O'Doherty, John P.

Combined from CaltechAUTHORS

• Man, Vincent and Cockburn, Jeffrey, et el. (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., et el. (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
• Aquino, Tomas G. and Cockburn, Jeffrey, et el. (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
• van Timmeren, Tim and O'Doherty, John P., et el. (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
• Gera, Rani and Bar Or, Maya, et el. (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, et el. (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., et el. (2023) Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans; 10.1101/2023.01.26.525637
• van Timmeren, Tim and Dzinalija, Nadza, et el. (2023) 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
• Gera, Rani and Bar Or, Maya, et el. (2023) Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study; 10.1101/2022.12.12.520188
• Iigaya, Kiyohito and Yi, Sanghyun, et el. (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
• Cockburn, Jeffrey and Man, Vincent, et el. (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., et el. (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, et el. (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., et el. (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, et el. (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
• Pool, Eva R. and Gera, Rani, et el. (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
• 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
• Aquino, Tomas G. and Cockburn, Jeffrey, et el. (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, et el. (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, et el. (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, et el. (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, et el. (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, et el. (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, et el. (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., et el. (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., et el. (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
• Qi, Song and Cross, Logan, et el. (2020) The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety Calculations; 10.1101/2020.06.05.137075
• Aquino, Tomas G. and Minxha, Juri, et el. (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
• Charpentier, Caroline J. and Iigaya, Kiyohito, et el. (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, et el. (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, et el. (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, et el. (2019) Neuro-computational account of arbitration between imitation and emulation during human observational learning; 10.1101/828723
• Weissengruber, Sebastian and Lee, Sang Wan, et el. (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
• Reiter, Andrea M. F. and Suzuki, Shinsuke, et el. (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
• Bossaerts, Peter and Suzuki, Shinsuke, et el. (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
• Tanaka, Shingo and O'Doherty, John P., et el. (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., et el. (2019) Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex; 10.1101/588699
• Pauli, Wolfgang M. and Gentile, Giovanni, et el. (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., et el. (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., et el. (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., et el. (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., et el. (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, et el. (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, et el. (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, et el. (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, et el. (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., et el. (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., et el. (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, et el. (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., et el. (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, et el. (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, et el. (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, et el. (2016) Active inference and learning; Neuroscience and Biobehavioral Reviews; Vol. 68; 862-879; PMCID PMC5167251; 10.1016/j.neubiorev.2016.06.022
• Dunne, Simon and D'Souza, Arun, et el. (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
• 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
• Suzuki, Shinsuke and Jensen, Emily L. S., et el. (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, et el. (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, et el. (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, et el. (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, et el. (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., et el. (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, et el. (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, et el. (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., et el. (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, et el. (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., et el. (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, et el. (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, et el. (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
• 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
• 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
• Lee, Sang Wan and Shimojo, Shinsuke, et el. (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., et el. (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., et el. (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, et el. (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, et el. (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., et el. (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, et el. (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, et el. (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, et el. (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., et el. (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., et el. (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, et el. (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, et el. (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., et el. (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, et el. (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
• Hare, Todd A. and Schultz, Wolfram, et el. (2011) Transformation of stimulus value signals into motor commands during simple choice; Proceedings of the National Academy of Sciences of the United States of America; Vol. 108; No. 44; 18120-18125; PMCID PMC3207676; 10.1073/pnas.1109322108
• Lim, Seung-Lark and O'Doherty, John P., et el. (2011) The Decision Value Computations in the vmPFC and Striatum Use a Relative Value Code That is Guided by Visual Attention; Journal of Neuroscience; Vol. 31; No. 37; 13214-13223; PMCID PMC6623246; 10.1523/JNEUROSCI.1246-11.2011
• Wunderlich, Klaus and Beierholm, Ulrik R., et el. (2011) The human prefrontal cortex mediates integration of potential causes behind observed outcomes; Journal of Neurophysiology; Vol. 106; No. 3; 1558-1569; PMCID PMC3174823; 10.1152/jn.01051.2010
• Prévost, Charlotte and McCabe, Jonathan A., et el. (2011) Differentiable contributions of human amygdalar subregions in the computations underlying reward and avoidance learning; European Journal of Neuroscience; Vol. 34; No. 1; 134-145; 10.1111/j.1460-9568.2011.07686.x
• Jessup, Ryan K. and O'Doherty, John P. (2011) Human Dorsal Striatal Activity during Choice Discriminates Reinforcement Learning Behavior from the Gambler's Fallacy; Journal of Neuroscience; Vol. 31; No. 17; 6296-6304; PMCID PMC6622656; 10.1523/JNEUROSCI.6421-10.2011
• Kim, Hackjin and Shimojo, Shinsuke, et el. (2011) Overlapping Responses for the Expectation of Juice and Money Rewards in Human Ventromedial Prefrontal Cortex; Cerebral Cortex; Vol. 21; No. 4; 769-776; 10.1093/cercor/bhq145
• Liljeholm, Mimi and Tricomi, Elizabeth, et el. (2011) Neural Correlates of Instrumental Contingency Learning: Differential Effects of Action–Reward Conjunction and Disjunction; Journal of Neuroscience; Vol. 31; No. 7; 2474-2480; PMCID PMC3269757; 10.1523/JNEUROSCI.3354-10.2011
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• Plassmann, Hilke and O'Doherty, John P., et el. (2010) Appetitive and Aversive Goal Values Are Encoded in the Medial Orbitofrontal Cortex at the Time of Decision Making; Journal of Neuroscience; Vol. 30; No. 32; 10799-10808; PMCID PMC6634706; 10.1523/JNEUROSCI.0788-10.2010
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