A computational and neural model of momentary subjective well-being

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Reinforcement Learning: An Introduction

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Happiness: Lessons from a New Science

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Life satisfaction and happiness in patients shielding from the COVID-19 global pandemic: A randomised controlled study of the ‘mood as information’ theory

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Family Companionship and Elderly Suicide: Evidence from the Chinese Lunar New Year

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A Standard Framework for Social Cognition: interoperable algorithms for inference and representationPreprint

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Reliability of gamified reinforcement learning in densely sampled longitudinal assessments

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No unified reward prediction error in local field potentials from the human nucleus accumbens: evidence from epilepsy patients

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Depression Symptoms Mediate Mismatch Between Perceived Severity of the COVID-19 Pandemic and Preventive Motives

Park, J., Lee, S., Sul, S., & Chung, D. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.650042 · Cited by 9

Self-esteem depends on beliefs about the rate of change of social approval

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The continuous and changing impact of affect on risky decision-making

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A Definition of Happiness for Reinforcement Learning Agents

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SSRIs modulate asymmetric learning from reward and punishmentPreprint

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Mood and implicit confidence independently fluctuate at different time scales

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The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial

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Self-views converge during enjoyable conversations

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Happiness as an intrinsic motivator in reinforcement learning

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Current Mood vs. Recalled Impacts of Current Moods after Exposures to Sequences of Uncertain Monetary Outcomes

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Computationally-defined markers of uncertainty aversion predict emotional responses during a global pandemic

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Beyond Belief Updating: A Framework for Self-Belief FormationPreprint

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Relevance of state–behaviour feedbacks for animal welfare

Montalcini, C. M., Driver, C., & Mendl, M. (2025) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.70016 · Cited by 7

Autonomy recruits neural support for interest and learning

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The challenges of forecasting resilience

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The Effects of Affective Expectations on Experience in Individuals Varying in Anhedonia

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From tripping and falling to ruminating and worrying: a meta-control account of repetitive negative thinking

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Maternal Depression and Mother-Child Oxytocin Synchrony in Youth with Anxiety Disorders

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Using Primary Reinforcement to Enhance Translatability of a Human Affect and Decision-Making Judgment Bias Task

Neville, V., Dayan, P., Gilchrist, I. D., Paul, E. S., & Mendl, M. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01776 · Cited by 8

Negative Affect Induces Rapid Learning of Counterfactual Representations: A Model-based Facial Expression Analysis ApproachPreprint

Haines, N., Rass, O., Shin, Y., Brown, J. W., & Ahn, W. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/560011 · Cited by 7

Neural signatures of risk-taking adaptions across health, bipolar disorder, and lithium treatment

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Building momentum: A computational account of persistence toward long-term goals

Aenugu, S., & O’Doherty, J. P. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013054 · Cited by 7

Temporal dynamics of the semantic versus affective representations of valence during reversal learning

Heimer, O., Kron, A., & Hertz, U. (2023) · Cognition · doi:10.1016/j.cognition.2023.105423 · Cited by 5

Subjective Well-Being and Bilateral Anterior Insula Functional Connectivity After Exercise Intervention in Older Adults With Mild Cognitive Impairment

Won, J., Nielson, K. A., & Smith, J. C. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.834816 · Cited by 6

The affective response to positive performance feedback is associated with motor learning

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The role of affective states in computational psychiatry

Benrimoh, D. A., Smith, R. S., Diaconescu, A. O., Friesen, T., Jalali, S., Mikuš, N., Gschwandtner, L. P., Gandhi, J., Horga, G., & Powers, A. R. (2025) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyaf049 · Cited by 7

Cognitive modeling of real-world behavior for understanding mental health

Mirea, D.-M., Nook, E. C., & Niv, Y. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.07.009 · Cited by 11

Misperceiving Momentum: Computational Mechanisms of Biased Striatal Reward Prediction Errors in Bipolar Disorder

Moningka, H., El‐Deredy, W., Bentall, R. P., & Mason, L. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100330 · Cited by 5

Hazardous gambling behavior is associated with amplified emotional reactivity to gambling outcomes

Cholewick, A., & Bennett, D. (2025) · Journal of Behavioral Addictions · doi:10.1556/2006.2025.00003 · Cited by 5

How mood-related physiological states bias economic decisions

Heerema, R., & Pessiglione, M. (2025) · Communications Psychology · doi:10.1038/s44271-025-00241-6 · Cited by 8

AI welfare risks

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How a token-based game may elicit the reward prediction error and increase engagement of students in elementary school. A pilot study

Eckert, M., Scherenberg, V., & Klinke, C. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1077406 · Cited by 9

A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals

Neville, V., Mendl, M., Paul, E. S., Seriès, P., & Dayan, P. (2023) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01137-w · Cited by 5

Neural asymmetry in aligning with generous versus selfish descriptive norms in a charitable donation task

Díaz-Gutiérrez, P., Boone, C., Vyas, H. G., & Declerck, C. H. (2024) · Scientific Reports · doi:10.1038/s41598-024-55688-0 · Cited by 6

Declining human fertility and the epidemic of despair

Platt, M. L., & Sterling, P. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00241-1 · Cited by 6

Characterizing the dynamics, reactivity and controllability of moods in depression with a Kalman filter

Malamud, J., Gülöksüz, S., van Winkel, R., Delespaul, P., Binder, M. D., Derom, C. A., Thiery, E. W., Jacobs, N., Rutten, B. P. F., & Huys, Q. J. M. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012457 · Cited by 8

Expectations, realizations, and approval of tablet computers in an educational setting

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Oxytocin alters the effect of payoff but not base rate in emotion perception

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The paradoxical association between tension-reduction alcohol outcome expectancies and tension following alcohol consumption

Abrams, K. B., Mei, L., Chen, C. S., Koele, E., Kwan, J., Montes, Z., van Ginkel, M., & Zhou, H. (2021) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2021.1992772 · Cited by 5

A computational model for learning from repeated traumatic experiences under uncertainty

Kaye, A. P., Rao, M. G., Kwan, A. C., Ressler, K. J., & Krystal, J. H. (2023) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01085-5 · Cited by 5

A Dynamic Affective Core to bind the Contents, Context, and Value of Conscious ExperiencePreprint

Kishida, K. T., & Sands, L. P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.20.444839 · Cited by 5

Computational Psychiatry

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A cognitive-computational account of mood swings in adolescencePreprint

Gregorová, K., Eldar, E., Deserno, L., & Reiter, A. M. F. (2022) · doi:10.31234/osf.io/u62vr · Cited by 5

Signatures of Reinforcement Learning in Natural Behavior

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Affective valence does not reflect progress prediction errors in perceptual decisions

Voodla, A., Uusberg, A., & Desender, K. (2024) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-023-01147-8 · Cited by 3

Advanced mood tracking using waveform statistical signal processing techniques

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Surprising sounds influence risky decision making

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Experience and advice consequences shape information sharing strategies

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Cultural effects on computational metrics of spatial and temporal context

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The Relationship Between Unexpected Outcomes and Lottery Gambling Rates in a Large Canadian Metropolitan Area

Fu, H., Monson, E., & Otto, R. (2021) · Critical Gambling Studies · doi:10.29173/cgs28 · Cited by 3

The goal-relevance of affective stimuli is dynamically represented in affective experience

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Intracranial subsecond dopamine measurements during a “sure bet or gamble” decision-making task in patients with alcohol use disorder suggest diminished dopaminergic signals about relief

Liebenow, B., Jiang, A., DiMarco, E. K., Wilson, T., Siddiqui, M., Haq, I. U., Laxton, A. W., Tatter, S. B., & Kishida, K. T. (2023) · Neurosurgical FOCUS · doi:10.3171/2022.11.focus22614 · Cited by 4

Multiple timescales of temporal context in risky choice: Behavioral identification and relationships to physiological arousal

Brooks, H. R., & Sokol‐Hessner, P. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296681 · Cited by 4

Quantifying the heritability of belief formation

Vellani, V., Garrett, N., Gaule, A., Patil, K. R., & Sharot, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-15492-0 · Cited by 3

Théorie multidimensionnelle et computationnelle de l’humeur

Bottemanne, H., Barberousse, A., & Fossati, P. (2022) · L Encéphale · doi:10.1016/j.encep.2022.02.002 · Cited by 9

Affective prediction errors in the persistence and escalation of aggressionPreprint

Vollberg, M. C., & Cikara, M. (2022) · doi:10.31234/osf.io/59k3c · Cited by 4

Valence-partitioned learning signals drive choice behavior and phenomenal subjective experience in humansPreprint

Sands, L. P., Jiang, A., Jones, R., Trattner, J. D., & Kishida, K. T. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.17.533213 · Cited by 5

Depression is associated with higher sensitivity to social media rewardsPreprint

Mirea, D.-M., Mildner, J. N., Kelley, S., Gillan, C. M., Nook, E. C., & Niv, Y. (2024) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/4ynbc · Cited by 7

Chasing emotional losses: Negative subjective affect is linked to increased risk-seeking behavior both within and between individuals

Bennett, D., Fulton, A., & Forbes, L. (2024) · Judgment and Decision Making · doi:10.1017/jdm.2024.29 · Cited by 3

People accurately predict the shape but not the parameters of skill learning curves

Zhang, X., McDougle, S. D., & Leonard, J. (2025) · Cognition · doi:10.1016/j.cognition.2025.106083 · Cited by 3

Neural representation of the decisional reference point in monkeys

Nguyen, D., Rich, E. L., Wallis, J. D., Louie, K., & Glimcher, P. W. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2514110122 · Cited by 2

Happiness, Cerebroscopes and Incorrigibility: Prospects for Neuroeudaimonia

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Task-level value affects trial-level reward processing

Hassall, C. D., Hunt, L. T., & Holroyd, C. B. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119456 · Cited by 3

Dynamic expectations: Behavioral and electrophysiological evidence of sub-second updates in reward predictions

Marciano, D., Bellier, L., Mayer, I., Ruvalcaba, M., Lee, S., Hsu, M., & Knight, R. T. (2023) · Communications Biology · doi:10.1038/s42003-023-05199-x · Cited by 2

Intraindividual Fluctuation in Optimism Under Daily Life Circumstances: A Longitudinal Study

Shimomura, K., Morita, K., Nishiguchi, Y., Huffman, J. C., & Millstein, R. A. (2023) · Affective Science · doi:10.1007/s42761-023-00224-y · Cited by 3

How do emotions respond to outcome values and influence choice?

Grimani, A., Yemiscigil, A., Wang, Q., Kirilov, G., Kudrna, L., & Vlaev, I. (2024) · Psychological Research · doi:10.1007/s00426-024-02001-3 · Cited by 10

Decision-Making with Predictions of Others’ Likely and Unlikely Choices in the Human Brain

Ma, N., Harasawa, N., Ueno, K., Cheng, K., & Nakahara, H. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.2236-23.2024 · Cited by 3

The Motivational Cost of Inequality: Pay Gaps Reduce the Willingness to Pursue Rewards

Gęsiarz, F., Jan-emmanuel De Neve, A., & Sharot, T. (2019) · PLoS ONE · doi:10.1371/journal.pone.0237914 · Cited by 5

A computational model for learning from repeated traumaPreprint

Kaye, A. P., Kwan, A. C., Ressler, K. J., & Krystal, J. H. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/659425 · Cited by 3

Measuring self-regulation in everyday life: reliability and validity of smartphone-based experiments in alcohol use disorderPreprint

Zech, H., Waltmann, M., Lee, Y., Reichert, M., Bedder, R. L., Rutledge, R. B., Deeken, F., Wenzel, J. G., Wedemeyer, F., Aguilera, A., et al. (2022) · doi:10.31234/osf.io/6mhsw · Cited by 3

Notable Advances in the Science of Well‐Being

Kansky, J., & Diener, E. (2022) · Wiley eBooks · doi:10.1002/9781119771418.ch4 · Cited by 3

Activity in human dorsal raphe nucleus signals changes in behavioural policy

Priestley, L., Mahmoodi, A., Reith, W. D., Khalighinejad, N., & Rushworth, M. F. S. (2026) · Nature Communications · doi:10.1038/s41467-026-68349-9 · Cited by 3

Amygdala and cortical substrates of subjective well-being: pathways to reduced aggression in emotional processing contexts

Ge, Y., Wang, J., Liu, C., Li, X., Im, H., Wang, P., Jin, W., Zhu, W., Shangguan, Q., Zhao, G. W., et al. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf204 · Cited by 2

Emotion and Choice: The Integral Role of Emotion in Constructing Value

FeldmanHall, O., & Teoh, Y. Y. (2026) · Springer eBooks · doi:10.1007/978-3-032-02925-6_21 · Cited by 3

Mood modulations of emotional word processing: A predictive perspective view of EEG data

Kopaeva, E., Blomberg, J., & Roll, M. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01394-x · Cited by 2

Mutluluk Temalı Reklamların Tüketicinin Satın Alma Niyeti Üzerindeki Rolü

DENİZ, A. A., & Tosun, N. B. (2022) · Yönetim Bilimleri Dergisi · doi:10.35408/comuybd.842466 · Cited by 2

The Influence of Emotion on Decision-Making and Its Neural Mechanism

夏, 诗. (2022) · Advances in Psychology · doi:10.12677/ap.2022.122043 · Cited by 2

University Rankings

Gavroglu, K. (2022) · Critical Times · doi:10.1215/26410478-9536519 · Cited by 2

Objective models of subjective feelings

Palminteri, S., & Cecchi, R. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105233 · Cited by 2

Corticolimbic structural connectivity encapsulates real-world emotional reactivity and happiness

Kim, M., Shin, S., Jyung, M., Choi, I., Choi, I., Kim, M. J., & Sul, S. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad056 · Cited by 2

Subjective feelings associated with expectations and rewards during risky decision-making in impulse control disorder

Liebenow, B., Jiang, A., DiMarco, E. K., Sands, L. P., Moya‐Mendez, M. E., Laxton, A. W., Siddiqui, M., Haq, I. U., & Kishida, K. T. (2024) · Scientific Reports · doi:10.1038/s41598-024-53076-2 · Cited by 3

Two peas in a pod: Discounting models as a special case of the VARMAX

Vanhasbroeck, N., Loossens, T., & Tuerlinckx, F. (2024) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2024.102856 · Cited by 2

The association between social rewards and anxiety: Links from neurophysiological analysis in virtual reality and social interaction game

Hu, K., Wang, R., Zhao, S., Yin, E., & Wu, H. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120846 · Cited by 2

The macaque medial prefrontal cortex simultaneously represents self and others’ reward prediction error

Noritake, A., & Isoda, M. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115368 · Cited by 2

Overstatement in happiness reporting with ordinal, bounded scale

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An emotion and temperament model for cognitive mobile robots

Long, L. N., Kelley, T. D., & Avery, E. (2015) · ScholarSphere (Penn State Libraries) · Cited by 2

La comunicación nos hará felices: los valores vocacionales de los futuros estudiantes de comunicación

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Computational approach to depression: From the viewpoint of reinforcement learning

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The interaction between emotion and economic decision-making

Charpentier, C. J. (2016) · UCL Discovery (University College London) · Cited by 2

Influenca: a gamified assessment of value-based decision-making for longitudinal studiesPreprint

Neuser, M. P., Kräutlein, F., Kühnel, A., Teckentrup, V., Svaldi, J., & Kroemer, N. (2021) · bioRxiv · doi:10.1101/2021.04.27.441601 · Cited by 3

Depression symptoms mediate mismatch between perceived severity of the COVID-19 pandemic and preventive motivesPreprint

Park, J., Lee, S., Sul, S., & Chung, D. (2020) · doi:10.31234/osf.io/s4c79 · Cited by 2

Anxiety selectively increases information-seeking in response to large changesPreprint

Charpentier, C. J., Dezza, I. C., Vellani, V., Globig, L. K., Gädeke, M., & Sharot, T. (2021) · doi:10.31234/osf.io/n2puk · Cited by 2

Testing a computational model of subjective well-being: a preregistered replication of Rutledge et al. (2014)

Vanhasbroeck, N., Devos, L., Pessers, S., Kuppens, P., Vanpaemel, W., Moors, A., & Tuerlinckx, F. (2021) · Cognition & Emotion · doi:10.1080/02699931.2021.1891863 · Cited by 12

Momentary subjective well-being depends on learning and not reward

Blain, B., & Rutledge, R. B. (2020) · eLife · doi:10.7554/elife.57977 · Cited by 71

Computational models of subjective feelings in psychiatryPreprint

Kao, C.-H., Feng, G., Hur, J. K., Jarvis, H., & Rutledge, R. B. (2022) · PsyArXiv (OSF Preprints) · doi:10.1016/j.neubiorev.2022.105008 · Cited by 45

A computational model of momentary subjective well-being: Preregistered replication proposal of Rutledge et al. (2014)Preprint

Devos, L., Kuppens, P., Tuerlinckx, F., Vanpaemel, W., Vanhasbroeck, N., & Moors, A. (2016)

Positive affect as a computational mechanism

Eldar, E., Pessiglione, M., & van Dillen, L. F. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.01.007 · Cited by 38