Stefano Palminteri

发表

Computational noise in reward-guided learning drives behavioral variability in volatile environments

V. Wyart, Charles Findling, Vasilisa Skvortsova, 2019, Nature Neuroscience.

Choosing and learning: outcome valence differentially affects learning from free versus forced choices

P. Haggard, Stefano Palminteri, V. Chambon, 2019, bioRxiv.

Valence-dependent influence of serotonin depletion on model-based choice strategy

N. Daw, T. Robbins, Y. Worbe, 2015, Molecular Psychiatry.

Critical Roles for Anterior Insula and Dorsal Striatum in Punishment-Based Avoidance Learning

M. Pessiglione, L. Capelle, C. Karachi, 2012, Neuron.

Learning To Minimize Efforts versus Maximizing Rewards: Computational Principles and Neural Correlates

M. Pessiglione, Vasilisa Skvortsova, Stefano Palminteri, 2014, The Journal of Neuroscience.

Behavioural and neural characterization of optimistic reinforcement learning

M. Lebreton, Florent Meyniel, G. Lefebvre, 2017, Nature Human Behaviour.

The Importance of Falsification in Computational Cognitive Modeling

E. Koechlin, V. Wyart, Stefano Palminteri, 2017, Trends in Cognitive Sciences.

Assessing inter-individual differences with task-related functional neuroimaging

J. Daunizeau, M. Lebreton, Stefano Palminteri, 2019, Nature Human Behaviour.

Brain Hemispheres Selectively Track the Expected Value of Contralateral Options

M. Pessiglione, T. Boraud, Stefano Palminteri, 2009, The Journal of Neuroscience.

Opponent Brain Systems for Reward and Punishment Learning: Causal Evidence From Drug and Lesion Studies in Humans

Mathias Pessiglione, Stefano Palminteri, M. Pessiglione, 2017 .

Reinforcement learning and Tourette syndrome.

M. Pessiglione, Stefano Palminteri, 2013, International review of neurobiology.

Pharmacological modulation of subliminal learning in Parkinson's and Tourette's syndromes

M. Pessiglione, M. Lebreton, Y. Worbe, 2009, Proceedings of the National Academy of Sciences.

Social information impairs reward learning in depressive subjects: behavioral and computational characterization

L. Safra, Stefano Palminteri, C. Chevallier, 2018, bioRxiv.

How the Level of Reward Awareness Changes the Computational and Electrophysiological Signatures of Reinforcement Learning

Michael X. Cohen, M. Lebreton, Simon van Gaal, 2018, The Journal of Neuroscience.

Valence biases factual and counterfactual learning in opposite directions

Emma J. Kilford, S. Blakemore, G. Lefebvre, 2017, bioRxiv.

Subliminal Instrumental Conditioning Demonstrated in the Human Brain

R. Dolan, J. Daunizeau, C. Frith, 2008, Neuron.

Fluctuations in the homeostatic neural circuitry influence consistency in choices between cultural goods

C. Tallon-Baudry, Stefano Palminteri, D. Azzalini, 2019, bioRxiv.

Computational noise in reward-guided learning drives behavioral variability in volatile environments

V. Wyart, Charles Findling, Vasilisa Skvortsova, 2018, Nature Neuroscience.

Information about action outcomes differentially affects learning from self-determined versus imposed choices

P. Haggard, Stefano Palminteri, V. Chambon, 2020, Nature Human Behaviour.

Decision Neuroscience: An Integrative Perspective

M. Pessiglione, Stefano Palminteri, 2016 .

Robust valence-induced biases on motor response and confidence in human reinforcement learning

M. Lebreton, J. Engelmann, Stefano Palminteri, 2020, Cognitive, Affective, & Behavioral Neuroscience.

Contextual influence on confidence judgments in human reinforcement learning

M. Lebreton, J. Engelmann, Stefano Palminteri, 2018, bioRxiv.

Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm

G. Lefebvre, Stefano Palminteri, S. Bourgeois-Gironde, 2018, Proceedings of the National Academy of Sciences.

Confidence and psychosis: a neuro-computational account of contingency learning disruption by NMDA blockade

M. Pessiglione, F. Vinckier, A. Fornito, 2015, Molecular Psychiatry.

Dopamine-dependent reinforcement of motor skill learning: evidence from Gilles de la Tourette syndrome.

M. Pessiglione, M. Lebreton, S. Lehéricy, 2011, Brain : a journal of neurology.

The actions of others act as a pseudo-reward to drive imitation in the context of social reinforcement learning

B. Bahrami, Stefano Palminteri, Anis Najar, 2020, PLoS biology.

Contextual modulation of value signals in reward and punishment learning

M. Khamassi, Stefano Palminteri, G. Coricelli, 2015, Nature Communications.

Splitting Motivation

Mathias Pessiglione, Stefano Palminteri, M. Pessiglione, 2010, Psychological science.

Neural computations underpinning the strategic management of influence in advice giving

C. Frith, B. Bahrami, Uri Hertz, 2017, bioRxiv.

Trading off the cost of conflict against expected rewards

Stefano Palminteri, V. Chambon, Nura Sidarus, 2018, bioRxiv.

Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: a meta-analytical approach using diffusion decision modeling

Stefano Palminteri, Laura Fontanesi, Maël Lebreton, 2018, Cognitive, Affective, & Behavioral Neuroscience.

The role of the striatum in linguistic selection: Evidence from Huntington's disease and computational modeling

Stefano Palminteri, S. Peperkamp, P. Brugières, 2018, Cortex.

Assessing Inter-individual Variability in Brain-behavior Relationship Assessing Inter-individual Variability in Brain-behavior Relationship with Functional Neuroimaging

M. Lebreton, Stefano Palminteri, 2022 .

Stock market microstructure inference via multi-agent reinforcement learning

B. Gutkin, Stefano Palminteri, S. Bourgeois-Gironde, 2019, 1909.07748.

Reinforcement learning and Gilles de la Tourette syndrome: dissociation of clinical phenotypes and pharmacological treatments.

M. Pessiglione, S. Lehéricy, M. Vidailhet, 2011, Archives of general psychiatry.

C. Tallon-Baudry, Stefano Palminteri, D. Azzalini, 2020 .

Responses to Heartbeats in Ventromedial Prefrontal Cortex Contribute to Subjective Preference-Based Decisions

C. Tallon-Baudry, Stefano Palminteri, D. Azzalini, 2021, The Journal of Neuroscience.

Robust Pavlovian-to-Instrumental and Pavlovian-to-Metacognitive Transfers in human reinforcement learning

M. Lebreton, J. Engelmann, Stefano Palminteri, 2020 .

Decreased confidence in loss-avoidance contexts is a primary meta-cognitive bias of human reinforcement learning

M. Lebreton, J. Engelmann, Stefano Palminteri, 2019, bioRxiv.

Temporal chunking as a mechanism for unsupervised learning of task-sets

Stefano Palminteri, Etienne Koechlin, Flora Bouchacourt, 2019, bioRxiv.

Robust Pavlovian-to-Instrumental and Pavlovian-to-Metacognitive Transfers in human reinforcement learning

J. Engelmann, Stefano Palminteri, Chih-Chung Ting, 2020 .

Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome

T. Robbins, Y. Worbe, A. Hartmann, 2016, bioRxiv.

The functional form of value normalization in human reinforcement learning

Stefano Palminteri, Sophie Bavard, 2022, bioRxiv.

Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias?

Stefano Palminteri, Henri Vandendriessche, Sophie Bavard, 2022, Psychological Medicine.

Decision-making under risk and ambiguity in adults with Tourette syndrome

M. Lebreton, Y. Worbe, Stefano Palminteri, 2022, Psychological Medicine.

Context-dependent reinforcement learning impairment in depression

Stefano Palminteri, Henri Vandendriessche, Sophie Bavard, 2021 .

Stock price formation: useful insights from a multi-agent reinforcement learning model

B. Gutkin, Stefano Palminteri, S. Bourgeois-Gironde, 2019, 1910.05137.

Confirmatory reinforcement learning changes with age during adolescence.

Emma J. Kilford, S. Blakemore, Stefano Palminteri, 2022, Developmental science.

M. Pessiglione, L. Mallet, Stefano Palminteri, 2012, Biological Psychiatry.

Specific effect of dopamine partial agonist on counterfactual learning: evidence

T. Robbins, Y. Worbe, A. Hartmann, 2016 .

Title : Specific effect of dopamine partial agonist on counterfactual learning : evidence from Gilles de la Tourette syndrome

T. Robbins, Y. Worbe, A. Hartmann, 2016 .

Modelling Stock Markets by Multi-agent Reinforcement Learning

B. Gutkin, Stefano Palminteri, S. Bourgeois-Gironde, 2020, Computational Economics.

Temporal chunking as a mechanism for unsupervised learning of task-sets

Stefano Palminteri, Etienne Koechlin, Flora Bouchacourt, 2019, bioRxiv.

The interoceptive self contributes to preference stability

C. Tallon-Baudry, Stefano Palminteri, D. Azzalini, 2020 .

Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: a meta-analytical approach using diffusion decision modeling

M. Lebreton, Stefano Palminteri, Laura Fontanesi, 2019, Cognitive, Affective, & Behavioral Neuroscience.

Computational cognitive neuroscience : what is a good model of brain processes ?

Stefano Palminteri, Valentin Wyart, Etienne Koechlin, 2016 .

Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing

Stefano Palminteri, Sarah-Jayne Blakemore, Emma J. Kilford, 2016, PLoS Comput. Biol..

The Computational Development of Reinforcement Learning during Adolescence

Stefano Palminteri, Giorgio Coricelli, Sarah-Jayne Blakemore, 2016, PLoS Comput. Biol..

Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model

B. Gutkin, Stefano Palminteri, S. Bourgeois-Gironde, 2022, Computational Economics.

Modelling Stock Markets by Multi-agent Reinforcement Learning

Stefano Palminteri, Boris Gutkin, Sacha Bourgeois-Gironde, 2020, Computational Economics.

Multi-agent reinforcement learning for market microstructure statistical inference

Stefano Palminteri, Boris Gutkin, Sacha Bourgeois-Gironde, 2019 .

Enhanced habit formation in Gilles de la Tourette syndrome.

T. Robbins, M. Vidailhet, Y. Worbe, 2016, Brain : a journal of neurology.

Context-dependent outcome encoding in human reinforcement learning

M. Lebreton, Stefano Palminteri, 2021, Current Opinion in Behavioral Sciences.

Cost-benefit trade-offs in decision-making and learning

Stefano Palminteri, Nura Sidarus, Valérian Chambon, 2019, PLoS Comput. Biol..

The Effect of Counterfactual Information on Outcome Value Coding in Medial Prefrontal and Cingulate Cortex: From an Absolute to a Relative Neural Code

Stefano Palminteri, Giorgio Coricelli, Doris Pischedda, 2020, The Journal of Neuroscience.

How the Level of Reward Awareness Changes the Computational and Electrophysiological Signatures of Reinforcement Learning

Michael X. Cohen, M. Lebreton, Stefano Palminteri, 2018, The Journal of Neuroscience.

The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty

Stefano Palminteri, Basile Garcia, Fabien Cerrotti, 2021, Philosophical Transactions of the Royal Society B.

Imitation as a model-free process in human reinforcement learning

Bahador Bahrami, Anis Najar, Stefano Palminteri, 2019, bioRxiv.

Depressive symptoms are associated with blunted reward learning in social contexts

Lou Safra, Stefano Palminteri, Coralie Chevallier, 2019, PLoS Comput. Biol..

Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwide

B. Bahrami, Uri Hertz, Stefano Palminteri, 2023, Research square.

Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome

T. Robbins, Y. Worbe, A. Hartmann, 2016, bioRxiv.

When are inter-individual brain-behavior correlations informative?

Stefano Palminteri, Maël Lebreton, M. Lebreton, 2016, bioRxiv.

Revisiting the assessment of inter-individual differences in fMRI activations-behavior relationships.

M. Lebreton, Stefano Palminteri, 2016 .

Reward processing and conscious awareness

C. Frith, M. Pessiglione, L. Schmidt, 2011 .

Choice-confirmation bias in reinforcement learning changes with age during adolescence

Emma J. Kilford, S. Blakemore, Stefano Palminteri, 2021 .

Neural computations underpinning the strategic management of influence in advice giving

C. Frith, B. Bahrami, Uri Hertz, 2017, bioRxiv.

Neural computations underpinning the strategic management of influence in advice giving

B. Bahrami, Uri Hertz, ChrisD . Frith, 2017, Nature Communications.

Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences

Mehdi Khamassi, Stefano Palminteri, Giorgio Coricelli, 2018, Nature Communications.

Neural and computational underpinnings of biased confidence in human reinforcement learning

M. Lebreton, J. Engelmann, Stefano Palminteri, 2023, bioRxiv.

The computational roots of positivity and confirmation biases in reinforcement learning

M. Lebreton, Stefano Palminteri, 2022, Trends in Cognitive Sciences.

The elusive effects of incidental anxiety on reinforcement-learning.

M. Lebreton, J. Engelmann, Stefano Palminteri, 2021, Journal of experimental psychology. Learning, memory, and cognition.

Can We Infer Inter-Individual Differences in Risk-Taking From Behavioral Tasks?

Stefano Palminteri, C. Chevallier, 2018, Front. Psychol..

Effects of the selective neurotensin antagonist SR 142948A on 3,4-methylenedioxymethamphetamine-induced behaviours in mice

Stefano Palminteri, F. Noble, C. Marie-Claire, 2008, Neuropharmacology.

Two sides of the same coin: Beneficial and detrimental consequences of range adaptation in human reinforcement learning

A. Rustichini, Stefano Palminteri, Sophie Bavard, 2021, Science Advances.

The construction and deconstruction of sub-optimal preferences through range-adapting reinforcement learning

A. Rustichini, Stefano Palminteri, Sophie Bavard, 2020, bioRxiv.

A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning

M. Pessiglione, Vasilisa Skvortsova, Stefano Palminteri, 2020, Current Biology.

Hemispheric dissociation of reward processing in humans: Insights from deep brain stimulation

Mathias Pessiglione, Stefano Palminteri, Anne Buot, 2013, Cortex.

Experiential values are underweighted in decisions involving symbolic options

M. Lebreton, Stefano Palminteri, S. Bourgeois-Gironde, 2023, Nature Human Behaviour.

The role of the thalamus in human reinforcement learning

J. Bastin, Stefano Palminteri, A. Collomb-Clerc, 2022, bioRxiv.

Objective models of subjective feelings

Stefano Palminteri, Romane Cecchi, 2023, Neuroscience & Biobehavioral Reviews.

Optimistic reinforcement learning: computational and neural bases

M. Lebreton, Florent Meyniel, G. Lefebvre, 2016, bioRxiv.

A Probe-Based qPCR Method, Targeting 16S rRNA Gene, for the Quantification of Paenibacillus larvae Spores in Powdered Sugar Samples

Stefano Palminteri, G. Galletti, E. Carra, 2022, Applied Sciences.

Powdered Sugar Examination as a Tool for the Assessment of Paenibacillus larvae Infection Levels in Honey Bee Colonies

Stefano Palminteri, G. Galletti, E. Carra, 2022, Frontiers in Veterinary Science.

Assembling hierarchies of action using sequencing and abstraction: studies and models of zero-shot learning

P. Haggard, Stefano Palminteri, Gwydion Williams, 2022 .

Asymmetric reinforcement learning: computational and neural bases of positive life orientation

M. Lebreton, Florent Meyniel, G. Lefebvre, 2016 .

Information about action outcomes differentially affects learning from self-determined versus imposed choices

P. Haggard, Stefano Palminteri, V. Chambon, 2020, Nature Human Behaviour.

The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty

Stefano Palminteri, Basile Garcia, Fabien Cerrotti, 2020, Philosophical Transactions of the Royal Society B.

The elusive effects of incidental anxiety on reinforcement-learning.

M. Lebreton, J. Engelmann, Stefano Palminteri, 2020, Journal of experimental psychology. Learning, memory, and cognition.

Assessing Inter-individual Variability in Brain-behavior Relationship Revisiting the Assessment of Inter-individual Differences in Fmri Activations-behavior Relationships

M. Lebreton, Stefano Palminteri, 2022 .

Computational cognitive neuroscience: Model fitting should not replace model simulation

Stefano Palminteri, Valentin Wyart, Etienne Koechlin, 2016, bioRxiv.

Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning

L. Minotti, Stefano Palminteri, A. Collomb-Clerc, 2023, Nature communications.

Optimistic reinforcement learning: computational and neural bases

M. Lebreton, Florent Meyniel, G. Lefebvre, 2016, bioRxiv.

Aberrant Striatal Value Representation in Huntington's Disease Gene Carriers 25 Years Before Onset

G. Rees, S. Tabrizi, R. Scahill, 2021, Biological psychiatry. Cognitive neuroscience and neuroimaging.