The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Learning-related changes in reward expectancy are reflected in the feedback-related negativity
Open accessAbstract
The feedback‐related negativity (FRN) has been hypothesized to be linked to reward‐based learning. While many studies have shown that the FRN only occurs in response to unexpected negative outcomes, the relationship between the magnitude of negative prediction errors and FRN amplitude remains a matter of debate. The present study aimed to elucidate this relationship with a new behavioural procedure that allowed subjects to predict precise reward probabilities by learning an explicit rule. Insight into the rule did not only influence subjects' choice behaviour, but also outcome‐related event‐related potentials. After subjects had learned the rule, the FRN amplitude difference between non‐reward and reward mirrored the magnitude of the negative prediction error, i.e. it was larger for less likely negative outcomes. Source analysis linked this effect to the anterior cingulate cortex. P300 amplitude was also modulated by outcome valence and expectancy. It was larger for positive and unexpected outcomes. It remains to be clarified, however, whether the P300 reflects a positive prediction error.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“ERP studies in healthy participants show that FRN/RewP amplitudes are modulated by reward expectancy and prediction error, and that learning-related changes in reward expectancy are reflected in the feedback-locked medial-frontal signal [128,130].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2005) · Cited by 5,977
Holroyd, C. B., & Coles, M. G. H. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.679 · Cited by 4,027
Is the P300 component a manifestation of context updating?
Donchin, E., & Coles, M. G. H. (1988) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00058027 · Cited by 3,585
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994) · International Journal of Psychophysiology · doi:10.1016/0167-8760(84)90014-x · Cited by 2,869
A neural system for error detection and compensation
Gehring, W. J., Goss, B., Coles, M. G. H., Meyer, D. E., & Donchin, E. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00586.x · Cited by 2,862
Lee, T.-W., Girolami, M., & Sejnowski, T. J. (1999) · Neural Computation · doi:10.1162/089976699300016719 · Cited by 1,967
The P300 wave of the human event-related potential
Picton, T. W. (1992) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199210000-00002 · Cited by 1,908
The Medial Frontal Cortex and the Rapid Processing of Monetary Gains and Losses
Gehring, W. J., & Willoughby, A. R. (2002) · Science · doi:10.1126/science.1066893 · Cited by 1,884
Miltner, W. H. R., Braun, C. H., & Coles, M. G. H. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.6.788 · Cited by 1,530
FMRI visualization of brain activity during a monetary incentive delay task
Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000) · NeuroImage · doi:10.1006/nimg.2000.0593 · Cited by 1,414
Research works printed but not linked: 4
- Dum R.P., 1993, Neurobiology of Cingulate Cortex and Limbic Thalamus: A Comprehensive Review, 414
- Van Hoesen G.W., 1993, Neurobiology of Cingulate Cortex and Limbic Thalamus: A Comprehensive Review, 414
- Holroyd C.B., 2004, Errors, Conflicts and the Brain: Current Opinions in Response Monitoring
- Talairach J., 1988, Co‐planar Stereotaxic Atlas of the Human Brain 3‐Dimensional Proportion System: an Approach to Medical Cerebral Imaging
Cited by
Sorted by citations
Items 201–300 of 300
System justification and electrophysiological responses to feedback: Support for a positivity bias.
Tritt, S. M., Page‐Gould, E., Peterson, J. B., & Inzlicht, M. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0035179 · Cited by 8
Rejection in Bargaining Situations: An Event-Related Potential Study in Adolescents and Adults
Zanolie, K., David De Cremer, A., Güroğlu, B., & Crone, E. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139953 · Cited by 8
Electrophysiological brain indices of risk behavior modification induced by contingent feedback
Megías‐Robles, A., Torres, M. A., Catena, A., Cândido, A., & Maldonado, A. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.01.003 · Cited by 8
Bacelar, M. F. B., Lohse, K. R., Parma, J. O., & Miller, M. W. (2024) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2024.1466970 · Cited by 7
Margraf, L., Krause, D., & Weigelt, M. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.04.016 · Cited by 8
The role of trait empathy in the processing of observed actions in a false-belief task
Bellebaum, C., Ghio, M., Wollmer, M., Weismüller, B., & Thoma, P. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa009 · Cited by 8
Self-citationWang, X., Wu, H., Huang, J., Gao, C., Yin, Y., Tang, X., & Peng, D. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.05.057 · Cited by 7
Martínez-Velázquez, E. S., Ramos‐Loyo, J., González‐Garrido, A. A., & Sequeira, H. (2014) · Neuroreport · doi:10.1097/wnr.0000000000000291 · Cited by 7
Enhanced Feedback-Related Negativity in Alzheimer’s Disease
Nitta, E., Onoda, K., Ishitobi, F., Okazaki, R., Mishima, S., Nagai, A., & Yamaguchi, S. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00179 · Cited by 8
Neural Correlates of Feedback Processing in Visuo-Tactile Crossmodal Paired-Associate Learning
Gui, P., Li, J., Ku, Y., Li, L., Li, X., Zhou, X., Bodner, M., Lenz, F. A., Dong, X.-W., Wang, L., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00266 · Cited by 6
An ERP Study of Expectation Violation in a Social Comparison Context
Du, X., Hitchman, G., Zhang, Q., & Qiu, J. (2014) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000112 · Cited by 6
Baetu, I., Pitcher, J. B., Cohen‐Woods, S., Lancer, B. H., Beu, N., Foreman, L. M., Taylor, P. D., & Burns, N. R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.058 · Cited by 6
Internal control beliefs and reference frame concurrently impact early performance monitoring ERPs
Pfabigan, D. M., Wucherer, A. M., & Lamm, C. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0604-6 · Cited by 6
The neural basis of feedback-guided behavioral adjustment
Sun, S., & Wang, S. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2020.135243 · Cited by 6
Do food images as action outcomes evoke a reward positivity?
Springer, A., Ohlendorf, F., Schober, J., Lange, L., & Osinsky, R. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2021.105804 · Cited by 6
The relationship between responsiveness to social and monetary rewards and ADHD symptoms
Sütçübaşı, B., Metin, B., Taş, C., Krzan, F., Sarı, B. A., Özçimen, B., & Tarhan, N. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0609-1 · Cited by 9
Doñamayor, N., Dinani, J., Römisch, M., Ye, Z., & Münte, T. F. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.07.013 · Cited by 6
A Nickel Ain't Worth a Dime Anymore: The Illusion of Money and the Rapid Encoding of Its True Value
Yu, R., & Huang, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055025 · Cited by 5
The Importance of Failure: Feedback Related Negativity Predicts Motor Learning Efficiency
Boksem, M., der Helden, J. V., & Blom, J. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)71967-6 · Cited by 5
Evidence for Altered Neural Processing in Patients With Borderline Personality Disorder
Flasbeck, V., Juckel, G., & Brüne, M. (2020) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000271 · Cited by 5
Affective imagery boosts the reward related delta power in hazardous drinkers
Singh, G., Campbell, E. M., Hogeveen, J., Witkiewitz, K. A., Claus, E. D., & Cavanagh, J. F. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111685 · Cited by 6
The role of GABAB receptors in human reinforcement learning
Ort, A., Kometer, M., Rohde, J., Seifritz, E., & Vollenweider, F. X. (2014) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2014.08.013 · Cited by 5
The effect of task difficulty on feedback processing in children
Arbel, Y. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.04.014 · Cited by 6
Sommer, A., Fallgatter, A. J., & Plewnia, C. (2021) · Journal of Neural Transmission · doi:10.1007/s00702-021-02444-7 · Cited by 5
Toyomaki, A., Hashimoto, N., Kako, Y., Murohashi, H., & Kusumi, I. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183792 · Cited by 5
Highsmith, J. M., Wuensch, K. L., Tran, T. D., Stephenson, A. J., & Everhart, D. E. (2016) · Brain Informatics · doi:10.1007/s40708-016-0050-6 · Cited by 5
Altered Feedback-Related Negativity in Mild Cognitive Impairment
Abe, S., Onoda, K., Takamura, M., Nitta, E., Nagai, A., & Yamaguchi, S. (2023) · Brain Sciences · doi:10.3390/brainsci13020203 · Cited by 4
Palidis, D. J., & Fellows, L. K. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad424 · Cited by 4
Gul, A., Baron, L. S., Black, K. B., Schafer, A. L., & Arbel, Y. (2023) · Brain Sciences · doi:10.3390/brainsci13121649 · Cited by 4
Loock, K., Heinbockel, H., Kalbe, F., & Schwabe, L. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0739-25.2025 · Cited by 4
Sewell, D. K., Warren, H. A., Rosenblatt, D. H., Bennett, D., Lyons, M., & Bode, S. (2018) · Computational Brain & Behavior · doi:10.1007/s42113-018-0012-6 · Cited by 4
Margraf, L., Krause, D., & Weigelt, M. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.04.018 · Cited by 4
Bello, F. D., Falcone, R., & Genovesio, A. (2024) · iScience · doi:10.1016/j.isci.2024.109559 · Cited by 4
Leue, A., Nieden, K., Scheuble, V., & Beauducel, A. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00776-7 · Cited by 4
Intrinsic Emotional Relevance of Outcomes and Prediction Error
Nahum, L., Barcellona‐Lehmann, S., Morand, S. M., Sander, D., & Schnider, A. (2012) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000066 · Cited by 4
Human Learning About Causation
Baetu, I., & Baker, A. G. (2016) · Wiley eBooks · doi:10.1002/9781118650813.ch15 · Cited by 4
The Role of the N170 in Linking Stimuli to Feedback—Effects of Stimulus Modality and Feedback Delay
Röhlinger, M., Albrecht, C., & Bellebaum, C. (2025) · Psychophysiology · doi:10.1111/psyp.70050 · Cited by 3
Self-citationRöhlinger, M., Albrecht, C., Ghio, M., & Bellebaum, C. (2025) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.a.49 · Cited by 4
Self-citationYokota, Y., & Naruse, Y. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277663 · Cited by 3
The modulation of pain in reward processing is reflected by increased P300 and delta oscillation
Li, X., Zhou, X., Zheng, H., & Wang, C. (2023) · Brain and Cognition · doi:10.1016/j.bandc.2023.105972 · Cited by 4
MacLean, M. H., & Arnell, K. M. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-012-0140-8 · Cited by 3
Neural indices of associative learning in pre-adolescents: An event-related potential study
Hofmann, J., Keage, H. A. D., Callahan, R., Coussens, S. W., Churches, O. F., & Baetu, I. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2018.12.006 · Cited by 3
Ludowicy, P., Czernochowski, D., Weis, T., Haese, A., & Lachmann, T. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.03.017 · Cited by 3
Non-pharmacological treatment of epilepsy
Osuch, B., & Maciejak, P. (2021) · Pharmacotherapy in Psychiatry and Neurology · doi:10.33450/fpn.2020.11.002 · Cited by 3
Aberrant Reward Anticipating and Processing in Abstinent Heroin Addicts
Li, J., & Yao, H. (2023) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2023.3290969 · Cited by 3
Berkmush-Antipova, A., Syrov, N., Yakovlev, L., Miroshnikov, A., Golovanov, F., Shusharina, N. N., & Kaplan, A. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1394496 · Cited by 4
Individual differences in feedback processing affect perceptual learning
Muller-Gass, A., Duncan, M., Tavakoli, P., & Campbell, K. B. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.01.017 · Cited by 3
Cooperative update of beliefs and state-transition functions in human reinforcement learning
Higashi, H., Minami, T., & Nakauchi, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-53600-9 · Cited by 3
Vahedi, J., Bahic, A., Chaliani, I., Schilbach, L., Ciupka‐Schön, B., Bellebaum, C., Pietrowsky, R., & Peterburs, J. (2025) · Psychophysiology · doi:10.1111/psyp.70142 · Cited by 3
Self-citationThe impact of emotional feedback in learning easy and difficult tasks – an ERP study
Braunwarth, J. I., & Ferdinand, N. K. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01284-2 · Cited by 4
Bublatzky, F., Schellhaas, S., & Paret, C. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.908454 · Cited by 2
The impact of social comparison on self-deception: An event-related potentials study
Yang, Y., Zhong, B., Zhang, W., & Fan, W. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01203-x · Cited by 2
A comparison of reward processing during Becker–DeGroot–Marschak and Vickrey auctions: An ERP study
Newton‐Fenner, A., Hewitt, D., Henderson, J. R., Fallon, N. B., Gu, Y., Gorelkina, O., Giesbrecht, T., & Stančák, A. (2023) · Psychophysiology · doi:10.1111/psyp.14313 · Cited by 1
Zendehrouh, S., Gharibzadeh, S., & Towhidkhah, F. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00077 · Cited by 2
Total variation for the analysis of event-related potentials
Klein, A., & Skrandies, W. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.10.012 · Cited by 2
Electrophysiological correlates of feedback processing in subarachnoid hemorrhage patients
Gómez-Andrés, A., Suades, A., Cucurell, D., de Miquel, M. A., Juncadella, M., & Rodríguez‐Fornells, A. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102075 · Cited by 2
Shephard, E. (2014) · Nottingham ePrints (University of Nottingham) · Cited by 2
Verbeke, P., & Verguts, T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/457150 · Cited by 2
Dias, C., Sousa, T., & Castelo-Branco, M. S. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00343 · Cited by 3
Maas, L., Peeters, C. B. C. M., Hiligsmann, M., van Kuijk, S. M. J., Tousseyn, S., Kellenaers, J., van Mastrigt, G. A. P. G., Vlooswijk, M. C. G., Klinkenberg, S., Wagner, L., et al. (2025) · Journal of Medical Economics · doi:10.1080/13696998.2025.2473745 · Cited by 1
Niu, N., Li, J., Li, M., Qi, X., Zhou, X., & Zhong, Y. (2026) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2026.102936 · Cited by 2
Dampuré, J., Agudelo-Orjuela, P., van der Meij, M., Barber, H. A., & Belin, D. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1743972 · Cited by 1
Age differences in socio-emotional feedback processing during learning: an ERP study
Braunwarth, J. I., & Ferdinand, N. K. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1756618
Iwaki, N., & Tanaka, S. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.05.002 · Cited by 1
Influence of Trait-Anxiety on Inhibition Function: Evidence from ERP Studies
Luo, Y., Gu, R., & Huang, Y. (2011) · InTech eBooks · doi:10.5772/21734 · Cited by 1
Dynamic modulation of neural feedback processing and attention during spatial probabilistic learning
Pütz, C., van den Berg, B., & Lorist, M. M. (2022) · iScience · doi:10.1016/j.isci.2022.104302 · Cited by 2
Are Deaf College Students More Sensitive to Unfair Information? Evidence from an ERP Study
Sun, L., Dong, Q., Du, X., & Wei, D. (2024) · Brain Sciences · doi:10.3390/brainsci14080788 · Cited by 1
Wang, Z., Deng, H., & Li, G. (2025) · Information and Computer Security · doi:10.1108/ics-08-2024-0206 · Cited by 1
Trial-by-trial adaptation of decision making performance - a model-based EEG analysis
van Vugt, M. K., Simen, P., Cohen, J. D., Özyurt, J., Anschütz, A., Bernholt, S., & Lenk, J. C. (2011) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 1
EFFECTS OF LOSS AVERSION ON THE EVALUATION OF DECISION OUTCOMES
Kokmotou, A. (2019) · University of Liverpool · doi:10.17638/03046759 · Cited by 1
Oerlemans, J., Alejandro, R. J., Hemelsoet, D., Genbrugge, E., Bouche, K., Defreyne, L., Herdt, V. D., & Holroyd, C. B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.04.626789 · Cited by 1
Distinct neural routes for evaluative and informational social influencePreprint
Manivasagam, S., Schultze, T., Schacht, A., & Fischer, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.30.685641 · Cited by 1
Chmiel, J., & Kładna, A. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15155994
Electrophysiological indices of feedback processing
Christie, G. J. (2010) · Open ULeth Scholarship (OPUS) (University of Lethbridge)
The role of race and emotional expressions on trust decisions
Molina, M. I. T. (2014) · Institutional Repository of the University of Granada (University of Granada)
Effects of expectancy and agency on the feedback-related negativity
Anderson, S. J. (2014) · doi:10.31274/etd-180810-3643
An Electrophysiological Investigation into the Role of Cognitive Control in the Attentional Blink
MacLean, M. H. (2013) · Brock University Digital Repository (Brock University)
McCoy, A. W. (2015) · K-State Research Exchange (Kansas State University)
A Generalized Arousal Model of Political Orientation
Tritt, S. M. (2014) · TSpace (University of Toronto)
STATUS AND IDENTITY: AN ELECTROENCEPHALOGRAPHIC APPROACH
Pfeiffer, M. (2016) · OhioLink ETD Center (Ohio Library and Information Network)
AN ERP INVESTIGATION OF REWARD SIGNALS FOR DIFFERING CLASSES OF REINFORCING STIMULI
Brown, D. R. (2019) · UNM’s Digital Repository (University of New Mexico)
Exploring personality: the impact of impulsivity on decision making and reward processing
Berman, T. (2019) · UVic’s Research and Learning Repository (University of Victoria)
Mushtaq, F., Stoet, G., Bland, A. R., & Schaefer, A. (2014) · PLoS ONE · doi:10.1371/annotation/f7a918f4-826a-40a7-814b-b150391297bf
Pütz, C., van den Berg, B., & Lorist, M. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.29.466415
Bellato, A., Norman, L. J., Idrees, I., Ogawa, C. Y., Waitt, A. E., Zuccolo, P. F., Tye, C., Raduà, J., Groom, M. J., & Shephard, E. (2021) · doi:10.31219/osf.io/t2kus
Dimension-wise Sequential Update for Learning a Multidimensional Environment in Humans
Higashi, H. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01975
Xia, F., Xinguang, S., & Chengzhi, F. (2023) · International Journal of Psychology and Psychoanalysis · doi:10.23937/2572-4037.1510069
Neurocognitive characteristics of perceptual feedback processing differ in autism
Zuk, N. J., Slobodskoy-Plusnin, J. Y., Weiss, Y., Sampath, V., Düsterwald, K. M., Akrami, A., & Ahissar, M. (2026) · Journal of Neuroscience · doi:10.1101/2024.07.23.604831
Lenzoni, S., Hunter, K. A., Heym, N., Heasman, B. C., Blanco, S., Walton, G., Gibson, G. R., Poveda, C. G., Baguley, T. S., Wang, G., et al. (2025) · Psychopharmacology · doi:10.1007/s00213-025-06878-9
Na, E., & Dyson, B. J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5413975
EEG Activity Predictive of Learning Through Feedback
Danyluik, M., Chakravarty, S., & Caplan, J. B. (2025) · Computational Brain & Behavior · doi:10.1007/s42113-025-00259-3
Neural indicator of feedback sensitivity characterizes reinforcement learning behavior in adultsPreprint
Khan, M. A., Lin, J., Lu, J., & Zhang, C. (2025) · Research Square · doi:10.21203/rs.3.rs-7994034/v1
Liu, D., Jia, S., Sun, Y., Colzato, L. S., & Hommel, B. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121894
Torrecillos, F. (2016) · theses.fr (ABES) · doi:10.70675/aa66f432z8f86z4821za5e2z30e11c35f2a4
Carrière, N. (2015) · theses.fr (ABES) · doi:10.70675/08ca0910za340z4a0bzaf66z1be41e77e43e
Kläser, A. T., & Ferdinand, N. K. (2026) · Biological Psychology · doi:10.1016/j.biopsycho.2026.109287
The Impact of Cognitive Control Training on Error-Monitoring
Ingels, A., Dousset, C., & Campanella, S. (2026) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000362
Kalmagambetov, D., Melnikov, M. Y., Zholdassova, M., Kamzanova, A., Abdilmanov, D., Datkhabayeva, G. K., Eliassen, J., Allendorfer, J. B., & Kustubayeva, A. (2026) · Brain Sciences · doi:10.3390/brainsci16090953
Motivational Biases in Go and Nogo Learning From Immediate Versus Delayed Feedback
Vahedi, J., Schneider, S., Swiatek, L., Peterburs, J., & Bellebaum, C. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70717
Self-citation
Metadata
- Authors
- Bellebaum, C., & Daum, I.
- Affiliations
- Ruhr University Bochum (DE)
- ORCID
- Bellebaum, Christian
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2008-03-31
- Volume
- 27
- Issue
- 7
- Pages
- 1823-1835
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2138877238
- Cited by
- 299
- References
- 43
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 11 · 2023: 13 · 2022: 5 · 2021: 20 · 2020: 15 · 2019: 31 · 2018: 28 · 2017: 17 · 2016: 15 · 2015: 20 · 2014: 25 · 2013: 25 · 2012: 13
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bundesministerium für Bildung und Forschung (01GW0541)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- feedback-related negativity, reward expectancy, reward learning, prediction error, P300, outcome valence, outcome expectations, rule induction, anterior cingulate cortex, event-related potentials, choice behavior
- MeSH terms
- Adult, Female, Humans, Learning, Male, Motivation, Psychomotor Performance, Reaction Time, Reward, Event-Related Potentials, P300, Feedback, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review