For Distinguished Early Career Contribution to Psychophysiology: Award Address, 1985: A Triarchic Model of P300 Amplitude
Open accessAbstract
A model of P300 amplitude is proposed that reduces the many hypothetical constructs invoked to explain variations in P300 amplitude to three dimensions: 1) Subjective Probability, 2) Stimulus Meaning, and 3) Information Transmission. Evidence is presented to support the assertion that variables on the subjective probability and stimulus meaning dimensions have independent and additive contributions to overall P300 amplitude. The amplitude contributions of both of these dimensions, however, are modulated by a multiplicative relation with the proportion of transmitted stimulus information. Within each dimension, the fundamental experimental variables and their interrelations are specified. An example is presented to show how, by using an additive factors method, the respective amplitude effects of the probability and stimulus meaning dimensions can be separated. Supporting data are presented to show that the proposed model provides a reasonable and testable framework in which to conceptualize P300 results.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
P300 amplitude is proportional to the amount of attentional resources engaged in processing a given stimulus.
“and the amplitude of the P300 is proportional to the amount of attentional resources engaged in processing a given stimulus56.”
From The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence (2021) · cites this paper as [56]
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486 · see citing works
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335 · see citing works
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902 · see citing works
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 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
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 · see citing works
On the utility of P3 amplitude as a measure of processing capacity
Kok, A. (2001) · Psychophysiology · doi:10.1017/s0048577201990559 · Cited by 1,766 · see citing works
Event-Related Potentials, Emotion, and Emotion Regulation: An Integrative Review
Hajcak, G., MacNamara, A., & Olvet, D. M. (2010) · Developmental Neuropsychology · doi:10.1080/87565640903526504 · Cited by 1,370 · see citing works
Memory processes, brain oscillations and EEG synchronization
Klimesch, W. (1996) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(96)00057-8 · Cited by 923 · see citing works
The persistence of attention to emotion: Brain potentials during and after picture presentation.
Hajcak, G., & Olvet, D. M. (2008) · Emotion · doi:10.1037/1528-3542.8.2.250 · Cited by 443 · see citing works
Expectation and Attention in Hierarchical Auditory Prediction
Chennu, S., Noreika, V., Gueorguiev, D., Blenkmann, A., Kochen, S., Ibanez, A., Owen, A. M., & Bekinschtein, T. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0114-13.2013 · Cited by 299 · see citing works
Endophenotypes in bipolar disorder
Lenox, R. H., Gould, T. D., & Manji, H. K. (2002) · American Journal of Medical Genetics · doi:10.1002/ajmg.10360 · Cited by 264 · see citing works
Verleger, R. (2020) · Psychophysiology · doi:10.1111/psyp.13542 · Cited by 207 · see citing works
Marucci, M., Di Flumeri, G., Borghini, G., Sciaraffa, N., Scandola, M., Pavone, E. F., Babiloni, F., Betti, V., & Aricò, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-84196-8 · Cited by 170 · see citing works
Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis
Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Belardinelli, M. O., Mattia, D., & Cincotti, F. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00732 · Cited by 162 · see citing works
A review of rapid serial visual presentation-based brain–computer interfaces
Lees, S., Dayan, N., Cecotti, H., McCullagh, P., Maguire, L., Lotte, F., & Coyle, D. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9817 · Cited by 149 · see citing works
Influence of caffeine on information processing stages in well rested and fatigued subjects
Lorist, M. M., Snel, J., & Kok, A. (1994) · Psychopharmacology · doi:10.1007/bf02245217 · Cited by 133 · see citing works
Cecotti, H., Eckstein, M. P., & Giesbrecht, B. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2302898 · Cited by 109 · see citing works
Bornemann, B., Winkielman, P., & der Meer, E. V. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.04.007 · Cited by 104 · see citing works
Euser, A. S., Arends, L. R., Evans, B. E., Greaves-Lord, K., Huizink, A. C., & Franken, I. H. A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.09.002 · Cited by 100 · see citing works
Glutamatergic Modulation of Auditory Information Processing in the Human Brain
Gunduz-Bruce, H., Reinhart, R. M. G., Roach, B. J., Gueorguieva, R., Oliver, S., D'Souza, D. C., Ford, J. M., Krystal, J. H., & Mathalon, D. H. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.031 · Cited by 93 · see citing works
P300 amplitude variations, prior probabilities, and likelihoods: a Bayesian ERP study
Kopp, B., Seer, C., Lange, F., Kluytmans, A., Kolossa, A., Fingscheidt, T., & Hoijtink, H. (2016) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-016-0442-3 · Cited by 60 · see citing works
When it’s time for a change: failures to track context in schizophrenia
Ford, J. M., Roach, B. J., Miller, R. M., Duncan, C. C., Hoffman, R. E., & Mathalon, D. H. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.05.005 · Cited by 43 · see citing works
Neuropsychological effects of vasopressin in healthy humans
Born, J., Pietrowsky, R., & L. Fehm, H. (1999) · Progress in brain research · doi:10.1016/s0079-6123(08)61595-2 · Cited by 42 · see citing works
Bhakta, S. G., Cavanagh, J. F., Talledo, J. A., Kotz, J. E., Benster, L., Roberts, B. Z., Nungaray, J. A., Brigman, J. L., Light, G. A., Swerdlow, N. R., et al. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01257-2 · Cited by 13 · see citing works
- Authors
- Johnson, R.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Johnson, Ray
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 1986-07
- Volume
- 23
- Issue
- 4
- Pages
- 367-384
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W1509900640
- Cited by
- 960
- References
- 4
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 18 · 2023: 19 · 2022: 15 · 2021: 26 · 2020: 26 · 2019: 28 · 2018: 18 · 2017: 28 · 2016: 23 · 2015: 38 · 2014: 33 · 2013: 36 · 2012: 29
- FWCI
- 13.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- 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, P300 amplitude, subjective probability, stimulus meaning, information transmission, event-related potentials
- MeSH terms
- Arousal, Attention, Cerebral Cortex, Electroencephalography, Evoked Potentials, Humans, Reaction Time
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