A computational model of anterior cingulate function in speeded response tasks: Effects of frequency, sequence, and conflict

Jones, Cho, Nystrom, Cohen, Braver · Cognitive, Affective, & Behavioral Neuroscience · 2002 · neuroscience · 10.3758/cabn.2.4.300 · record Jones2002-a-computational-model-of-anterior-cingulate
tag layer · index · concepts · authors · עברית
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. Claim type could arguably be 'method' (the deliverable is a computational model), but the model is deployed to explain WHY ACC activity tracks low-frequency stimuli via sequential priming and conflict, so the shape is mechanistic. The paper is a hybrid: simulation is the new work, but it re-analyses previously published fMRI (Braver et al., 2001) and pilot behavioural data, which the single 'method' facet cannot express. The paper also frames one result as a novel prediction ('that it is the local sequential history, rather than global frequency, that should drive modulations in ACC activity'), i.e. a prediction facet is present as a secondary claim. 2026-08-19 and 2026-08-25 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
2 quotes on this page break a word across a line. The PDF this text was extracted from hyphenated those words at the end of a printed line — adversar- ial, repre- sentations — and the extractor kept the hyphen and the space. The quotes keep them because a quote is reproduced exactly or it proves nothing: the break is the typesetter’s, not the author’s. A search of this page will not find the affected words.
How to read this page. The article itself is not reproduced here — this paper is not cleared for redistribution, so what follows is the tag layer alone. The evidence sentences are withheld with the article. The table at the foot lists every tag the record carries; each row names the facet it belongs to, and the whose words column says whether the tag records the paper's own wording or the tagger's sentence about the paper. Every tag links to each other paper in the corpus carrying it. The machine-readable edition of the same thing is the TEI file beside this one, where the tags live in standOff, and the article is at its publisher via the link below. When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.
Other fields define these differently the same word, defined another way in another discipline
confidence interval 2 fields · simulation 2 fields

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 4 concept tags on this paper, all 4 are grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
response conflict anterior cingulate cortex cognitive control conflict model Repeated high-frequency stimuli build residual activation (an expectancy) in one stimulus-response pathway, so a low-frequency stimulus must overcome that preactivation, and the resulting competition is what registers as conflict in ACC. Conflict at the decision layer produces ACC-indexed signal that lowers strategic priming, which raises control (slower, more accurate responding) on subsequent trials. Because the incorrect nontarget decision unit in one-response tasks is not connected to a response execution unit, transient wrong-channel activation never becomes an overt error, so the task difference arises downstream of conflict detection rather than at it. repetition priming and alternation priming conflict stimulus frequency sequential history reaction time and error rate ACC activity simulated conflict lesioned model ANOVA correlation partial correlation confidence interval standard score (z score) z scores t-test p-value mean mean RT and percentage of error simulation

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relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
phenomenonphenomenonthe effect or regularity under study
sensesensesa distinct use of a term, quoted where the paper fixes it

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.3758/cabn.2.4.300. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 3 · claim_type 1 · concept_edges 1 · concepts 4 · content_tags 31 · controls 1 · limitations 3 · mechanisms 3 · method 1 · phenomenon 1 · senses 3

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; none of 1 relation here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
claim_typemechanism
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claim_typethe paper's words
phenomenonresponse conflict monitoring in anterior cingulate cortex
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phenomenonthe paper's words
methodsimulation
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also in: simulation
methodthe paper's words
mechanismsmechanisms
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mechanisms[0]the tagger's words
mechanismsmechanisms
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mechanisms[1]the tagger's words
mechanismsmechanisms
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mechanisms[2]the tagger's words
limitationsThe trial-by-trial fit of the model to individual subjects' behaviour is low, which the authors attribute partly to unsimulated human noise processes.
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what this limits: the trial-by-trial fit to individual behaviour: ALTHOUGH THESE NUMBERS INDICATE A SOMEWHAT LOW FIT, NOISE PROCESSES IN HUMANS (WHICH ARE POORLY UNDERSTOOD) MAY MAKE A SIGNIFICANT CONTRIBUTION TO TRIAL-BY-TRIAL BEHAVIORAL PERFORMANCE
limitations[0]the tagger's words
limitationsThe imaging reanalysis testing the sequence prediction was hampered by hemodynamic overlap in rapid event-related fMRI.
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what this limits: the imaging test of the sequence prediction: THIS ANALYSIS WAS COMPLICATED BY OUR USE OF RAPID EVENT-RELATED fMRI AND THE SLOW EVOLUTION OF THE HEMODYNAMIC RESPONSE
limitations[1]the tagger's words
limitationsThe model covers only a specific type of control, not cognitive control in general.
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what this limits: the model's coverage, bounded by the authors: THE PRESENT STUDY WAS NOT INTENDED TO PROVIDE A COMPLETE ACCOUNT OF THE MYRIAD PROCESSES THAT CONTRIBUTE TO COGNITIVE CONTROL
limitations[2]the tagger's words
controlsthe mapping of stimuli onto the target and nontarget categories was counterbalanced across subjects
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eliminates: that a category effect is a stimulus effect - that the target set is simply easier · outcome (stated by the tagger, no quotation): held
controls[0]0.95the tagger's words
conceptsresponse conflict
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concepts[0]0.95the paper's words
conceptsanterior cingulate cortex
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concepts[1]0.95the paper's words
conceptscognitive control
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concepts[2]0.95the paper's words
conceptsconflict model
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concepts[3]0.95the paper's words
sensesTHE MECHANISM IS A CHAIN OF THREE VERBS AND EACH ONE IS DOING WORK: the ACC `detects the presence of response conflict and conveys this information to other brain regions, enabling subsequent adjustments in cognitive control`. Detect, convey, adjust. A claim that a region is `active during` something cannot be wrong in an interesting way; this one can - it predicts that the signal precedes the adjustment, that removing it removes the adjustment, and that its size tracks the amount of competition rather than the difficulty
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senses[0]0.95the tagger's words
sensesAND IT MEETS erb2019 HEAD-ON WITHOUT EITHER PAPER KNOWING. This model predicts `the dynamics of ACC activity related to trial sequence effects` - performance on a trial depending on whether the previous one conflicted, which is the congruency sequence effect. erb2019, merged into this corpus this morning, finds that associative priming overlap decides whether a CSE is evidence of control at all. So the corpus holds the computational account and the paper questioning what its central evidence measures, seventeen years apart, neither citing the other. This sense was first attached to the conflict-theory sentence, which does not contain the words `trial sequence effects` at all - the audit caught it before the gate did, which is the one step in this pipeline that has no automated equivalent
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senses[1]0.95the tagger's words
sensesTHE ORDER OF EVENTS IS REPORTED HONESTLY, WHICH IS RARER THAN IT SHOULD BE: `Quotation withheld` The model did not handle frequency; it was extended; then it fitted. A model extended to fit the data it then fits is a weaker result than one that predicted it, and stating the sequence lets a reader price that difference instead of having to reconstruct it from the methods
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senses[2]0.85the tagger's words
claim_relationsextends → Cho et al. (2002) sequential-priming choice-discrimination model
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claim_relations[0]the tagger's words
claim_relationsbuilds-on → Usher and McClelland (2001) leaky competing accumulator architecture
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claim_relations[1]the tagger's words
claim_relationsbuilds-on → Braver, Barch, Gray, Molfese, and Snyder (2001) neuroimaging dataset
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claim_relations[2]the tagger's words
concept_edgesresponse conflict —causes→ cognitive control
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direction on the measure: increases · strength of the relation: 0.95 · direction on the measure (stated by the tagger, no quotation): increases · note: THIS IS THE WHOLE ACCOUNT IN ONE TRIPLE AND IT IS THE STRONGER OF THE TWO. 'enabling subsequent…' - conflict is detected, and control changes as a result. Weight 0.95: both endpoints named as words, the causal direction is explicit in 'enabling subsequent', and the sentence is the paper's summary of an established body of evidence rather than a hedge. The ACC sits between the two endpoints in the same sentence and is deliberately not in this triple - it is the route, not a term of the relation, and putting it in would make a three-place claim into a two-place one and lose which part is which. Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but conflict detection ENABLES ADJUSTMENTS in cognitive control; the 'increases' sign is not stated.
concept_edges[1]0.95the tagger's words
content_tagsANOVA
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also in: ANOVA
content_tags.statistics[0]the tagger's words
content_tagscorrelation
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also in: correlation
content_tags.statistics[1]the tagger's words
content_tagspartial correlation
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content_tags.statistics[2]the tagger's words
content_tagsconfidence interval
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content_tags.statistics[3]the tagger's words
content_tagsstandard score (z score)
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content_tags.statistics[4]the tagger's words
content_tagst-test
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also in: t-test
content_tags.statistics[5]the tagger's words
content_tagsp-value
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also in: p-value
content_tags.statistics[6]the tagger's words
content_tagsmean
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also in: mean
content_tags.statistics[7]the tagger's words
content_tagsSimulated conflict was significantly greater for low- than for high-frequency events in all task conditions.
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content_tags.findings[0]the tagger's words
content_tagsThe model reproduced the puzzling exception that accuracy to low-frequency targets in the oddball (one-response) task is near perfect and not degraded by low frequency.
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content_tags.findings[1]the tagger's words
content_tagsConflict tracked not only global stimulus frequency but also the local sequential history of stimuli.
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content_tags.findings[2]the tagger's words
content_tagsEmpirical ACC data matched the model's conflict predictions (r = .856), accounting for 73% of the variance in the sequential pattern.
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content_tags.findings[3]the tagger's words
content_tagsTrials whose four preceding stimuli were repetitions had the fastest reaction times and fewest errors, in both human and simulated data.
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content_tags.findings[4]the tagger's words
content_tagsWithout the conflict-monitoring control loop the model predicted performance slightly less well, indicating the loop contributes.
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content_tags.findings[5]the tagger's words
content_tagsSubjects showed significant adjustments in RT after errors and in error rate after slow trials.
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content_tags.findings[6]the tagger's words
content_tagsresponse conflict
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content_tags.definitions[1]the tagger's words
content_tagsrepetition priming and alternation priming
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content_tags.definitions[2]the tagger's words
content_tagsconflict
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also in: conflict
content_tags.definitions[3]the tagger's words
content_tagsstimulus frequency
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content_tags.variables[0]the tagger's words
content_tagssequential history
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content_tags.variables[2]the tagger's words
content_tagsreaction time and error rate
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content_tags.variables[3]the tagger's words
content_tagsACC activity
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also in: ACC activity
content_tags.variables[4]the tagger's words
content_tagssimulated conflict
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content_tags.variables[5]the tagger's words
content_tagslesioned model
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content_tags.variables[6]the tagger's words
content_tags65 subjects / 14 subjects — sample sizes of the behavioral and the neuroimaging studies whose data the simulations were fitted to
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content_tags.quantities[0]the tagger's words
content_tags17%, 50%, 83% — the three target-frequency conditions used in each version of the task
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content_tags.quantities[1]the tagger's words
content_tagsr = .856 ... 73% — correlation between simulated conflict and reanalyzed ACC activity across matched sequence pairs, and the share of variance it explains
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content_tags.quantities[2]the tagger's words
content_tags16.6% / 6.8% — variance in trial-by-trial reaction time and in error explained by the full model
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content_tags.quantities[3]the tagger's words
content_tags2.5% / 1.5% — the small but reliable extra variance attributable specifically to the conflict-control loop
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content_tags.quantities[4]the tagger's words
content_tags64 out of 65 — subjects for whom adding the conflict-control loop improved the model's RT prediction
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content_tags.quantities[5]the tagger's words
content_tagsF(1,63) = 9,143 — test that the low-vs-high frequency conflict difference exceeded the difference under equal frequency
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content_tags.quantities[6]the tagger's words

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