, Robbins TW, Hartmann A, Worbe Y. Enhanced habit formation in Gilles de la Tourette syndrome. Brain (2016).  

2015 and before

• Palminteri S, Khamassi M, Joffily M, Coricelli G. Contextual modulation of value signals in reward and punishment learning. Nature Communications (2015). CNRS press release.

• Skortzova V, Palminteri S, Pessiglione M. Learning to minimize efforts versus maximizing rewards: computational principles and neural correlates. The Journal of Neuroscience (2014).

• Palminteri S, Serra G, Buot A, Schmidt L, Welter ML, Pessiglione M. Hemispheric dissociation of reward processing in humans: Insights from deep brain stimulation. Cortex (2013).

• Palminteri S, Justo D, Jauffret C, Pavlicek B, Dauta A, Delmaire C, Czernecki V, Karachi K, Capelle L, Durr A, Pessiglione M. Critical roles for anterior insula and dorsal striatum in punishment-based avoidance learning. Neuron (2012). INSERM press release.

• *Palminteri S, *Clair AH, Mallet L, Pessiglione M. Similar improvement of reward and punishment learning by serotonin reuptake inhibitors in obsessive-compulsive disorder. Biological Psychiatry (2012). 

• Palminteri S, Lebreton M, Worbe Y, Hartmann A, Vidailhet M, Grabli D, Pessiglione M. Dopamine-dependent reinforcement of motor skill learning: evidence from Tourette’s syndrome. Brain (2011).  INSERM press release .

• *Worbe Y, *Palminteri S, Hartmann A, Vidailhet M, Lehéricy S, Pessiglione M. Reinforcement learning and Tourette’ssyndrome: dissociation of clinical phenotypes and pharmacological treatments. Archives of General Psychiatry (2011).

• Schmidt L, Palminteri S, Lafargue G, Pessiglione M. Splitting motivation: unilateral effects of subliminal incentives. Psychological Science  (2010).

• Palminteri S, Boraud T, Lafargue G, Dubois B, Pessiglione M. Brain hemispheres selectively track the expected value of contralateral options. The Journal of Neuroscience (2009).

• Palminteri S, Lebreton M, Worbe Y, Grabli D, Hartmann A, Pessiglione M.  Pharmacological modulation ofsubliminal learning in Parkinson's and Tourette's syndromes. PNAS (2009).

• *Marie-Claire C, *Palminteri S, Romualdi P, Noble F. Effects of the selective neurotensin antagonist SR142948A on 3,4-methylenedioxymethamphetamine-induced behaviours in mice. Neuropharmacology (2008).

• Pessiglione M, Petrovic P, Daunizeau J, Palminteri S, Dolan RJ, Frith CD.  Subliminal instrumental conditioning demonstrated in the human brain. Neuron (2008).

 Book chapters

• Palminteri S, Pessiglione M.  Opponent brain systems for reward and punishment learning: causal evidence from drug and lesion studies in humans. In Decision Neuroscience. Dreher JC and Tremblay L (Eds.). Academic Press (2017).

• Palminteri S, Pessiglione M.  Reinforcement learning and Tourette’s syndrome. In Advances in the Neurochemistry and Neuropharmacology of Tourette syndrome. Martino, D., Cavanna, A., (Eds.). Elsevier (2013).

• Pessiglione M, Schmidt L, Palminteri S, Frith CD. Reward processing and conscious awareness.  In Decision Making, Affect, and Learning. Delgado, M., Phelps, E.A., Robbins, T.W., (Eds.). Oxford University press (2010).