The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.
Neural mechanisms and temporal dynamics of performance monitoring
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Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
(2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 24,496
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Updating P300: An integrative theory of P3a and P3b
Polich, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.019 · Cited by 7,919
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
Holroyd, C. B., & Coles, M. G. H. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.679 · Cited by 4,027
Anterior Cingulate Conflict Monitoring and Adjustments in Control
Kerns, J. G., Cohen, J. D., MacDonald, A. W., Cho, R. Y., Stenger, V. A., & Carter, C. S. (2004) · Science · doi:10.1126/science.1089910 · Cited by 2,891
Influence of cognitive control and mismatch on the N2 component of the ERP: A review
Folstein, J. R., & Van Petten, C. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00602.x · Cited by 2,567
Dopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396
The expected value of control: an integrative theory of anterior cingulate cortex function
Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.007 · Cited by 2,321
Cited by
The Anterior Cingulate Gyrus and Social Cognition: Tracking the Motivation of Others
Apps, M. A. J., Rushworth, M. F. S., & Chang, S. W. C. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.018 · Cited by 559
“This is in stark contrast to generalized models of dACC/ACCs, of which theoretical accounts are numerous and classical accounts suggest that the ACCs may be important for conflict monitoring, error detection, learning, and decision making (Alexander and Brown, 2011; Rushworth et al., 2012; Holroyd and Yeung, 2012; She…”
InfluentialObsessive-compulsive disorder: Puzzles and prospects
Robbins, T. W., Vaghi, M. M., & Banca, P. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.046 · Cited by 510
Wessel, J. R., Danielmeier, C., & Ullsperger, M. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2011.21635 · Cited by 236
Self-citationConflict monitoring and error processing: New insights from simultaneous EEG–fMRI
Iannaccone, R., Hauser, T. U., Staempfli, P., Walitza, S., Brandeis, D., & Brem, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.028 · Cited by 210
Neural evidence accumulation persists after choice to inform metacognitive judgments
Murphy, P. R., Robertson, I. H., Harty, S., & O'Connell, R. G. (2015) · eLife · doi:10.7554/elife.11946 · Cited by 170
Metadata
- Authors
- Ullsperger, M., Fischer, A. G., Nigbur, R., & Endrass, T.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 18
- Issue
- 5
- Pages
- 259-267
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2129408021
- Cited by
- 435
- References
- 98
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural mechanisms and temporal dynamics of performance monitoring. https://app.cochat.ai/papers/10.1016/j.tics.2014.02.009
- The paper
- Ullsperger, M., Fischer, A. G., Nigbur, R., & Endrass, T. (2014). Neural mechanisms and temporal dynamics of performance monitoring. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2014.02.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
