Oscillatory patterns in temporal lobe reveal context reinstatement during memory search — TEI-tagged view

Manning, Polyn, Baltuch, Litt, Kahana · 2011 · neuroscience · doi:10.1073/pnas.1015174108 · 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 (html); every evidence string verified as an exact substring of that text before merging. The paper also ran three neural-network simulations to contrast autocorrelated-noise, content-reinstatement and context-reinstatement accounts ('We conducted three neural network simulations to contrast the predictions of three models of the observed feature vector dynamics'), so the single 'method' value understates it: the study is electrophysiology plus simulation plus behavioural free recall. A third relation was considered and deliberately dropped: the paper argues against a rehearsal-based alternative ('suggesting that rehearsal during study, per se, is unlikely to account for our findings'), but the only sentence naming that literature ('Rehearsal-based models have been shown to be difficult to distinguish from context-based models ( 34 , 35 )...') relates two prior literatures to each other rather than relating this paper to them, so recording it as a 'contradicts' would have been an inference. Note the PMC extraction inserts spaces inside citation parentheses, e.g. '( 1 , 5 , 6 , 24 )'; the quotes preserve that spacing exactly. Named prior work is mostly numbered rather than named in-text, which limits how specifically claim relations targets can be labelled from the article text alone. 2026-08-12 schema-0.3 pass: 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.
21 quotations on this page contain a reference number where the paper printed a superscript. This journal style prints citations as raised numerals — parameters12,13 — and the extraction flattened them into the line, so the sentence reads parameters 12 , 13 . The digits are citation markers and not part of what the author wrote. The quotes keep them for the same reason they keep every other extraction fault: a quote is reproduced exactly or it proves nothing.
Other fields define these differently the same word, defined another way in another discipline
context 10 fields · EEG 4 fields · semantic memory 4 fields · episodic memory 3 fields · SEM 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
context reinstatement temporal context3 episodic memory15 semantic memory8 contiguity effect2 temporal clustering free recall6 cued recall lag4 feature vectors principal components analysis7 neural similarity2 electrocorticographic oscillatory power autocorrelation5 primacy effect2 content reinstatement autocorrelated noise retrieved context theories rehearsal-based models mental time travel2 temporal lobe frontal lobe medial temporal lobe8 serial position3 Kaiser criterion electrophysiology110

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
phenomenontemporal context reinstatement during memory search— “We sought to determine whether context reinstatement may be observed in electrical signals recorded from the human brain during episodic recall.”
claim-typeexistence— “Analyzing electrocorticographic recordings taken as 69 neurosurgical patients studied and recalled lists of words, we uncovered a neural signature of context reinstatement.”
method — evidence— “To test the context reinstatement hypothesis, we studied 69 neurosurgical patients who were implanted with subdural electrode arrays and depth electrodes during treatment for drug-resistant epilepsy.”
object of study — evidence— “We sought to determine whether context reinstatement may be observed in electrical signals recorded from the human brain during episodic recall.”
research question — evidence— “Although this behavioral evidence provides indirect support for context-based theories of memory, there is no direct neurophysiological evidence for contextual reinstatement.”
contribution — evidence— “Upon recalling a studied item, we found that the recorded patterns of brain activity were not only similar to the patterns observed when the item was studied, but were also similar to the patterns observed during study of neighboring list items, with similarity decreasing reliably with positional distance.”
transferfrom multivariate statistics: principal components analysis and the Kaiser criterion, used to turn thousands of correlated frequency-electrode measurements into a small orthogonal basis in which event-to-event similarity is preserved— “In this way, each component reflects a linear combination of the power in each frequency band across all recording electrodes, such that the pairwise neural similarities between events are preserved.”transfers[0]
transferfrom connectionist modelling: a 20-neuron simulated network, used not to model the brain but to derive what each competing account would predict for the lag profile— “Pattern of activations for a simulated 20-neuron neural network as a 15-item list is studied.”transfers[1]
transferfrom signal processing: the Hilbert transform on band-passed signals, with power computed across the whole session before segmentation specifically to avoid edge artifacts— “To reduce edge artifacts, we computed power at each frequency for the entire recording session before parsing the recordings into experimental events.”transfers[2]
mechanismRecalling an item revives the contextual state bound to it at study, and that retrieved context then cues other items encoded in similar contexts, which is what produces the contiguity effect.— “This retrieved context, in turn, activates other memories that were associated with similar contexts, producing the contiguity effect seen in recall tasks ( Fig. 4 B ).”mechanisms[0]
mechanismA slowly drifting contextual state becomes associated with each event as it is experienced, so that later recall of the event reinstates that state.— “These theories posit that a gradually changing contextual state becomes associated with each experienced event, and that recalling an event revives the contextual state associated with the original experience.”mechanisms[1]
mechanismcontext is operationalised by a property the theory predicts — slow drift — so the features analysed are exactly those that could carry a context signal— “we selected PCA-derived features from study events that showed significant positive autocorrelations ( Materials and Methods ), a defining feature of temporal context, for further analysis”mechanisms[2]
mechanismthe circularity that would create is blocked by splitting selection from test: the filter is fitted on study events only, and the hypothesis is tested on recall events— “To prevent selection bias, recall events were not used in the feature selection process.”mechanisms[3]
mechanismthe filter's cost is stated rather than hidden — removing content information also removes the forward asymmetry the behavioural effect shows, so a known feature of the phenomenon is invisible by construction— “In this way, if our feature selection framework filters out content information, one would not expect to see asymmetry in the neural data (further discussion is provided in SI Materials and Methods ).”mechanisms[4]
mechanismthe discriminating prediction is bidirectional decay: content reinstatement alone predicts a forward boost, autocorrelated noise predicts no lag structure, and only context predicts symmetric decay— “Of these three simulations, only the context reinstatement model predicts that neural similarity will decrease substantially with absolute lag in both the positive and negative directions, as observed in the neural data (further details and discussion are provided in SI Materials and Methods ).”mechanisms[5]
mechanismrival accounts are built and run rather than argued against — three neural network simulations using the same presented and recalled items as the real analysismechanisms[6]
mechanismthe rehearsal alternative is tested through a consequence it would have elsewhere: if rehearsal drove the effect, neural contiguity should track the primacy effect, and it does notmechanisms[7]
mechanismindividual differences carry the inference: the same patients supply both the neural measure and the behavioural one, so the two can be correlated across people rather than compared as group means
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mechanisms[8]
mechanisma gradual-drift result is treated as insufficient on its own, because ordinary autocorrelated processes would produce it too
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mechanisms[9]
mechanismonly negative lags are used for the reinstatement measure, because forward lags cannot separate content from context
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mechanisms[10]
mechanismthe inclusion threshold is justified as an explicit trade-off between dimensionality and sample size rather than presented as a natural cutoff
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mechanisms[11]
builds-on retrieved context theories of episodic memory (refs 1, 5, 6, 24)
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claim_relations[0]
builds-on Tulving (ref 2) - episodic retrieval as mental time travel
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claim_relations[1]
supports retrieved context theories of episodic memory (refs 1, 5, 6, 24), by supplying the neurophysiological evidence they lacked
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claim_relations[2]
extends prior demonstrations that an item's own representation is reinstated at recall (refs 25, 26), by showing the neighbours' representations return too
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claim_relations[3]
contradicts theories deriving contiguity from direct item-to-item associations formed within seconds (refs 11–14)
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claim_relations[4]
critiques rehearsal-based accounts of the neural contiguity effect, via the absent primacy correlation
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claim_relations[5]
supports Tulving's characterisation of episodic retrieval as mental time travel
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claim_relations[6]
builds-on the hypothesis that medial temporal lobe and prefrontal cortex maintain and update temporal context
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claim_relations[7]
sensecontext — as external environmental conditions versus as an internal, ever-changing mental state; the paper's theory requires both
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senses[0]
sensecontext — operationalised: the principal components whose activity is positively autocorrelated during study, and nothing else
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senses[1]
sensereinstatement — of content (the item's own representation) versus of context (the states of its neighbours); the whole design exists to separate these
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senses[2]
sensecontiguity effect — behavioural (transitions between neighbouring items at recall) versus neural (similarity declining with absolute lag); the paper coins the second and correlates the two
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senses[3]
sensecontextual features — as environmental cues, as recently studied items, as internal mental states, or as a process evolving randomly; four readings the founding theories left open
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senses[4]
sensegradual change — as evidence for context versus as the signature of any autocorrelated process; the paper insists the first requires more than the second
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senses[5]
controlthe analysis checked against rehearsal during study as an alternative source of the temporal context effect — held — rules out rehearsal, per se, as the explanation of the neural context-reinstatement finding - the paper reports the check came back against it
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controls[0]
controlthe feature vectors given enough dimensions that a neural signature of context reinstatement could be observed at all if it were there — held — rules out a null that means the measure could not have detected the effect rather than that the effect is absent
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controls[1]
auditcontext reinstatement —causes→ contiguity effect — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but models 'SUGGEST' that contextual reinstatement underlies the contiguity effect; causes is hedged.
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concept_edges[0]
weightcontext reinstatement —causes→ contiguity effect — 0.8
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concept_edges[0]
weightcontiguity effect —is-a→ temporal clustering — 0.95
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concept_edges[1]
weightepisodic memory —contrasted-with→ semantic memory — 0.95
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concept_edges[2]
edgecontent reinstatement —distinct-from→ context reinstatement
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concept_edges[3]
edgetemporal context —operationalised-as→ autocorrelation
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concept_edges[4]
audittemporal context —operationalised-as→ feature vectors — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but endpoint by anaphora: autocorrelation is named 'a defining feature of temporal context' (previous sentence); operationalised-as is loose.
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concept_edges[5]
weighttemporal context —operationalised-as→ feature vectors — 0.95
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concept_edges[5]
auditcontext reinstatement —operationalised-as→ neural similarity — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but only the context-reinstatement model PREDICTS the observed neural-similarity pattern; operationalised-as is loose.
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concept_edges[6]
weightcontext reinstatement —operationalised-as→ neural similarity — 0.95
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concept_edges[6]
weightfree recall —contrasted-with→ cued recall — 0.9
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concept_edges[9]
weightmedial temporal lobe —part-of→ temporal lobe — 0.95
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concept_edges[10]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
outcome (stated by the tagger, no quotation)control — heldcontrols[1]
for which uselimitation — the parietal and occipital results: OUR FINDINGS IN THE PARIETAL AND OCCIPITAL LOBES WERE INCONCLUSIVE DUE TO INSUFFICIENT DATA
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limitations[0]
for which uselimitation — the extratemporal null: OUR INABILITY TO FIND NEURAL SIGNATURES OF CONTEXT REINSTATEMENT IN EXTRATEMPORAL BRAIN REGIONS DOES NOT NECESSARILY MEAN THAT THOSE REGIONS ARE NOT INVOLVED IN CONTEXT REINSTATEMENT
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limitations[1]
for which uselimitation — any structure-level claim: OUR ANALYSIS DOES NOT DISTINGUISH BETWEEN STRUCTURES CONTAINED WITHIN THE REGIONS OF INTEREST WE EXAMINED
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limitations[2]
for which uselimitation — the analysed sample: WE FURTHER EXCLUDED AN ADDITIONAL 68 SESSIONS IN WHICH FEWER THAN FIVE CANDIDATE CONTEXT FEATURES WERE IDENTIFIED
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limitations[3]
duplicate oflimitation — limitations[1]
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limitations[4]
for which uselimitation — the same scope as limitations[1] - absence of evidence is not read as evidence of absence
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limitations[4]
for which uselimitation — the same scope as limitations[2] - the regions of interest are too coarse to name a structure
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limitations[5]
for which uselimitation — the same scope as limitations[0] - two of the four lobes could not be assessed
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limitations[6]
for which uselimitation — the full attrition behind every result: FEATURES ... WERE IDENTIFIED IN 132 (OF 144) RECORDING SESSIONS, then 68 MORE WERE EXCLUDED for having fewer than five features
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limitations[7]
for which uselimitation — any claim that separates the two accounts: REHEARSAL-BASED MODELS HAVE BEEN SHOWN TO BE DIFFICULT TO DISTINGUISH FROM CONTEXT-BASED MODELS
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limitations[8]
for which uselimitation — the primacy-based control: ALTHOUGH REHEARSAL IS ONE OF THE HYPOTHESIZED MECHANISMS UNDERLYING PRIMACY, WE RECOGNIZE THAT OTHER FACTORS, SUCH AS ENHANCED ATTENTION TO EARLY LIST ITEMS, MAY ALSO CONTRIBUTE TO PRIMACY
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limitations[9]
for which uselimitation — which regions could be sampled at all: THE CLINICAL TEAM DETERMINED THE PLACEMENT OF THESE ELECTRODES WITH THE GOAL OF LOCALIZING SUSPECTED EPILEPTOGENIC FOCI AND IDENTIFYING FUNCTIONAL REGIONS TO BE AVOIDED IN SURGERY
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limitations[10]
replicationuntested
no type for thisRehearsal-based models → context-based models — THE TWO CANNOT BE SEPARATED IN THIS STUDY - the DESIGN form / It bounds what the paper's own results can mean, and it lives in a methods paragraph where nothing downstream will find it. TWO MODEL CLASSES THAT CANNOT BE TOLD APART BY THE DATA, with the reason given: a context-based mechanism is needed to explain the rehearsal pattern, so the two are entangled by construction.
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unhoused_relations[0]
limitationParietal and occipital results were inconclusive because of insufficient data.
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limitations[0]
limitationNull results outside temporal lobe do not establish that other regions are uninvolved.
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limitations[1]
limitationThe analysis cannot resolve structures within the coarse regions of interest.
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limitations[2]
limitationA large share of recording sessions was discarded for having too few candidate context features.
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limitations[3]
limitationa null in other regions is not read as evidence of absence
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limitations[4]
limitationthe regions of interest are too coarse to identify a structure
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limitations[5]
limitationtwo of the four regions could not be assessed
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limitations[6]
limitationsubstantial attrition: features were found in 132 of 144 sessions, then 68 further sessions were dropped for having fewer than five
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limitations[7]
limitationrehearsal-based and context-based accounts are conceded to be hard to tell apart in principle
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limitations[8]
limitationthe primacy control rests on rehearsal being the mechanism of primacy, which the paper acknowledges is not settled
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limitations[9]
limitationelectrode placement was set by clinical need, not by the hypothesis
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limitations[10]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingNeural similarity between pairs of studied words fell off as the distance between their serial positions grew, showing that the ECoG signal drifts gradually across a list.
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content_tags.findings[0]
findingBrain activity recorded just before a word was recalled was more similar to activity during study of that same word than to activity during study of any other list word.
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content_tags.findings[1]
findingSimilarity between recall activity and study activity declined with absolute lag in both the forward and backward directions, the pattern predicted by context reinstatement rather than item-content reinstatement.
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content_tags.findings[2]
findingParticipants whose neural reinstatement effect was stronger also recalled neighbouring list items successively more often, linking the neural signature to the behavioural contiguity effect.
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content_tags.findings[3]
findingRestricting the analysis to temporal lobe electrodes still produced the graded decrease of similarity with lag in both directions.
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content_tags.findings[4]
findingThe frontal-lobe reinstatement signature showed no relationship to how strongly participants clustered their recalls in time, unlike the temporal-lobe signature.
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content_tags.findings[5]
findingPrimacy strength was unrelated to neural contiguity, arguing against rehearsal during study as the source of the reinstatement effect.
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content_tags.findings[6]
findingThe forward asymmetry that characterises behavioural contiguity was absent from the neural similarity data and from the context-reinstatement simulation.
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content_tags.findings[7]
findingAmong the autocorrelated-noise, content-reinstatement and context-reinstatement simulations, only the context-reinstatement network reproduced the observed symmetric decline of similarity with lag.
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content_tags.findings[8]
findingneural similarity between two study events fell with the positional distance between them, so the recording drifts gradually across a list
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content_tags.findings[9]
findingrecall-time activity was most similar to study of the same word, at lag zero
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content_tags.findings[10]
findingsimilarity also declined with absolute lag in both directions — the signature that separates context from content
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content_tags.findings[11]
findingpatients with a stronger neural reinstatement signature showed a stronger behavioural contiguity effect
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content_tags.findings[12]
findingthe temporal-lobe signature of context reinstatement correlated with the temporal clustering of recalls (r = 0.48)
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content_tags.findings[13]
findingthe frontal lobe signature did not track behavioural clustering
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content_tags.findings[14]
findingneural contiguity did not correlate with the primacy effect, arguing against a rehearsal account
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content_tags.findings[15]
findingthe forward asymmetry of the behavioural contiguity effect was absent from the neural data and from the context simulation alike
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content_tags.findings[16]
findingonly the context reinstatement simulation reproduced bidirectional decay; noise and content models did not
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content_tags.findings[17]
findingparticipants recalled 22.7% of studied words, with about a third of all responses being repetitions or intrusions
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content_tags.findings[18]
findingof temporal lobe electrodes, 13.9% were in hippocampus and 27.0% in other medial temporal structures
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content_tags.findings[19]
quantity69 — number of neurosurgical epilepsy patients whose intracranial recordings were analysed
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content_tags.quantities[0]
quantity22.7 ± 1.0% — proportion of studied words that participants recalled, mean ± SEM
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.
content_tags.quantities[1]
quantityr = 0.42, P = 0.007 — across-participant correlation between the whole-brain neural reinstatement measure and behavioural temporal clustering
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.
content_tags.quantities[2]
quantityr = 0.48, P = 0.03 — correlation between the temporal-lobe reinstatement signature and behavioural temporal clustering
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.
content_tags.quantities[3]
quantity1,815 / 1,737 / 512 / 138 — electrodes assigned to the temporal, frontal, parietal and occipital regions of interest
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content_tags.quantities[4]
quantity132 (of 144) — recording sessions in which gradually changing candidate context features could be identified
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content_tags.quantities[5]
quantity13.9% / 27.0% / 59.1% — share of temporal-lobe electrodes in hippocampus, in other medial temporal lobe structures, and elsewhere in temporal lobe
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content_tags.quantities[6]
quantity69 patients — neurosurgical patients recorded
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content_tags.quantities[7]
quantity39 participants — those with at least five autocorrelated features, on whom the main tests were run
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content_tags.quantities[8]
quantity132 of 144 sessions — recording sessions in which context features were found at all
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content_tags.quantities[9]
quantity68 sessions — further sessions excluded for having fewer than five candidate features
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content_tags.quantities[10]
quantityδ: 2–4 Hz, θ: 4–8 Hz, α: 8–12 Hz, β: 12–30 Hz, and γ: 30–99 Hz — the five frequency bands in which power was measured
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content_tags.quantities[11]
quantity200–1,600 ms — the study-event window relative to word onset
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content_tags.quantities[12]
quantity−600 to 200 ms — the recall-event window relative to vocalization — mostly before the word is spoken
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content_tags.quantities[13]
quantity22.7 ± 1.0% — proportion of studied words recalled
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content_tags.quantities[14]
quantity32.4 ± 2.6% — share of all responses that were repetitions or incorrect
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content_tags.quantities[15]
quantityr = 0.42, P = 0.007 — correlation between neural reinstatement and behavioural contiguity across patients
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content_tags.quantities[16]
quantityr = 0.48, P = 0.03 — the same correlation restricted to temporal lobe electrodes
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content_tags.quantities[17]
quantity1,815 / 1,737 / 512 / 138 electrodes — electrode counts in temporal, frontal, parietal and occipital regions
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.
content_tags.quantities[18]
quantity15 or 20 nouns — list length in the free recall task
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content_tags.quantities[19]
quantity1,600 ms / 800- to 1,200-ms — word presentation duration and interstimulus interval
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content_tags.quantities[20]
quantity18 s / 45 s — arithmetic distractor duration and the recall period
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content_tags.quantities[21]
quantity1 to 4 wk — duration electrodes remained implanted
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content_tags.quantities[22]
variableoscillatory power (dependent)
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content_tags.variables[2]
variablesingle-digit addition problem (control)
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content_tags.variables[5]
variablelag
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content_tags.variables[6]
variableneural similarity
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content_tags.variables[7]
variabletemporal clustering score
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content_tags.variables[8]
variablemean oscillatory power
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.
content_tags.variables[9]
variableserial position
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content_tags.variables[10]
variableregions of interest
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content_tags.variables[11]
definitioncontiguity effect
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content_tags.definitions[0]
definitionfeature vectors
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content_tags.definitions[1]
definitionlag
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content_tags.definitions[2]
definitiontemporal clustering score
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content_tags.definitions[4]
definitioncontext
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content_tags.definitions[5]
definitioncontiguity effect
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content_tags.definitions[6]
definitionlag
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content_tags.definitions[7]
definitionsimilarity
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content_tags.definitions[8]
definitionfeature vectors
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content_tags.definitions[9]
definitiontemporal clustering score
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content_tags.definitions[10]
definitioncontext representation
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content_tags.definitions[11]
key-termscontext reinstatement, temporal context, episodic memory, semantic memory, contiguity effect, temporal clustering, free recall, cued recall, lag, feature vectors, principal components analysis, neural similarity, electrocorticography, oscillatory power, autocorrelation, primacy effect, content reinstatement, autocorrelated noise, retrieved context, rehearsal-based models, mental time travel, temporal lobe, frontal lobe, medial temporal lobe, hippocampus, serial position, Kaiser criterion, Hilbert transform, normalized dot product, local field potentials, EEG
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.
conceptfeature vectors — not defined in this paper's own words; the set of autocorrelated principal components, the paper's stand-in for context
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concepts[9]
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.
regression β as written: we regressed the mean neural similarity between feature vectors on lag
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content_tags.statistics[0]
t-test t as written: paired-sample t test across 39 participants
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content_tags.statistics[1]
t-test t as written: t test on distribution of t values from the regressions
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content_tags.statistics[2]
correlation r as written: r = 0.42, P = 0.007
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.
content_tags.statistics[3]
principal components analysis PCA as written: principal components analysis (PCA)
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content_tags.statistics[4]
Kaiser criterion for component retention as written: the Kaiser criterion
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content_tags.statistics[5]
autocorrelation as written: significant positive autocorrelation
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content_tags.statistics[6]
z-score standardisation z as written: we z -transformed power values relative to the distribution of all events
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content_tags.statistics[7]
standard error of the mean SEM as written: ±1 SEM
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content_tags.statistics[8]
t test
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content_tags.statistics[9]
paired-sample t test
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.
content_tags.statistics[10]
β coefficient
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content_tags.statistics[11]
principal components analysis
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.
content_tags.statistics[12]
Kaiser criterion
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.
content_tags.statistics[13]
z -transformed
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.
content_tags.statistics[14]
SEM
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.
content_tags.statistics[15]
normalized dot product
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content_tags.statistics[16]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
methodelectrocorticography in epilepsy patients during delayed free recall; oscillatory power in five bands per electrode, reduced by PCA, with components selected for slow autocorrelation during study and tested for similarity to recall-time activity as a function of lag — a second reading DIFFERING from the recorded value; recorded: electrophysiology
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alternatives.method
phenomenontemporal context reinstatement during episodic memory search — a second reading DIFFERING from the recorded value; recorded: temporal context reinstatement during memory search
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alternatives.phenomenon

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.

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