Cited by 376Neural and Behavioral Psychology StudiesNeural dynamics and brain functionEEG and Brain-Computer Interfaces

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

The classic P300 encodes a build‐to‐threshold decision variable

Open access

Twomey, Deirdre M., Murphy, Peter R., Kelly, Simon P., O'Connell, Redmond G.·2015·European Journal of Neuroscience

Open this paper in CoChat — free account

Abstract

The P300 component of the human event‐related potential has been the subject of intensive experimental investigation across a five‐decade period, owing to its apparent relevance to a wide range of cognitive functions and its sensitivity to numerous brain disorders, yet its exact contribution to cognition remains unresolved. Here, we carry out key analyses of the P300 elicited by transient auditory and visual targets to examine its potential role as a ‘decision variable’ signal that accumulates evidence to a decision bound. Consistent with the latter, we find that the P300 reaches a stereotyped amplitude immediately prior to response execution and that its rate of rise scales with target detection difficulty and accounts for trial‐to‐trial variance in RT . Computational simulations of an accumulation‐to‐bound decision process faithfully captured P300 dynamics when its parameters were set by model fits to the RT distributions. Thus, where the dominant explanatory accounts have conceived of the P300 as a unitary neural event, our data reveal it to be a dynamically evolving neural signature of decision formation. These findings place the P300 at the heart of a mechanistically principled framework for understanding decision‐making in both the typical and atypical human brain.

Integrity signals

Registry

Crossref · 10.1111/ejn.12936

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
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
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
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
Evoked-potential correlates of stimulus uncertainty
Sutton, S., Braren, M., Zubin, J., & John, E. R. (1965) · Science · doi:10.1126/science.150.3700.1187 · Cited by 3,061
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
Ratcliff, R., & McKoon, G. (2008) · Neural Computation · doi:10.1162/neco.2008.12-06-420 · Cited by 3,059
On the utility of P3 amplitude as a measure of processing capacity
Kok, A. (2001) · Psychophysiology · doi:10.1017/s0048577201990559 · Cited by 1,766
Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time
Kutas, M., McCarthy, G., & Donchin, E. (1977) · Science · doi:10.1126/science.887923 · Cited by 1,714
Decision making, the P3, and the locus coeruleus–norepinephrine system
Nieuwenhuis, S., Aston-Jones, G., & Cohen, J. D. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.4.510 · Cited by 1,678
On Quantifying Surprise: The Variation of Event‐Related Potentials With Subjective Probability
Duncan‐Johnson, C. C., & Donchin, E. (1977) · Psychophysiology · doi:10.1111/j.1469-8986.1977.tb01312.x · Cited by 1,235

Show all 53 references

Sorted by citations

Perceptual Decision Making in Rodents, Monkeys, and Humans
Hanks, T. D., & Summerfield, C. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.003 · Cited by 409
Effects of relevance and response frequency on P3b amplitudes: Review of findings and comparison of hypotheses about the process reflected by P3b
Verleger, R. (2020) · Psychophysiology · doi:10.1111/psyp.13542 · Cited by 207
Neural correlates of evidence accumulation during value-based decisions revealed via simultaneous EEG-fMRI
Pisauro, M. A., Fouragnan, E. F., Retzler, C., & Philiastides, M. G. (2017) · Nature Communications · doi:10.1038/ncomms15808 · Cited by 229
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
Self-citation
The P3b and P600(s): Positive contributions to language comprehension
Leckey, M., & Federmeier, K. D. (2020) · Psychophysiology · doi:10.1111/psyp.13351 · Cited by 160
The EEG signature of sensory evidence accumulation during decision formation closely tracks subjective perceptual experience
Tagliabue, C. F., Veniero, D., Benwell, C., Cecere, R., Savazzi, S., & Thut, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-41024-4 · Cited by 150
How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters
Nunez, M. D., Vandekerckhove, J., & Srinivasan, R. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.03.003 · Cited by 157
Group-Level EEG-Processing Pipeline for Flexible Single Trial-Based Analyses Including Linear Mixed Models
Frömer, R., Maier, M. E., & Rahman, R. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00048 · Cited by 118
Neurocomputational mechanisms of prior-informed perceptual decision-making in humans
Kelly, S. P., Corbett, E. A., & O’Connell, R. G. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00967-9 · Cited by 152
Self-citation
Neurophysiology of Human Perceptual Decision-Making
O’Connell, R. G., & Kelly, S. P. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092019-100200 · Cited by 130
Self-citation
Target Selection Signals Influence Perceptual Decisions by Modulating the Onset and Rate of Evidence Accumulation
Loughnane, G. M., Newman, D. P., Bellgrove, M. A., Lalor, E. C., Kelly, S. P., & O’Connell, R. G. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.049 · Cited by 113
Self-citation
The norepinephrine system shows information-content specific properties during cognitive control – Evidence from EEG and pupillary responses
Mückschel, M., Chmielewski, W. X., Ziemssen, T., & Beste, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.036 · Cited by 108
Human VMPFC encodes early signatures of confidence in perceptual decisions
Gherman, S., & Philiastides, M. G. (2018) · eLife · doi:10.7554/elife.38293 · Cited by 107
Abstract and Effector-Selective Decision Signals Exhibit Qualitatively Distinct Dynamics before Delayed Perceptual Reports
Twomey, D. M., Kelly, S. P., & O’Connell, R. G. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4162-15.2016 · Cited by 113
Self-citation
Expectations Do Not Alter Early Sensory Processing during Perceptual Decision-Making
Rungratsameetaweemana, N., Itthipuripat, S., Salazar, A., & Serences, J. T. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3638-17.2018 · Cited by 121
A postdecisional neural marker of confidence predicts information-seeking in decision-making
Desender, K., Murphy, P., Boldt, A., Verguts, T., & Yeung, N. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.2620-18.2019 · Cited by 88
Self-citation
Connecting EEG signal decomposition and response selection processes using the theory of event coding framework
Takács, Á., Zink, N., Wolff, N., Münchau, A. M., Mückschel, M., & Beste, C. (2020) · Human Brain Mapping · doi:10.1002/hbm.24983 · Cited by 102
New insights into old waves. Matching stimulus- and response-locked ERPs on the same time-window
Berchicci, M., Spinelli, D., & Di Russo, F. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.04.007 · Cited by 93
Behavioural and neural signatures of perceptual decision-making are modulated by pupil-linked arousal
van Kempen, J., Loughnane, G. M., Newman, D. P., Kelly, S. P., Thiele, A., O’Connell, R. G., & Bellgrove, M. A. (2019) · eLife · doi:10.7554/elife.42541 · Cited by 92
Self-citation
Understanding neural signals of post-decisional performance monitoring: An integrative review
Desender, K., Ridderinkhof, K. R., & Murphy, P. R. (2021) · eLife · doi:10.7554/elife.67556 · Cited by 77
Self-citation
Vivid: How valence and arousal influence word processing under different task demands
Delaney-Busch, N., Wilkie, G., & Kuperberg, G. R. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0402-y · Cited by 94
Neural structure mapping in human probabilistic reward learning
Luyckx, F., Nili, H., Spitzer, B., & Summerfield, C. (2019) · eLife · doi:10.7554/elife.42816 · Cited by 90
Selective overweighting of larger magnitudes during noisy numerical comparison
Spitzer, B., Waschke, L., & Summerfield, C. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0145 · Cited by 80
A resource for assessing information processing in the developing brain using EEG and eye tracking
Langer, N., Ho, E. J., Alexander, L. M., Xu, H., Jozanovic, R. K., Henin, S. E., Petroni, A., Cohen, S. S., Marcelle, E. T., Parra, L. C., et al. (2017) · Scientific Data · doi:10.1038/sdata.2017.40 · Cited by 85
Self-citation
Centro-parietal EEG potentials index subjective evidence and confidence during perceptual decision making
Herding, J., Ludwig, S., von Lautz, A., Spitzer, B., & Blankenburg, F. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116011 · Cited by 86
The P300, the LPP, context updating, and memory: What is the functional significance of the emotion-related late positive potential?
Fields, E. C. (2023) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2023.08.005 · Cited by 92
The discovery of processing stages: Extension of Sternberg’s method.
Anderson, J. R., Zhang, Q., Borst, J. P., & Walsh, M. M. (2016) · Psychological Review · doi:10.1037/rev0000030 · Cited by 74
Subjective visual awareness emerges prior to P3
Koivisto, M., Salminen‐Vaparanta, N., Grassini, S., & Revonsuo, A. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13264 · Cited by 79
A systems neurophysiology approach to voluntary event coding
Petruo, V. A., Stock, A., Münchau, A. M., & Beste, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.007 · Cited by 74
Selective visual attention to emotional pictures: Interactions of task‐relevance and emotion are restricted to the late positive potential
Schindler, S., & Straube, T. (2020) · Psychophysiology · doi:10.1111/psyp.13585 · Cited by 67
Effects of perceptual and working memory load on brain responses to task-irrelevant stimuli: Review and implications for future research
Brockhoff, L., Schindler, S., Bruchmann, M., & Straube, T. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104580 · Cited by 65
Midfrontal theta and pupil dilation parametrically track subjective conflict (but also surprise) during intertemporal choice
Lin, H., Saunders, B., Hutcherson, C. A. C., & Inzlicht, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.055 · Cited by 76
Developments in scalable strategies for detecting early markers of cognitive decline
Whelan, R., Barbey, F. M., Cominetti, M. R., Gillan, C. M., & Rosická, A. M. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02237-w · Cited by 69
Dynamic Effects of Self-Relevance and Task on the Neural Processing of Emotional Words in Context
Fields, E. C., & Kuperberg, G. R. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.02003 · Cited by 71
A differential role for human hippocampus in novelty and contextual processing: Implications for P300
Fonken, Y. M., Kam, J. W. Y., & Knight, R. T. (2019) · Psychophysiology · doi:10.1111/psyp.13400 · Cited by 68
On second thoughts: changes of mind in decision-making
Stone, C., Mattingley, J. B., & Rangelov, D. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.02.004 · Cited by 65
P3b amplitude as a signature of cognitive decline in the older population: An EEG study enhanced by Functional Source Separation
Porcaro, C., Balsters, J. H., Mantini, D., Robertson, I. H., & Wenderoth, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.057 · Cited by 63
Is P3 a strategic or a tactical component? Relationships of P3 sub-components to response times in oddball tasks with go, no-go and choice responses
Verleger, R., Grauhan, N., & Śmigasiewicz, K. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.049 · Cited by 62
Relation between centro-parietal positivity and diffusion model parameters in both perceptual and memory-based decision making
van Vugt, M. K., Beulen, M. A., & Taatgen, N. (2019) · Brain Research · doi:10.1016/j.brainres.2019.03.008 · Cited by 57
The impact of natural aging on computational and neural indices of perceptual decision making: A review
Dully, J., McGovern, D. P., & O’Connell, R. G. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.001 · Cited by 62
Self-citation
Event Related Potentials Index Rapid Recalibration to Audiovisual Temporal Asynchrony
Simon, D. M., Noel, J., & Wallace, M. T. (2017) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2017.00008 · Cited by 57
Revisiting the relationship between the P3b and working memory updating
Rac-Lubashevsky, R., & Kessler, Y. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.107769 · Cited by 60
The Effects of Methylphenidate on the Neural Signatures of Sustained Attention
Dockree, P. M., Barnes, J. J., Matthews, N. L., Dean, A. J., Abe, R., Nandam, L. S., Kelly, S. P., Bellgrove, M. A., & O’Connell, R. G. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.04.016 · Cited by 52
Self-citation
Model-Based Planning Deficits in Compulsivity Are Linked to Faulty Neural Representations of Task Structure
Seow, T. X. F., Benoit, E., Dempsey, C., Jennings, M., Maxwell, A., O’Connell, R. G., & Gillan, C. M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0031-21.2021 · Cited by 52
Self-citation
Do Rare Stimuli Evoke Large P3s by Being Unexpected? A Comparison of Oddball Effects Between Standard-Oddball and Prediction-Oddball Tasks
Verleger, R., & Śmigasiewicz, K. (2016) · Advances in Cognitive Psychology · doi:10.5709/acp-0189-9 · Cited by 50
The norepinephrine system and its relevance for multi-component behavior
Mückschel, M., Gohil, K., Ziemssen, T., & Beste, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.007 · Cited by 51
Neural correlates of the Dunning–Kruger effect
Muller, A., Sirianni, L. A., & Addante, R. J. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14935 · Cited by 60
Neurophysiological Correlates of Attentional Fluctuation in Attention-Deficit/Hyperactivity Disorder
Cheung, C. H. M., McLoughlin, G., Brandeis, D., Banaschewski, T., Asherson, P. J., & Kuntsi, J. (2017) · Brain Topography · doi:10.1007/s10548-017-0554-2 · Cited by 47
The role of premature evidence accumulation in making difficult perceptual decisions under temporal uncertainty
Devine, C. A., Gaffney, C., Loughnane, G. M., Kelly, S. P., & O’Connell, R. G. (2019) · eLife · doi:10.7554/elife.48526 · Cited by 46
Self-citation
Low-frequency neural activity reflects rule-based chunking during speech listening
Jin, P., Lu, Y., & Ding, N. (2020) · eLife · doi:10.7554/elife.55613 · Cited by 44
Cognitive modelling reveals distinct electrophysiological markers of decision confidence and error monitoring
Rausch, M., Zehetleitner, M., Steinhauser, M., & Maier, M. E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116963 · Cited by 51
A leaky evidence accumulation process for perceptual experience
Pereira, M., Perrin, D., & Faivre, N. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.03.003 · Cited by 56
Neuronal Intra-Individual Variability Masks Response Selection Differences between ADHD Subtypes—A Need to Change Perspectives
Bluschke, A., Chmielewski, W. X., Mückschel, M., Roessner, V., & Beste, C. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00329 · Cited by 44
Peripheral visual perception during natural overground dual-task walking in older and younger adults
Protzak, J., Wiczorek, R., & Gramann, K. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.009 · Cited by 42
Evidence accumulation during perceptual decisions in humans varies as a function of dorsal frontoparietal organization
Brosnan, M. B., Sabaroedin, K., Silk, T. J., Genc, S., Newman, D. P., Loughnane, G. M., Fornito, A., O’Connell, R. G., & Bellgrove, M. A. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0863-4 · Cited by 42
Self-citation
Neural dynamics of stimulus-response representations during inhibitory control
Prochnow, A., Bluschke, A., Weißbach, A., Münchau, A. M., Roessner, V., Mückschel, M., & Beste, C. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00163.2021 · Cited by 43
Temporal Expectation Hastens Decision Onset But Does Not Affect Evidence Quality
van den Brink, R. L., Murphy, P. R., Desender, K., de Ru, N., & Nieuwenhuis, S. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1103-20.2020 · Cited by 41
Self-citation
Evidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans
Yau, Y. H. C., Hinault, T., Taylor, M., Cisek, P., Fellows, L. K., & Dagher, A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2551-20.2021 · Cited by 37
Speed-Accuracy Tradeoffs in Brain and Behavior: Testing the Independence of P300 and N400 Related Processes in Behavioral Responses to Sentence Categorization
Alday, P. M., & Kretzschmar, F. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00285 · Cited by 39
Visuospatial Asymmetries Arise from Differences in the Onset Time of Perceptual Evidence Accumulation
Newman, D. P., Loughnane, G. M., Kelly, S. P., O’Connell, R. G., & Bellgrove, M. A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3512-16.2017 · Cited by 37
Self-citation
Impaired conscious access and abnormal attentional amplification in schizophrenia
Berkovitch, L., Cul, A. D., Maheu, M., & Dehaene, S. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.010 · Cited by 43
Neural Signatures of Evidence Accumulation Encode Subjective Perceptual Confidence Independent of Performance
Dou, W., Arango, L. J. M., Castaneda, O. G., Arellano, L., Mcintyre, E., Yballa, C., & Samaha, J. (2024) · Psychological Science · doi:10.1177/09567976241246561 · Cited by 42
Contributions of the Ventral Striatum to Conscious Perception: An Intracranial EEG Study of the Attentional Blink
Slagter, H. A., Mazaheri, A., Reteig, L. C., Smolders, R., Figee, M., Mantione, M. H. M., Schuurman, P. R., & Denys, D. A. J. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2282-16.2016 · Cited by 45
Feasibility of Repeated Assessment of Cognitive Function in Older Adults Using a Wireless, Mobile, Dry-EEG Headset and Tablet-Based Games
McWilliams, E. C., Barbey, F. M., Dyer, J., Islam, M. N., McGuinness, B., Murphy, B., Nolan, H., Passmore, P., Rueda‐Delgado, L. M., & Buick, A. R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.574482 · Cited by 36
Time-dependent effects of perceptual load on processing fearful and neutral faces
Schindler, S., Caldarone, F., Bruchmann, M., Moeck, R., & Straube, T. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107529 · Cited by 37
Analysis and asynchronous detection of gradually unfolding errors during monitoring tasks
Omedes, J., Iturrate, I., Mínguez, J., & Montesano, L. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/5/056001 · Cited by 39
Detecting changes in dynamic and complex acoustic environments
Boubenec, Y., Lawlor, J., Górska, U., Shamma, S., & Englitz, B. (2017) · eLife · doi:10.7554/elife.24910 · Cited by 35
EEG correlates of cognitive time scales in the Necker-Zeno model for bistable perception
Kornmeier, J., Friedel, E. B. N., Wittmann, M., & Harald Atmanspacher, A. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.04.011 · Cited by 39
Factors that affect error potentials during a grasping task: toward a hybrid natural movement decoding BCI
Omedes, J., Schwarz, A., Müller-Putz, G., & Montesano, L. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aac1a1 · Cited by 35
Inter‐ and intra‐individual coupling between pupillary, electrophysiological, and behavioral responses in a visual oddball task
LoTemplio, S. B., Silcox, J. W., Federmeier, K. D., & Payne, B. R. (2020) · Psychophysiology · doi:10.1111/psyp.13758 · Cited by 36
Electrophysiological correlates of self-prioritization
Sui, J., He, X., Golubickis, M., Svensson, S. L., & Macrae, C. N. (2023) · Consciousness and Cognition · doi:10.1016/j.concog.2023.103475 · Cited by 36
Neural correlates of cognitive processing capacity in elite soccer players
Wang, C., Lin, C.-C., Moreau, D., Yang, C.-T., & Liang, W. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107971 · Cited by 37
Electrophysiology as a theoretical and methodological hub for the neural sciences
Cavanagh, J. F. (2018) · Psychophysiology · doi:10.1111/psyp.13314 · Cited by 36
Decreasing Alertness Modulates Perceptual Decision-Making
Jagannathan, S. R., Bareham, C. A., & Bekinschtein, T. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0182-21.2021 · Cited by 36
The first independent study on the complex trial protocol version of the P300-based concealed information test: Corroboration of previous findings and highlights on vulnerabilities
Lukács, G., Weiss, B., Dalos, V. D., Kilencz, T., Tudja, S., & Csifcsák, G. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.10.010 · Cited by 33
Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions
Gherman, S., Markowitz, N., Tostaeva, G., Espinal, E., Mehta, A. D., O’Connell, R. G., Kelly, S. P., & Bickel, S. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01824-9 · Cited by 34
Self-citation
The neurophysiological basis of reward effects on backward inhibition processes
Zhang, R., Stock, A., & Beste, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.080 · Cited by 31
Confidence Representation of Perceptual Decision by EEG and Eye Data in a Random Dot Motion Task
Shooshtari, S. V., Esmaily, J., Azizi, Z. R., & Ebrahimpour, R. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.03.031 · Cited by 31
Reduction of Pavlovian Bias in Schizophrenia: Enhanced Effects in Clozapine-Administered Patients
Albrecht, M. A., Waltz, J. A., Cavanagh, J. F., Frank, M. J., & Gold, J. M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152781 · Cited by 32
Common neural choice signals can emerge artefactually amid multiple distinct value signals
Frömer, R., Nassar, M. R., Ehinger, B., & Shenhav, A. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01971-z · Cited by 37
The importance of resource allocation for the interplay between automatic and cognitive control in response inhibition – An EEG source localization study
Ghin, F., Stock, A., & Beste, C. (2022) · Cortex · doi:10.1016/j.cortex.2022.07.004 · Cited by 34
Stimulus expectations do not modulate visual event-related potentials in probabilistic cueing designs
den Ouden, C., Zhou, A., Mepani, V., Kovács, G., Vogels, R., & Feuerriegel, D. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120347 · Cited by 36
Relationship of P3b single-trial latencies and response times in one, two, and three-stimulus oddball tasks
Walsh, M. M., Glenn Gunzelmann, A., & Anderson, J. R. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.11.011 · Cited by 29
Strategic down‐regulation of attentional resources as a mechanism of proactive response inhibition
Langford, Z. D., Krebs, R. M., Talsma, D., Woldorff, M. G., & Boehler, C. N. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13303 · Cited by 27
Reduced influence of perceptual context in schizophrenia: behavioral and neurophysiological evidence
Pokorny, V., Lano, T. J., Schallmo, M., Olman, C. A., & Sponheim, S. R. (2019) · Psychological Medicine · doi:10.1017/s0033291719003751 · Cited by 28
Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection
Markkula, G. M., Uludağ, Z., Wilkie, R. M., & Billington, J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009096 · Cited by 29
Neural correlates of consciousness in an attentional blink paradigm with uncertain target relevance
Dellert, T., Krebs, S., Bruchmann, M., Schindler, S., Peters, A., & Straube, T. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119679 · Cited by 31
Questioning the role of the frontopolar cortex in multi-component behavior – a TMS/EEG study
Gohil, K., Dippel, G., & Beste, C. (2016) · Scientific Reports · doi:10.1038/srep22317 · Cited by 31
Predictions through evidence accumulation over time
Darriba, Á., & Waszak, F. (2018) · Scientific Reports · doi:10.1038/s41598-017-18802-z · Cited by 28
Tracking the implicit acquisition of nonadjacent transitional probabilities by ERPs
Kóbor, A., Horváth, K., Kardos, Z., Takács, Á., Janacsek, K., Csépe, V., & Németh, D. (2019) · Memory & Cognition · doi:10.3758/s13421-019-00949-x · Cited by 24
Timing of Readiness Potentials Reflect a Decision-making Process in the Human Brain
Lui, K. K., Nunez, M. D., Cassidy, J. M., Vandekerckhove, J., Cramer, S. C., & Srinivasan, R. (2020) · Computational Brain & Behavior · doi:10.1007/s42113-020-00097-5 · Cited by 27
Go and no-go P3 with rare and frequent stimuli in oddball tasks: A study comparing key-pressing with counting
Verleger, R., Grauhan, N., & Śmigasiewicz, K. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.11.009 · Cited by 28
The response relevance of visual stimuli modulates the P3 component and the underlying sensorimotor network
Asanowicz, D., Gociewicz, K., Koculak, M., Finc, K., Bonna, K., Axel Cleeremans, B., & Binder, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60268-z · Cited by 26
Striatal BOLD and midfrontal theta power express motivation for action
Algermissen, J., Swart, J. C., Scheeringa, R., Cools, R., & den Ouden, H. E. M. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab391 · Cited by 30
Implicit anticipation of probabilistic regularities: Larger CNV emerges for unpredictable events
Kóbor, A., Kardos, Z., Horváth, K., Janacsek, K., Takács, Á., Csépe, V., & Németh, D. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107826 · Cited by 26
Neural Repetition Suppression Modulates Time Perception: Evidence From Electrophysiology and Pupillometry
Kruijne, W., Olivers, C. N. L., & van Rijn, H. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01705 · Cited by 28
Effects of auditory distraction on voluntary movements: exploring the underlying mechanisms associated with parallel processing
Bigliassi, M., Karageorghis, C. I., Nowicky, A. V., Wright, M. J., & Orgs, G. (2017) · Psychological Research · doi:10.1007/s00426-017-0859-5 · Cited by 27
Updating the relationship of the Ne/ERN to task-related behavior: A brief review and suggestions for future research
LoTemplio, S. B., Lopes, C. L., McDonnell, A. S., Scott, E. E., Payne, B. R., & Strayer, D. L. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1150244 · Cited by 25
The system neurophysiological basis of non‐adaptive cognitive control: Inhibition of implicit learning mediated by right prefrontal regions
Stock, A., Steenbergen, L., Colzato, L. S., & Beste, C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23325 · Cited by 27
Parsing the neural signatures of reduced error detection in older age
Harty, S., Murphy, P. R., Robertson, I. H., & O’Connell, R. G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.032 · Cited by 26
Self-citation

Authors: Twomey, D. M., Murphy, P. R., Kelly, S. P., & O'Connell, R. G.
Affiliations: Trinity College Dublin (IE)
Leiden University (NL)
City College of New York (US)
Trinity College Institute of Neuroscience, Lloyd Building Trinity College Dublin Dublin 2 Ireland
ORCID: Kelly, Simon P.
Venue: European Journal of Neuroscience
Publisher: Wiley
Published: 2015-05-28
Volume: 42
Issue: 1
Pages: 1636-1643
ISSN: 0953-816X (ISSN-L)
1460-9568
DOI: 10.1111/ejn.12936
OpenAlex: W1978718038
Cited by: 376
References: 53
Citations by year: 2026: 38 · 2025: 22 · 2024: 35 · 2023: 40 · 2022: 34 · 2021: 34 · 2020: 40 · 2019: 36 · 2018: 33 · 2017: 27 · 2016: 33 · 2015: 4
FWCI: 19.22
Type: journal article
Language: en
Open access: green
zenodo.org
Licence: other-oa
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: European Journal of Neuroscience (publishedVersion)
PubMed (publishedVersion)
Leiden Repository (Leiden University) (submittedVersion)
Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
Data Archiving and Networked Services (DANS) (submittedVersion)
Funders: National Science Foundation (BCS- 1358955)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords: P300, event-related potentials, decision variables, evidence accumulation, decision-making, response execution, reaction time variability, computational modeling
MeSH terms: Adult, Auditory Perception, Brain, Computer Simulation, Decision Making, Evoked Potentials, Auditory, Evoked Potentials, Visual, Female, Humans, Male, Models, Neurological, Reaction Time, Visual Perception, Event-Related Potentials, P300, Young Adult

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

The classic P300 encodes a build‐to‐threshold decision variable

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks