A computational model of anterior cingulate function in speeded response tasks: Effects of frequency, sequence, and conflict — TEI-tagged view

Jones, Cho, Nystrom, Cohen, Braver · 2002 · neuroscience · doi:10.3758/cabn.2.4.300 · full text at the source · TEI xml · tagged edition · index · concepts · authors
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.
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, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
response conflict anterior cingulate cortex3 cognitive control6 conflict model simulation51

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonresponse conflict monitoring in anterior cingulate cortex— “Specifically, we have hypothesized that the function of the ACC is to provide an on-line index of the degree of response conflict.”
claim-typemechanism— “The results indicate that the conflict-monitoring hypothesis, augmented by mechanisms for encoding stimulus history, can explain key phenomena associated with performance in sequential speeded response tasks.”
method — evidence— “Simulations conducted in a neural network model incorporating sequential priming mechanisms (developed in Cho et al., 2002) confirmed that a computational measure of response conflict was higher on low-frequency trials across all three tasks.”
mechanismRepeated 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.— “Specifically, in the model, repeated presentations of high-frequency stimuli create an expectancy for continued future repetitions, which results in residual activity in the expected stimulus– response pathway.”mechanisms[0]
mechanismConflict at the decision layer produces ACC-indexed signal that lowers strategic priming, which raises control (slower, more accurate responding) on subsequent trials.— “The role of the conflict detector was to increase control by decreasing strategic priming in response to conflict.”mechanisms[1]
mechanismBecause 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.— “The difference in behavioral profiles across the two tasks is captured in the model by the simple fact that premature activation of the incorrect nontarget decision layer unit does not result in an overt behavior under a one-response task situation.”mechanisms[2]
extends Cho et al. (2002) sequential-priming choice-discrimination model— “The present model extends this previous work by adding the conflict-control loop (Botvinick et al., 2001) into the Cho et al. model.”claim_relations[0]
builds-on Usher and McClelland (2001) leaky competing accumulator architecture— “As was mentioned above, the basic architecture was developed in Usher and McClelland (2001) and was extended by Botvinick et al. (2001) and Cho et al. (2002).”claim_relations[1]
builds-on Braver, Barch, Gray, Molfese, and Snyder (2001) neuroimaging dataset— “The neuroimaging data used for the present study were originally reported in Braver et al. (2001).”claim_relations[2]
senseTHE 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— “indicates that the anterior cingulate cortex (ACC) detects the presence of response conflict and conveys this information to other brain regions, enabling subsequent adjustments in cognitive control.”senses[0]
senseAND 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— “In addition, the model captured detailed aspects of behavioral reaction time and accuracy data, predicted the dynamics of ACC activity related to trial sequence effects, and provided evidence for the functional role of conflict information in performance monitoring and optimization.”senses[1]
senseTHE ORDER OF EVENTS IS REPORTED HONESTLY, WHICH IS RARER THAN IT SHOULD BE: `In order to test this idea, however, existing implementations of the conflict model had to be augmented so as to be responsive to the effects of stimulus frequency on processing.` 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— “In order to test this idea, however, existing implementations of the conflict model had to be augmented so as to be responsive to the effects of stimulus frequency on processing.”senses[2]
controlthe mapping of stimuli onto the target and nontarget categories was counterbalanced across subjects — held — rules out that a category effect is a stimulus effect - that the target set is simply easier— “However, the mapping of stimuli to target/R1 and nontarget/ R2 categories was counterbalanced across subjects.”controls[0]
auditresponse conflict —causes→ cognitive control — 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.— “indicates that the anterior cingulate cortex (ACC) detects the presence of response conflict and conveys this information to other brain regions, enabling subsequent adjustments in cognitive control.”concept_edges[1]
effect direction (stated by the tagger, no quotation)response conflict —causes→ cognitive control — increasesconcept_edges[1]
noteresponse conflict —causes→ cognitive control — 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.— “indicates that the anterior cingulate cortex (ACC) detects the presence of response conflict and conveys this information to other brain regions, enabling subsequent adjustments in cognitive control.”concept_edges[1]
weightresponse conflict —causes→ cognitive control — 0.95— “indicates that the anterior cingulate cortex (ACC) detects the presence of response conflict and conveys this information to other brain regions, enabling subsequent adjustments in cognitive control.”concept_edges[1]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — 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— “Although these numbers indicate a somewhat low fit, it is important to note that noise processes in humans (which are poorly understood) may make a significant contribution to trialby-trial behavioral performance.”limitations[0]
for which uselimitation — 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— “This analysis was complicated by our use of rapid event-related fMRI and the slow evolution of the hemodynamic response.”limitations[1]
for which uselimitation — 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— “The present study was not intended to provide a complete account of the myriad processes that contribute to cognitive control.”limitations[2]
replicationuntested
limitationThe trial-by-trial fit of the model to individual subjects' behaviour is low, which the authors attribute partly to unsimulated human noise processes.— “Although these numbers indicate a somewhat low fit, it is important to note that noise processes in humans (which are poorly understood) may make a significant contribution to trialby-trial behavioral performance.”limitations[0]
limitationThe imaging reanalysis testing the sequence prediction was hampered by hemodynamic overlap in rapid event-related fMRI.— “This analysis was complicated by our use of rapid event-related fMRI and the slow evolution of the hemodynamic response.”limitations[1]
limitationThe model covers only a specific type of control, not cognitive control in general.— “The present study was not intended to provide a complete account of the myriad processes that contribute to cognitive control.”limitations[2]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingSimulated conflict was significantly greater for low- than for high-frequency events in all task conditions.— “There was significantly greater conflict for low- versus high-frequency events in all task conditions (all ps , .001).”content_tags.findings[0]
findingThe 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.— “In this condition, low-frequency responses were nearly perfectly accurate and were not significantly different from responses to high-frequency [F(1,63) = 0.297, p = .588] or equal-frequency [F(1,63) = 0.133, p = .717] events.”content_tags.findings[1]
findingConflict tracked not only global stimulus frequency but also the local sequential history of stimuli.— “The high correlation observed between conflict and empirical data behavioral performance (accuracy, r = .934; RT, r = .891) indicates that conflict not only tracks global frequency but also the local sequential history of stimuli.”content_tags.findings[2]
findingEmpirical ACC data matched the model's conflict predictions (r = .856), accounting for 73% of the variance in the sequential pattern.— “the empirical data from the ACC corresponds rather well with the conflict predictions obtained from the model (r = .856, p , .001), accounting for 73% of the variance present in the sequential pattern of ACC activation”content_tags.findings[3]
findingTrials whose four preceding stimuli were repetitions had the fastest reaction times and fewest errors, in both human and simulated data.— “In fact, the four categories ending in RR had the four lowest RTs and error rates in both the behavioral and the simulated data.”content_tags.findings[4]
findingWithout the conflict-monitoring control loop the model predicted performance slightly less well, indicating the loop contributes.— “The performance of the model with no conflictmonitoring control loop was slightly less effective at predicting performance, thus indicating a contribution of this component of the model.”content_tags.findings[5]
findingSubjects showed significant adjustments in RT after errors and in error rate after slow trials.— “There were significant adjustments in RT following errors [t(60) = 6.50, p , .001], in error rate following slow RT trials [t(64) = 25.76, p , .001], and in both RT and error rate following fast RT trials [RT, t(64) = 22.6, p , .01; error rate, t(64) = 4.81, p , .001].”content_tags.findings[6]
quantity65 subjects / 14 subjects — sample sizes of the behavioral and the neuroimaging studies whose data the simulations were fitted to— “There were 65 subjects (47 females and 18 males; mean age, 19.3 years; range, 17 –25 years) in the behavioral study and 14 subjects (5 males and 9 females; mean age, 22.9 years; range, 18–27 years) in the neuroimaging study.”content_tags.quantities[0]
quantity17%, 50%, 83% — the three target-frequency conditions used in each version of the task— “Each version of the task (one-response, two-response) had three frequency conditions: low-frequency target/R1 (target = 17%), equalfrequency (target = 50%), and low-frequency nontarget/ R2 (target = 83%).”content_tags.quantities[1]
quantityr = .856 ... 73% — correlation between simulated conflict and reanalyzed ACC activity across matched sequence pairs, and the share of variance it explains— “the empirical data from the ACC corresponds rather well with the conflict predictions obtained from the model (r = .856, p , .001), accounting for 73% of the variance present in the sequential pattern of ACC activation”content_tags.quantities[2]
quantity16.6% / 6.8% — variance in trial-by-trial reaction time and in error explained by the full model— “the model accounts for 16.6% of the variance present in the RT and 6.8% of the variance present in error”content_tags.quantities[3]
quantity2.5% / 1.5% — the small but reliable extra variance attributable specifically to the conflict-control loop— “Thus, although the conflictcontrol effect was rather small—accounting for 2.5% of the total variation in the subjects’ RT scores and 1.5% of variance in error rates—it was highly reliable.”content_tags.quantities[4]
quantity64 out of 65 — subjects for whom adding the conflict-control loop improved the model's RT predictioncontent_tags.quantities[5]
quantityF(1,63) = 9,143 — test that the low-vs-high frequency conflict difference exceeded the difference under equal frequencycontent_tags.quantities[6]
variablestimulus frequency (independent)content_tags.variables[0]
variablesequential history (independent)content_tags.variables[2]
variablereaction time and error rate (dependent)content_tags.variables[3]
variableACC activity (dependent)content_tags.variables[4]
variablesimulated conflict (dependent)
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content_tags.variables[5]
variablelesioned model (control)
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definitionresponse conflict
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content_tags.definitions[1]
definitionrepetition priming and alternation priming
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content_tags.definitions[2]
definitionconflict
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Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptresponse conflict — not defined in this paper's own words; simultaneous activation of incompatible response tendencies. Defined by what is competing, not by how it feels or how hard the task is - 'conflict between different response tendencies' - which is what lets it be computed from a model's activation values rather than rated by a subject
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[0]
conceptanterior cingulate cortex — not defined in this paper's own words; the region the account assigns a job to. Not 'active during conflict' but DETECTS and CONVEYS - a monitor with an output, which is what makes the claim testable and what lets this paper go on to ask whether the signal is functionally relevant rather than merely correlated
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concepts[1]
conceptcognitive control — not defined in this paper's own words; the downstream adjustment the conflict signal is supposed to trigger. The end of a three-step chain - detect, convey, adjust - and the step that makes conflict monitoring a control theory rather than a description of when a region lights up
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concepts[2]
conceptconflict model — not defined in this paper's own words; the computational implementation. And the paper says out loud that it did not already handle frequency: 'existing implementations of the conflict model had to be augmented so as to be responsive to the effects of stimulus frequency'. The extension precedes the fit and the paper reports them in that order
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concepts[3]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
ANOVA F as written: F(1,63)
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content_tags.statistics[0]
correlation r as written: 16-point correlation coefficient
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partial correlation
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confidence interval as written: 99% confidence interval
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standard score (z score) z as written: z scores
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t-test t as written: t(64)
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content_tags.statistics[5]
p-value p as written: all ps , .001
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mean as written: mean RT and percentage of error
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content_tags.statistics[7]

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