O'Doherty, John

Combined from CaltechAUTHORS

Yi, Sanghyun and O'Doherty, John P. (2026) Computational and neural mechanisms underlying the influence of action affordances on value learning; Nature Communications; Vol. 17; No. 1; 1096; PMCID PMC12852110; 10.1038/s41467-025-67858-3
Wu, Qianying and O'Doherty, John P. (2026) Neural Mechanisms of Reward, Decision-Making, and Learning in a Social Context: Insights from Computational Neuroimaging; ISBN 9783032029249; Neuroeconomics: Core Topics and Current Directions; Neuroeconomics: Core Topics and Current Directions; 83-109; 10.1007/978-3-032-02925-6_6
Aenugu, Sneha and O'Doherty, John P. (2025) Building momentum: A computational account of persistence toward long-term goals; PLOS Computational Biology; Vol. 21; No. 5; e1013054; 10.1371/journal.pcbi.1013054
Iigaya, Kiyohito and Larsen, Tobias, el al. (2025) Computational and neural evidence for altered fast and slow learning from losses in problem gambling; The Journal of Neuroscience; Vol. 45; No. 1; e0080242024; 10.1523/jneurosci.0080-24.2024
Qi, Song and Cross, Logan, el al. (2024) The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety Calculations; Journal of Neuroscience; Vol. 44; No. 34; e1162222024; PMCID PMC11340276; 10.1523/JNEUROSCI.1162-22.2024
Qi, Song and Cross, Logan, el al. (2024) The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety Calculations; Journal of Neuroscience; e1162222024; 10.1523/jneurosci.1162-22.2024
Wu, Qianying and Oh, Sarah, el al. (2024) Individual differences in autism-like traits are associated with reduced goal emulation in a computational model of observational learning; Nature Mental Health; 10.1038/s44220-024-00287-1
Charpentier, Caroline J. and Wu, Qianying, el al. (2024) Heterogeneity in strategy use during arbitration between experiential and observational learning; Nature Communications; Vol. 15; 4436; PMCID PMC11126711; 10.1038/s41467-024-48548-y
Aquino, Tomas G. and Courellis, Hristos, el al. (2024) Encoding of predictive associations in human prefrontal and medial temporal neurons during Pavlovian appetitive conditioning; Journal of Neuroscience; Vol. 44; No. 17; e1628232024; PMCID PMC11044193; 10.1523/JNEUROSCI.1628-23.2024
Man, Vincent and Cockburn, Jeffrey, el al. (2024) Temporally organized representations of reward and risk in the human brain; Nature Communications; Vol. 15; 2162; PMCID PMC10924934; 10.1038/s41467-024-46094-1
Pool, Eva R. and Pauli, Wolfgang M., el al. (2023) Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans; Nature Communications; Vol. 14; 8057; 10.1038/s41467-023-43747-5
van Timmeren, Tim and O'Doherty, John P., el al. (2023) Can the Brain Strategically Go on Automatic Pilot? The Effect of If–Then Planning on Behavioral Flexibility; Journal of Cognitive Neuroscience; Vol. 35; No. 6; 957-975; 10.1162/jocn_a_01990
Aquino, Tomas G. and Cockburn, Jeffrey, el al. (2023) Neurons in human pre-supplementary motor area encode key computations for value-based choice; Nature Human Behaviour; Vol. 7; No. 6; 970-985; PMCID PMC10330469; 10.1038/s41562-023-01548-2
Gera, Rani and Bar Or, Maya, el al. (2023) Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study; NeuroImage; Vol. 272; Art. No. 120002; 10.1016/j.neuroimage.2023.120002
Aquino, Tomas G. and Courellis, Hristos, el al. (2023) Encoding of predictive associations in human prefrontal and medial temporal neurons during Pavlovian conditioning; 10.1101/2023.02.10.528055
Pool, Eva R. and Pauli, Wolfgang M., el al. (2023) Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans; 10.1101/2023.01.26.525637
Iigaya, Kiyohito and Yi, Sanghyun, el al. (2023) Neural mechanisms underlying the hierarchical construction of perceived aesthetic value; Nature Communications; Vol. 14; Art. No. 127; PMCID PMC9873760; 10.1038/s41467-022-35654-y
Gera, Rani and Bar Or, Maya, el al. (2022) Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study; 10.1101/2022.12.12.520188
van Timmeren, Tim and Dzinalija, Nadza, el al. (2022) Can the brain strategically go on automatic pilot? An fMRI study investigating the effect of if-then planning on behavioral flexibility; 10.1101/2022.11.13.516302
Cockburn, Jeffrey and Man, Vincent, el al. (2022) Novelty and uncertainty regulate the balance between exploration and exploitation through distinct mechanisms in the human brain; Neuron; Vol. 110; No. 16; 2691-2702; 10.1016/j.neuron.2022.05.025
Colas, Jaron T. and Dundon, Neil M., el al. (2022) Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T; Human Brain Mapping; 10.1002/hbm.25988
Seok, Darsol and Tadayonnejad, Reza, el al. (2022) Neurocircuit dynamics of arbitration between decision-making strategies across obsessive-compulsive and related disorders; NeuroImage: Clinical; Vol. 35; Art. No. 103073; PMCID PMC9192960; 10.1016/j.nicl.2022.103073
Murray, Stuart B. and Zbozinek, Tomislav D., el al. (2022) Neural, physiological, and psychological markers of appetitive conditioning in anorexia nervosa: a study protocol; Journal of Eating Disorders; Vol. 10; Art. No. 68; PMCID PMC9092702; 10.1186/s40337-022-00546-5
Tadayonnejad, Reza and Majid, DS-Adnan, el al. (2022) Mesolimbic Neurobehavioral Mechanisms of Reward Motivation in Anorexia Nervosa: A Multimodal Imaging Study; Frontiers in Psychiatry; Vol. 13; PMCID PMC8934777; 10.3389/fpsyt.2022.806327
Averbeck, Bruno and O'Doherty, John P. (2022) Reinforcement-learning in fronto-striatal circuits; Neuropsychopharmacology; Vol. 47; No. 1; 147-162; PMCID PMC8616931; 10.1038/s41386-021-01108-0
Pool, Eva R. and Gera, Rani, el al. (2022) Determining the effects of training duration on the behavioral expression of habitual control in humans: a multilaboratory investigation; Learning & Memory; Vol. 29; No. 1; 16-28; PMCID PMC8686594; 10.1101/lm.053413.121
Aquino, Tomas G. and Cockburn, Jeffrey, el al. (2021) Neurons in human pre-supplementary motor area encode key computations for value-based choice; 10.1101/2021.10.27.466000
O'Doherty, John P. and Rutishauser, Ueli, el al. (2021) The hierarchical construction of value; Current Opinion in Behavioral Sciences; Vol. 41; 71-77; PMCID PMC8896512; 10.1016/j.cobeha.2021.03.027
Charpentier, Caroline J. and Faulkner, Paul, el al. (2021) How representative are neuroimaging samples? Large-scale evidence for trait anxiety differences between fMRI and behaviour-only research participants; Social Congnitive and Affective Neuroscience; Vol. 16; No. 10; 1057-1070; PMCID PMC8483285; 10.1093/scan/nsab057
Tadayonnejad, Reza and Pizzagalli, Fabrizio, el al. (2021) White matter tracts characteristics in habitual decision-making circuit underlie ritual behaviors in anorexia nervosa; Scientific Reports; Vol. 11; Art. No. 15980; 10.1038/s41598-021-95300-3
Iigaya, Kiyohito and Yi, Sanghyun, el al. (2021) Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features; Nature Human Behaviour; Vol. 5; No. 6; 743-755; PMCID PMC8494016; 10.1038/s41562-021-01124-6
O'Doherty, John P. and Lee, Sangwan, el al. (2021) Why and how the brain weights contributions from a mixture of experts; Neuroscience and Biobehavioral Reviews; Vol. 123; 14-23; PMCID PMC8040830; 10.1016/j.neubiorev.2020.10.022
Cross, Logan and Cockburn, Jeffrey, el al. (2021) Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments; Neuron; Vol. 109; No. 4; 724-738; PMCID PMC7897245; 10.1016/j.neuron.2020.11.021
Iigaya, Kiyohito and O'Doherty, John P., el al. (2020) Progress and Promise in Neuroaesthetics; Neuron; Vol. 108; No. 4; 594-596; 10.1016/j.neuron.2020.10.022
Iigaya, Kiyohito and Hauser, Tobias U., el al. (2020) The value of what's to come: Neural mechanisms coupling prediction error and the utility of anticipation; Science Advances; Vol. 6; No. 25; Art. No. eaba3828; PMCID PMC7304967; 10.1126/sciadv.aba3828
Aquino, Tomas G. and Minxha, Juri, el al. (2020) Value-related neuronal responses in the human amygdala during observational learning; Journal of Neuroscience; Vol. 40; No. 24; 4761-4772; PMCID PMC7294800; 10.1523/JNEUROSCI.2897-19.2020
Qi, Song and Cross, Logan, el al. (2020) The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety Calculations; 10.1101/2020.06.05.137075
Charpentier, Caroline J. and Iigaya, Kiyohito, el al. (2020) A Neuro-computational Account of Arbitration between Choice Imitation and Goal Emulation during Human Observational Learning; Neuron; Vol. 106; No. 4; 687-699; 10.1016/j.neuron.2020.02.028
Iigaya, Kiyohito and Yi, Sanghyun, el al. (2020) Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain; 10.1101/2020.02.09.940353
Kim, Dongjae and Park, Geon Yeong, el al. (2019) Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning; Nature Communications; Vol. 10; Art. No. 5738; PMCID PMC6915739; 10.1038/s41467-019-13632-1
Charpentier, Caroline C. and Iigaya, Kiyohito, el al. (2019) Neuro-computational account of arbitration between imitation and emulation during human observational learning; 10.1101/828723
Weissengruber, Sebastian and Lee, Sang Wan, el al. (2019) Neurostimulation Reveals Context-Dependent Arbitration Between Model-Based and Model-Free Reinforcement Learning; Cerebral Cortex; Vol. 29; No. 11; 4850-4862; 10.1093/cercor/bhz019
Bossaerts, Peter and Suzuki, Shinsuke, el al. (2019) Perception of intentionality in investor attitudes towards financial risks; Journal of Behavioral and Experimental Finance; Vol. 23; 189-197; 10.1016/j.jbef.2017.12.011
Reiter, Andrea M. F. and Suzuki, Shinsuke, el al. (2019) Risk contagion by peers affects learning and decision-making in adolescents; Journal of Experimental Psychology: General; Vol. 148; No. 9; 1494-1504; 10.1037/xge0000512
Tanaka, Shingo and O'Doherty, John P., el al. (2019) The cost of obtaining rewards enhances the reward prediction error signal of midbrain dopamine neurons; Nature Communications; Vol. 10; Art. No. 3674; PMCID PMC6695452; 10.1038/s41467-019-11334-2
Iigaya, Kiyohito and O'Doherty, John P. (2019) Hippocampus Is What Happens while You're Busy Making Other Plans; Neuron; Vol. 102; No. 3; 517-519; 10.1016/j.neuron.2019.04.027
Iigaya, Kiyohito and Hauser, Tobias U., el al. (2019) Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex; 10.1101/588699
Pauli, Wolfgang M. and Gentile, Giovanni, el al. (2019) Evidence for model-based encoding of Pavlovian contingencies in the human brain; Nature Communications; Vol. 10; Art. No. 1099; PMCID PMC6405831; 10.1038/s41467-019-08922-7
Pool, Eva R. and Pauli, Wolfgang M., el al. (2019) Behavioural evidence for parallel outcome-sensitive and outcome-insensitive Pavlovian learning systems in humans; Nature Human Behaviour; Vol. 3; No. 3; 284-296; PMCID PMC6416744; 10.1038/s41562-018-0527-9
van Well, Sonja and O'Doherty, John P., el al. (2019) Relief from incidental fear evokes exuberant risk taking; PLoS ONE; Vol. 14; No. 1; Art. No. e0211018; PMCID PMC6345498; 10.1371/journal.pone.0211018
Dunne, Simon and Chib, Vikram S., el al. (2019) Reappraisal of Incentives Ameliorates Choking Under Pressure and Is Correlated with Changes in the Neural Representations of Incentives; Social Congnitive and Affective Neuroscience; Vol. 14; No. 1; 13-22; PMCID PMC6318472; 10.1093/scan/nsy108
Charpentier, Caroline Juliette and O'Doherty, John P. (2018) The Application of Computational Models to Social Neuroscience: Promises and Pitfalls; Social Neuroscience; Vol. 13; No. 6; 637-647; PMCID PMC6309617; 10.1080/17470919.2018.1518834
Trapp, Sabrina and O'Doherty, John P., el al. (2018) Stressful Events as Teaching Signals for the Brain; Trends in Cognitive Sciences; Vol. 22; No. 6; 475-478; 10.1016/j.tics.2018.03.007
Wang, Oliver and Lee, Sang Wan, el al. (2018) Model-based and model-free pain avoidance learning; Brain and Neuroscience Advances; Vol. 2; Art. No. 2398212818772964; PMCID PMC6187988; 10.1177/2398212818772964
Chib, Vikram S. and Adachi, Ryo, el al. (2018) Neural substrates of social facilitation effects on incentive-based performance; Social Cognitive and Affective Neuroscience; Vol. 13; No. 4; 391-403; PMCID PMC5928408; 10.1093/scan/nsy024
Pauli, Wolfgang M. and Cockburn, Jeffrey, el al. (2018) Computational approaches to habits in a model-free world; Current Opinion in Behavioral Sciences; Vol. 20; 104-109; 10.1016/j.cobeha.2017.12.001
Suzuki, Shinsuke and Cross, Logan, el al. (2017) Elucidating the underlying components of food valuation in the human orbitofrontal cortex; Nature Neuroscience; Vol. 20; No. 12; 1780-1786; PMCID PMC6214455; 10.1038/s41593-017-0008-x
Collette, Sven and Pauli, Wolfgang M., el al. (2017) Neural computations underlying inverse reinforcement learning in the human brain; eLife; Vol. 6; Art. No. e29718; PMCID PMC5662289; 10.7554/eLife.29718
Colas, Jaron T. and Pauli, Wolfgang M., el al. (2017) Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI; PLOS Computational Biology; Vol. 13; No. 10; Art. No. e1005810; PMCID PMC5673235; 10.1371/journal.pcbi.1005810
Hill, Christopher A. and Suzuki, Shinsuke, el al. (2017) A causal account of the brain network computations underlying strategic social behavior; Nature Neuroscience; Vol. 20; No. 8; 1142-1149; 10.1038/nn.4602
Reber, Justin and Feinstein, Justin S., el al. (2017) Selective impairment of goal-directed decision-making following lesions to the human ventromedial prefrontal cortex; Brain; Vol. 140; No. 6; 1743-1756; PMCID PMC6075075; 10.1093/brain/awx105
O'Doherty, John P. and Cockburn, Jeffrey, el al. (2017) Learning, Reward, and Decision Making; Annual Review of Psychology; Vol. 68; 73-100; PMCID PMC6192677; 10.1146/annurev-psych-010416-044216
Dreher, Jean-Claude and Dunne, Simon, el al. (2016) Testosterone causes both prosocial and antisocial status-enhancing behaviors in human males; Proceedings of the National Academy of Sciences of the United States of America; Vol. 113; No. 41; 11633-11638; PMCID PMC5068300; 10.1073/pnas.1608085113
Friston, Karl and FitzGerald, Thomas, el al. (2016) Active inference and learning; Neuroscience and Biobehavioral Reviews; Vol. 68; 862-879; PMCID PMC5167251; 10.1016/j.neubiorev.2016.06.022
Pauli, Wolfgang M. and O'Doherty, John P. (2016) Dopamine and the Adolescent Brain: Do Errors in Prediction Make the Difference?; Biological Psychiatry; Vol. 79; No. 11; 870-871; 10.1016/j.biopsych.2016.03.2105
Dunne, Simon and D'Souza, Arun, el al. (2016) The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice; Journal of Neurophysiology; Vol. 115; No. 6; 3195-3203; PMCID PMC4920222; 10.1152/jn.00046.2016
Suzuki, Shinsuke and Jensen, Emily L. S., el al. (2016) Behavioral contagion during learning about another agent's risk-preferences acts on the neural representation of decision-risk; Proceedings of the National Academy of Sciences of the United States of America; Vol. 113; No. 14; 3755-3760; PMCID PMC4833238; 10.1073/pnas.1600092113
Wetterling, Friedrich and McCarthy, Hazel, el al. (2015) Impaired reward processing in the human prefrontal cortex distinguishes between persistent and remittent attention deficit hyperactivity disorder; Human Brain Mapping; Vol. 36; No. 11; 4648-4663; 10.1002/hbm.22944
Pauli, Wolfgang M. and Larsen, Tobias, el al. (2015) Distinct Contributions of Ventromedial and Dorsolateral Subregions of the Human Substantia Nigra to Appetitive and Aversive Learning; Journal of Neuroscience; Vol. 35; No. 42; 14220-14233; PMCID PMC4683685; 10.1523/JNEUROSCI.2277-15.2015
Marković, Dimitrije and Gläscher, Jan, el al. (2015) Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism; PLOS Computational Biology; Vol. 11; No. 10; Art. No. e1004558; PMCID PMC4619749; 10.1371/journal.pcbi.1004558
O'Doherty, John P. (2015) Multiple Systems for the Motivational Control of Behavior and Associated Neural Substrates in Humans; ISBN 978-3-319-26933-7; Behavioral Neuroscience of Motivation; 291-312; 10.1007/7854_2015_386
Liljeholm, Mimi and Dunne, Simon, el al. (2015) Differentiating neural systems mediating the acquisition vs. expression of goal-directed and habitual behavioral control; European Journal of Neuroscience; Vol. 41; No. 10; 1358-1371; PMCID PMC4465201; 10.1111/ejn.12897
Lee, Sang Wan and O'Doherty, John P., el al. (2015) Neural Computations Mediating One-Shot Learning in the Human Brain; PLoS Biology; Vol. 13; No. 4; Art. No. e1002137; PMCID PMC4412411; 10.1371/journal.pbio.1002137
Suzuki, Shinsuke and Adachi, Ryo, el al. (2015) Neural Mechanisms Underlying Human Consensus Decision-Making; Neuron; Vol. 86; No. 2; 591-602; PMCID PMC4409560; 10.1016/j.neuron.2015.03.019
McNamee, Daniel and Liljeholm, Mimi, el al. (2015) Characterizing the Associative Content of Brain Structures Involved in Habitual and Goal-Directed Actions in Humans: A Multivariate fMRI Study; Journal of Neuroscience; Vol. 35; No. 9; 3764-3771; PMCID PMC4348182; 10.1523/JNEUROSCI.4677-14.2015
Wessel, Jan R. and O'Doherty, John P., el al. (2014) Stimulus Devaluation Induced by Stopping Action; Journal of Experimental Psychology: General; Vol. 143; No. 6; 2316-2329; PMCID PMC4244281; 10.1037/xge0000022
Chib, Vikram S. and Shimojo, Shinsuke, el al. (2014) The Effects of Incentive Framing on Performance Decrements for Large Monetary Outcomes: Behavioral and Neural Mechanisms; Journal of Neuroscience; Vol. 34; No. 45; 14833-14844; PMCID PMC6608373; 10.1523/JNEUROSCI.1491-14.2014
Larsen, Tobias and O'Doherty, John P. (2014) Uncovering the spatio-temporal dynamics of value-based decision-making in the human brain: a combined fMRI–EEG study; Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences; Vol. 369; No. 1655; Art. No. 20130473; PMCID PMC4186227; 10.1098/rstb.2013.0473
Yücel, M. and Braganza, L., el al. (2014) Similarities and Differences in Reward and Avoidance Learning in OCD and Problem Gamblers; Alcohol and Alcoholism; Vol. 49; No. S1; i32; 10.1093/alcalc/agu052.159
Cooper, Jeffrey C. and Dunne, Simon, el al. (2014) The Role of the Posterior Temporal and Medial Prefrontal Cortices in Mediating Learning from Romantic Interest and Rejection; Cerebral Cortex; Vol. 24; No. 9; 2502-2511; PMCID PMC3820469; 10.1093/cercor/bht102
Liljeholm, Mimi and Dunne, Simon, el al. (2014) Anterior Insula Activity Reflects the Effects of Intentionality on the Anticipation of Aversive Stimulation; Journal of Neuroscience; Vol. 34; No. 34; 11339-11348; PMCID PMC4138342; 10.1523/JNEUROSCI.1126-14.2014
O'Doherty, John P. (2014) The problem with value; Neuroscience and Biobehavioral Reviews; Vol. 43; 259-268; PMCID PMC4332826; 10.1016/j.neubiorev.2014.03.027
Jessup, Ryan K. and O'Doherty, John P. (2014) Distinguishing informational from value-related encoding of rewarding and punishing outcomes in the human brain; European Journal of Neuroscience; Vol. 39; No. 11; 2014-2026; PMCID PMC5551688; 10.1111/ejn.12625
Lee, Sang Wan and Shimojo, Shinsuke, el al. (2014) Neural Computations Underlying Arbitration between Model-Based and Model-free Learning; Neuron; Vol. 81; No. 3; 687-699; PMCID PMC3968946; 10.1016/j.neuron.2013.11.028
Boorman, Erie D. and O'Doherty, John P., el al. (2013) The Behavioral and Neural Mechanisms Underlying the Tracking of Expertise; Neuron; Vol. 80; No. 6; 1558-1571; PMCID PMC3878380; 10.1016/j.neuron.2013.10.024
De Martino, Benedetto and O'Doherty, John P., el al. (2013) In the Mind of the Market: Theory of Mind Biases Value Computation during Financial Bubbles; Neuron; Vol. 79; No. 6; 1222-1231; PMCID PMC3781325; 10.1016/j.neuron.2013.07.003
Liljeholm, Mimi and Wang, Shuo, el al. (2013) Neural Correlates of the Divergence of Instrumental Probability Distributions; Journal of Neuroscience; Vol. 33; No. 30; 12519-12527; PMCID PMC3721851; 10.1523/JNEUROSCI.1353-13.2013
Payzan-LeNestour, Elise and Dunne, Simon, el al. (2013) The Neural Representation of Unexpected Uncertainty during Value-Based Decision Making; Neuron; Vol. 79; No. 1; 191-201; PMCID PMC4885745; 10.1016/j.neuron.2013.04.037
Dunne, Simon and O'Doherty, John P. (2013) Insights from the application of computational neuroimaging to social neuroscience; Current Opinion in Neurobiology; Vol. 23; No. 3; 387-392; PMCID PMC3672247; 10.1016/j.conb.2013.02.007
Lim, Seung-Lark and O'Doherty, John P., el al. (2013) Stimulus Value Signals in Ventromedial PFC Reflect the Integration of Attribute Value Signals Computed in Fusiform Gyrus and Posterior Superior Temporal Gyrus; Journal of Neuroscience; Vol. 33; No. 20; 8729-8741; PMCID PMC3865515; 10.1523/JNEUROSCI.4809-12.2013
McNamee, Daniel and Rangel, Antonio, el al. (2013) Category-dependent and category-independent goal-value codes in human ventromedial prefrontal cortex; Nature Neuroscience; Vol. 16; No. 4; 479-485; PMCID PMC3665508; 10.1038/nn.3337
Prévost, Charlotte and McNamee, Daniel, el al. (2013) Evidence for Model-based Computations in the Human Amygdala during Pavlovian Conditioning; PLoS Computational Biology; Vol. 9; No. 2; Art. No. e1002918; PMCID PMC3578744; 10.1371/journal.pcbi.1002918
Cooper, Jeffrey C. and Dunne, Simon, el al. (2012) Dorsomedial Prefrontal Cortex Mediates Rapid Evaluations Predicting the Outcome of Romantic Interactions; Journal of Neuroscience; Vol. 32; No. 45; 15647-15656; PMCID PMC3513285; 10.1523/JNEUROSCI.2558-12.2012
Dunne, Simon and O'Doherty, John P. (2012) Choosing for Me or Choosing for You: Value in Medial Prefrontal Cortex; Neuron; Vol. 75; No. 6; 942-944; 10.1016/j.neuron.2012.09.005
Liljeholm, Mimi and O'Doherty, John P. (2012) Contributions of the striatum to learning, motivation, and performance: an associative account; Trends in Cognitive Sciences; Vol. 16; No. 9; 467-475; PMCID PMC3449003; 10.1016/j.tics.2012.07.007
Liljeholm, Mimi and Molloy, Clara J., el al. (2012) Dissociable Brain Systems Mediate Vicarious Learning of Stimulus–Response and Action–Outcome Contingencies; Journal of Neuroscience; Vol. 32; No. 29; 9878-9886; PMCID PMC3428877; 10.1523/JNEUROSCI.0548-12.2012
Kovach, Christopher K. and Daw, Nathaniel D., el al. (2012) Anterior Prefrontal Cortex Contributes to Action Selection through Tracking of Recent Reward Trends; Journal of Neuroscience; Vol. 32; No. 25; 8434-8442; PMCID PMC3425366; 10.1523/JNEUROSCI.5468-11.2012
Prévost, Charlotte and Liljeholm, Mimi, el al. (2012) Neural correlates of specific and general Pavlovian-to-Instrumental Transfer within human amygdalar subregions: a high-resolution fMRI study; Journal of Neuroscience; Vol. 32; No. 24; 8383-8390; PMCID PMC6703659; 10.1523/JNEUROSCI.6237-11.2012
Chib, Vikram S. and De Martino, Benedetto, el al. (2012) Neural Mechanisms Underlying Paradoxical Performance for Monetary Incentives Are Driven by Loss Aversion; Neuron; Vol. 74; No. 3; 582-594; PMCID PMC3437564; 10.1016/j.neuron.2012.02.038
O'Doherty, John P. (2012) Beyond simple reinforcement learning: the computational neurobiology of reward-learning and valuation; European Journal of Neuroscience; Vol. 35; No. 7; 987-990; 10.1111/j.1460-9568.2012.08074.x
Liljeholm, Mimi and O'Doherty, John P. (2012) Anything You Can Do, You Can Do Better: Neural Substrates of Incentive-Based Performance Enhancement; PLoS Biology; Vol. 10; No. 2; e1001272; PMCID PMC3283544; 10.1371/journal.pbio.1001272
Niv, Yael and Edlund, Jeffrey A., el al. (2012) Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain; Journal of Neuroscience; Vol. 32; No. 2; 551-562; PMCID PMC6621075; 10.1523/JNEUROSCI.5498-10.2012
Cooper, Jeffrey C. and Dunne, Simon, el al. (2012) Human Dorsal Striatum Encodes Prediction Errors during Observational Learning of Instrumental Actions; Journal of Cognitive Neuroscience; Vol. 24; No. 1; 106-118; PMCID PMC3576883; 10.1162/jocn_a_00114
O'Doherty, John P. (2011) Contributions of the ventromedial prefrontal cortex to goal-directed action selection; Annals of the New York Academy of Sciences; Vol. 1239; 118-129; 10.1111/j.1749-6632.2011.06290.x
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