Ensembles of human MTL neurons “jump back in time” in response to a repeated stimulus — TEI-tagged view

Howard, Viskontas, Shankar, Fried · 2012 · neuroscience · doi:10.1002/hipo.22018 · 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 (xml); every evidence string verified as an exact substring of that text before merging. The paper's own claim is new; it converges with Manning et al. (2011), but that study used intracranial oscillatory measures during free recall rather than single units during continuous recognition, so it is recorded as 'extends' rather than treated as a replication. Claim type is 'existence' (a jump-back-in-time signature occurs in human MTL ensembles) even though the discussion goes on to speculate mechanistically about CA3 pattern completion — that mechanism is explicitly flagged in the text as speculative. 2026-08-13 and 2026-08-15 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.
Other fields define these differently the same word, defined another way in another discipline
short-term memory 2 fields · linear regression 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
contiguity effect2 recency effect2 temporal context3 short-term memory10 jump back in time temporal autocorrelation lag one regression coefficient ensemble similarity MTL6 hippocampus29 entorhinal cortex7 amygdala10 continuous recognition block3 category4 recency3 lag4 pattern completion3 persistent firing artifact4 electrophysiology110

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Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonneural contiguity effect in episodic memory ("jump back in time")— “The contiguity effect is an extremely robust feature of episodic memory experiments ( Kahana et al., 2008 ).”
claim-typeexistence— “Critically, repetition of a stimulus caused the ensemble to elicit a pattern of activity that resembled the pattern of activity present before the initial presentation of the stimulus.”
method — evidence— “In vivo single-neuron recordings were taken from the human MTL while epilepsy patients distinguished novel from repeated images in a continuous recognition memory task.”
object of study — evidence— “There is as yet no evidence, however, that repetition of a stimulus causes recovery of prior neural ensemble states in the MTL that would be the signature of a jump back in time.”
research question — evidence— “There is a disconnect in the literature between cognitive theories of episodic memory and neural circuit models of the MTL. Cognitive theories focus on the experience of mental time travel, which reinstates the learning context, thereby causing the contiguity effect. Neural circuit models of the MTL have focused on forming direct inter-item…
contribution — evidence— “The firing pattern of the ensemble of MTL neurons showed robust temporal autocorrelation over macroscopic periods of time during performance of the memory task. The gradually-changing part of the ensemble state was causally affected by the visual stimulus being presented. Critically, repetition of a stimulus caused the ensemble to elicit a…
transferfrom mathematical psychology: retrieved temporal context, brought from list-memory modelling to a prediction about single units— “However, unlike short-term memory models, in retrieved temporal context models, the contiguity effect is a result of a “jump back in time.” A repeated stimulus need not cause the same input as it did when it was first presented; a repeated stimulus can recover the state of context that was available before it was initially presented. The…transfers[0]
transferfrom list-learning behavioural research: recency and contiguity as the two effects any account must produce— “Episodic memory exhibits two extremely robust temporal effects in the laboratory: the recency effect and the contiguity effect. The recency effect describes the finding that more recently presented items are better remembered ( Murdock, 1962 ; Glenberg et al., 1980 ), while the contiguity effect refers to the finding that when a stimulus from…transfers[1]
mechanismA repeated stimulus triggers pattern completion of the gradually-changing context state that was active when it was first experienced, so the recovered state resembles states both before and after the original presentation— “Suppose that when a particular stimulus is repeated, this results in pattern completion of the gradually-changing pattern that was present when it was initially experienced.”mechanisms[0]
mechanismThe contiguity effect is produced by a jump back in time in which the repeated item recovers the pre-presentation state of temporal context— “In these models, the contiguity effect is caused by a “jump back in time” by which a repeated stimulus recovers the state of temporal context that was available prior to its original presentation.”mechanisms[1]
mechanismLong-timescale temporal autocorrelation is generated by network properties or intrinsic cellular mechanisms that sustain firing after a transient input— “The long-term temporal autocorrelation could result from either network properties or intrinsic cellular properties that lead to persistent firing in response to a transient input.”mechanisms[2]
mechanismintrinsic cellular or network properties could produce persistent firing after a transient input, which is what a slowly changing representation would need— “The long-term temporal autocorrelation could result from either network properties or intrinsic cellular properties that lead to persistent firing in response to a transient input. An extensive and growing body of work from slice preparations suggests that neurons in many parts of the MTL are equipped with a variety of intrinsic mechansims…mechanisms[3]
mechanismrecurrent CA3 connectivity could complete a gradually-changing pattern from a partial cue, which would recover the earlier context— “For decades, researchers have noted that the structure of the hippocampus, in particular the recurrent structure of CA3, could be used for autoassociative pattern completion ( Marr, 1971 ; McNaughton & Morris, 1987 ; Hasselmo & Wyble, 1997 ; Norman & O’Reilly, 2003 ). The basic idea is that during encoding, recurrent synapses are…mechanisms[4]
mechanisma repeated stimulus recovers a state that is a mixture of earlier inputs weighted by temporal proximity, rather than reinstating its own original input— “However, unlike short-term memory models, in retrieved temporal context models, the contiguity effect is a result of a “jump back in time.” A repeated stimulus need not cause the same input as it did when it was first presented; a repeated stimulus can recover the state of context that was available before it was initially presented. The…mechanisms[5]
builds-on retrieved temporal context models of episodic memory— “These findings confirm a direct prediction of this class of temporal context models and may be a signature of the mechanism that underlies the experience of episodic memory as mental time travel.”claim_relations[0]
extends Manning et al. (2011)— “Manning et al. (2011) used a similar strategy to analyze human ECoG during performance of a free recall task.”claim_relations[1]
contradicts Norman and O'Reilly (2003)— “Similarly, the Norman and O’Reilly (2003) model as published would not account for the neural contiguity effect but could be elaborated to do so.”claim_relations[2]
contradicts accounts identifying the MTL ensemble with persistent stimulus-specific activation in short-term memory— “Although the results of the contiguity analysis are not predicted by identification of the MTL ensemble with persistent stimulus-specific activation, our findings could be accommodated within existing mathematical cognitive models of short-term memory.”claim_relations[3]
contradicts short-term memory accounts in which contiguity comes from persistent stimulus activation and direct inter-item associations— “The backward effect in Figure 4c is not predicted by persistent stimulus activation in short-term memory but is predicted by a jump back in time.”claim_relations[4]
supports retrieved temporal context models of recency and contiguity— “These findings confirm a direct prediction of this class of temporal context models and may be a signature of the mechanism that underlies the experience of episodic memory as mental time travel.”claim_relations[5]
extends Manning 2011's finding that recall reinstates the pattern present during study of preceding items— “However, there are two important limitations of that study. First, it is not clear whether the context reinstatement effect generalizes to the level of units. Second, because the order of free recall is unconstrained the study leaves open the possibility that the neural state during retrieval of an item resembles the activity associated with…claim_relations[6]
contradicts models in which the gradually changing memory representation is independent of the stimuli presented— “Our results show strong evidence that the MTL maintains a representation that changes gradually over time that is not attributable to recording artifacts nor to uncontrolled experimental variables. These accounts would have predicted a flat curve in Figure 4c .”claim_relations[7]
builds-on evidence for temporal autocorrelation and stimulus selectivity in MTL neurons— “There is as yet no evidence, however, that repetition of a stimulus causes recovery of prior neural ensemble states in the MTL that would be the signature of a jump back…claim_relations[8]
senseTHE TWO RIVALS ARE MADE TO AGREE EVERYWHERE BUT ONE PLACE: both predict a gradually changing state caused by the stimuli, and the paper says so before testing anythingsenses[0]
senseand the discriminating prediction is an ASYMMETRY: short-term memory predicts resemblance only to states AFTER the original presentation, a jump back in time predicts resemblance in both directions
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senses[1]
sensea jump back in time is defined as recovering the context that existed BEFORE the stimulus was first presented, not as reinstating the stimulus's own input
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senses[2]
sensetemporally-autocorrelated is an operational label: units whose lag-one regression coefficient on the previous event's firing rate is significantly above zero, about a quarter of all units
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senses[3]
senseeach unit is treated as an independent observation and as a one-cell ensemble, because unit counts vary across sessions and sessions were at least 48 hours apart
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senses[4]
sensethe design was chosen over free recall precisely because repetition order is under experimenter control rather than following the subject's own retrieval
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senses[5]
controlthe analysis restricted to pairs of events WITHIN THE SAME BLOCK, which were necessarily from the same category — held — rules out category membership as an artefactual source of contiguity - events from one category cluster in time by construction, so a temporal-contiguity effect could be category structure wearing a clock
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controls[0]
evidential statusManning 2011's finding that recall reinstates the pattern present during study of preceding items — the paper's own words: is not clear
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claim_relations[6]
notejump back in time —distinct-from→ short-term memory — AND THEY DIFFER IN EXACTLY ONE PLACE: short-term memory predicts resemblance only FORWARD of the original presentation, a jump back predicts it in both directions
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concept_edges[1]
notejump back in time —part-of→ temporal context — the recovered state is a mixture of earlier inputs weighted by proximity, NOT a reinstatement of the stimulus's own input
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concept_edges[2]
auditblock —distinct-from→ temporal autocorrelation — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span isolates autocorrelation from block effects; distinct-from is loose.
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concept_edges[7]
noteblock —distinct-from→ temporal autocorrelation — and the block structure is removed by restricting every comparison to pairs of events inside one block
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concept_edges[7]
auditrecency —causes→ ensemble similarity — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span is a counterfactual ('if recency were the only factor'); causes states it as a finding.
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concept_edges[9]
noterecency —causes→ ensemble similarity — and the recency gradient is then ESTIMATED and SUBTRACTED, so what remains is the contiguity effect alone
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concept_edges[9]
auditpersistent firing —causes→ temporal autocorrelation — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the autocorrelation 'COULD RESULT FROM' properties leading to persistent firing; causes is hedged.
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concept_edges[10]
weightpersistent firing —causes→ temporal autocorrelation — 0.9
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concept_edges[10]
auditpattern completion —causes→ jump back in time — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but CA3's structure 'COULD BE USED FOR' pattern completion to recover the state; causes is hedged.
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concept_edges[11]
notepattern completion —causes→ jump back in time — offered as the recovery mechanism, from the recurrent structure of CA3
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concept_edges[11]
weightpattern completion —causes→ jump back in time — 0.8
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concept_edges[11]
audithippocampus —contrasted-with→ amygdala — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span is cut before the regional contrast is stated.
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concept_edges[12]
notehippocampus —contrasted-with→ amygdala — A REGIONAL NULL: hippocampus, parahippocampal region and entorhinal cortex all far exceed the Type I error rate and do not differ from each other; the amygdala does not exceed it at all
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concept_edges[12]
auditcontinuous recognition —operationalised-as→ jump back in time — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the continuous recognition experiment gives 'a better opportunity to assess' the jump back in time; operationalised-as is loose.
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concept_edges[13]
notecontinuous recognition —operationalised-as→ jump back in time — chosen over free recall BECAUSE the repetition order is set by the experimenter rather than by the subject's retrieval
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concept_edges[13]
noterecency effect —contrasted-with→ contiguity effect — the two behavioural effects any account must produce, and here they appear superimposed in one curve
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concept_edges[14]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — what the ensemble change means: WE CANNOT DETERMINE WITH CERTAINTY FROM THESE DATA whether the change was specific to the stimulus or general
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limitations[0]
for which uselimitation — the upper end of the timescale: THE RESULTS FROM THIS EXPERIMENT DO NOT PLACE A STRONG CONSTRAINT ON THE UPPER LIMIT OF THE TIME-SCALE OF THE AUTOCORRELATION
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limitations[1]
for which uselimitation — any comparison between regions: WE AVERAGED OVER 3 s INTERVALS SO THAT DIFFERENCES BETWEEN REGIONS THAT MANIFEST ON SHORTER TIME SCALES WOULD BE INVISIBLE TO US
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limitations[2]
for which uselimitation — every contrast in the blocked design: IT WOULD BE IMPOSSIBLE TO COMPLETELY CONTROL ALL POSSIBLE RELEVANT VARIABLES, so position in block, recency distribution and new/old ordering ride along
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limitations[3]
for which uselimitation — the functional form of the change: OUR DATA ANALYSES ASSUME THAT THE ENSEMBLE CHANGES OVER TIME BUT THEY DO NOT UNIQUELY SUPPORT A PARTICULAR MATHEMATICAL FORM OF THE CHANGE
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limitations[4]
for which uselimitation — the recency-versus-contiguity separation, done statistically rather than by design: FUTURE RESEARCH SHOULD DISENTANGLE RECENCY FROM CONTIGUITY BY, FOR INSTANCE, PRESENTING REPEATED STIMULI AFTER A LONG DELAY
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limitations[5]
for which uselimitation — the mechanistic account that follows: WHILE NECESSARILY SPECULATIVE, IT IS WORTH THINKING ABOUT HOW THESE TWO FUNCTIONS MIGHT BE ACCOMPLISHED
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limitations[6]
for which uselimitation — the same scope as limitations[0] - what exactly is retrieved is undetermined
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limitations[7]
for which uselimitation — the same scope as limitations[2] - the 3 s averaging hides faster regional differences
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limitations[8]
for which uselimitation — the blocked design: IT IS NECESSARILY THE CASE THAT THE FIRST STIMULUS SHOWN IN A BLOCK IS NEW AND THE LAST STIMULUS IN THE BLOCK IS OLD
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limitations[9]
for which uselimitation — the stimulus-coding claim: ROBUST STIMULUS CODING WAS NOT OBSERVED USING THIS METHOD IN THE TEMPORALLY-AUTOCORRELATED PART OF THE ENSEMBLE, t(15) = 0.46 - only category specificity was
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limitations[10]
replicationuntested
no type for thiscategory → event number — THE TWO CANNOT BE SEPARATED IN THIS STUDY - the DESIGN form of the negative relation / No edge type can express it: all eight assert that a relation HOLDS. Recorded here because a confounding statement BOUNDS WHAT THE PAPER'S OWN RESULTS CAN MEAN, and it lives in a methods paragraph where nothing downstream will find it. A design confound stated plainly in a methods sentence.
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unhoused_relations[0]
limitationThe data cannot establish whether the ensemble change caused by a stimulus's first presentation was specific to that stimulus.
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limitations[0]
limitationThe experiment cannot bound the longest time scale over which the ensemble representation is autocorrelated.
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limitations[1]
limitationAveraging firing rates over 3 s windows makes any faster regional differences undetectable.
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limitations[2]
limitationThe blocked design leaves some variables (position in block, distribution of recencies, new/old ordering) uncontrolled.
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limitations[3]
limitationThe analyses do not discriminate among mathematical forms of the gradual change.
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limitations[4]
limitationRecency and contiguity had to be disentangled statistically rather than by design.
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limitations[5]
limitationthe mechanistic account of how the jump back in time is accomplished is labelled necessarily speculative
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limitations[6]
limitationthe data cannot settle what exactly is retrieved when the ensemble state is recovered
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limitations[7]
limitationfiring was averaged over three-second intervals, so regional differences on shorter timescales could not be seen
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limitations[8]
limitationsome design variables cannot be controlled at all: the first stimulus of a block is necessarily new and the last necessarily old
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limitations[9]
limitationautocorrelated units did not show robust stimulus coding by this method, only category specificity
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limitations[10]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingMTL ensemble activity changed gradually over tens of seconds, and the change was causally affected by which stimulus was shown.
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content_tags.findings[0]
findingRepeating a stimulus recovered ensemble activity that had been present before its original presentation — a reliable backward contiguity effect.
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content_tags.findings[1]
findingEnsemble similarity also fell off in the forward direction, which is consistent with either short-term memory or retrieved-context accounts.
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content_tags.findings[2]
findingEnsemble similarity was greater for same-category than for different-category pairs.
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content_tags.findings[3]
findingThe temporally autocorrelated part of the ensemble did not show robust stimulus coding.
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content_tags.findings[4]
findingThe contiguity analysis gives very strong evidence against all of the temporal autocorrelation being artifactual.
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content_tags.findings[5]
findingTHE RIVALS SHARE TWO PREDICTIONS BY CONSTRUCTION: both require a gradually changing state caused by the presented stimuli
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content_tags.findings[6]
findingAND DIFFER IN ONE ASYMMETRY: short-term memory predicts resemblance only to states following the original presentation, a jump back in time predicts both directions
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content_tags.findings[7]
findingso the signature sought is a repeated stimulus recovering activity present BEFORE its original presentation
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content_tags.findings[8]
findinglag one regression coefficients were above zero overall and about a quarter of units qualified as temporally autocorrelated
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content_tags.findings[9]
findingautocorrelated units fired above baseline BEFORE the stimulus appeared, so they were not simply responding to it
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content_tags.findings[10]
findinghippocampus, parahippocampal region and entorhinal cortex all far exceeded the Type I error rate; the amygdala did not
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content_tags.findings[11]
findingBLOCK STRUCTURE REMOVED BY RESTRICTION: all comparisons confined to pairs of events within one block, which are necessarily same-category
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content_tags.findings[12]
findingA LOWER BOUND ON THE TIMESCALE: excluding the eight nearest recencies still left a significant slope, so the ensemble kept changing past 27 seconds
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content_tags.findings[13]
findingCATEGORY AND RECENCY SEPARATED BY MATCHING: comparisons made across pairs of similarities at the same recency
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content_tags.findings[14]
findingso the category effect cannot be attributed to the confounding of recency with category structure
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content_tags.findings[15]
findingA DISSOCIATION INSIDE THE ENSEMBLE: the autocorrelated units showed category specificity but not robust stimulus coding, t = 0.46
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content_tags.findings[16]
findingwhile the non-autocorrelated units showed both stimulus and category selectivity
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content_tags.findings[17]
findingTHE ARTEFACT CLASS DEFINED BY WHAT IT CANNOT KNOW: no recording artefact would make spike shape depend on which picture was shown
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.findings[18]
findingONE ANALYSIS SERVING TWO PURPOSES: the contiguity analysis both diagnoses a causal link to the stimulus and looks for the jump back in time
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content_tags.findings[19]
findingand the question is declared meaningless for units that are not autocorrelated in the first place
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content_tags.findings[20]
findingSORTING ERROR ONE ANSWERED: splitting one neuron across units could fake autocorrelation but not stimulus specificity, block sensitivity, or retained information about preceding stimuli
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content_tags.findings[21]
findingSORTING ERROR TWO ANSWERED: merging neurons could fake conjunctions, but not a response to the neighbours of a particular stimulus's original presentation
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content_tags.findings[22]
findingcurves peaked at zero and falling off both ways would otherwise require the particular picture to change the shape of recorded spikes
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content_tags.findings[23]
findingAND AN ENVIRONMENTAL CLASS RULED OUT TOO: a fan or other sound present during part of a session cannot produce a contiguity effect
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content_tags.findings[24]
findingthe artefactual and stimulus-independent accounts would both have predicted a flat curve
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content_tags.findings[25]
findingTHE DECIDING RESULT: the backward effect is not predicted by persistent stimulus activation but is predicted by a jump back in time
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content_tags.findings[26]
findingthe recency gradient was estimated and subtracted so that what remained on the lag axis was contiguity alone
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content_tags.findings[27]
findingSOME CONFOUNDS ARE STRUCTURAL AND UNCONTROLLABLE: the first stimulus of a block is necessarily new and the last necessarily old
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content_tags.findings[28]
findingthe prior free-recall result had two named limitations: it was not at unit level, and recall order was set by the subject
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content_tags.findings[29]
findingwhich is why repetition under experimenter control gives a better test of the causal relationship
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content_tags.findings[30]
findingUNIT CRITERIA STATED NUMERICALLY: clear refractory periods, amplitude over 100 microvolts, under 1 percent of spikes below 3 ms
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content_tags.findings[31]
findingwith a power-spectrum check discarding units carrying significant 60 Hz line noise
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content_tags.findings[32]
findingand every unit inspected by a human observer as well as by the clustering algorithm
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content_tags.findings[33]
findingthe three-second analysis window is shorter than the minimum inter-stimulus interval, so no spike is counted twice
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content_tags.findings[34]
findingpatients discriminated new from old reliably with no bias, hit rate .82 and correct rejection .83
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content_tags.findings[35]
quantity.248 — proportion of recorded units classified as temporally autocorrelated
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content_tags.quantities[0]
quantity44/270 — number of units that were category-selective
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content_tags.quantities[1]
quantitymean .094 ± .01 — average lag one regression coefficient across units, significantly above zero
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content_tags.quantities[2]
quantityhit rate = .82 ± .07; correct rejection rate = .83 ± .07 — patients' recognition performance on the continuous recognition task
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content_tags.quantities[3]
quantity.0042 ± .0015, F (1, 9) = 7.48, p < .03 — backward-direction regression of ensemble similarity on |lag| — the key jump-back-in-time result
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content_tags.quantities[4]
quantitymore than 27 s — lower bound on the time scale over which the ensemble kept changing reliably
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content_tags.quantities[5]
quantityfour patients, eight recording sessions — size of the human single-unit dataset
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content_tags.quantities[6]
quantity.248 — share of units classified as temporally autocorrelated
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content_tags.quantities[7]
quantitymore than 27 s — lower bound on the timescale over which the ensemble kept changing
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content_tags.quantities[8]
quantity> 100 microvolts and less than 1% — amplitude and refractory-violation criteria defining a single unit
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[9]
quantity3.10 s — minimum inter-stimulus interval, which is what makes the 3 s window safe
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content_tags.quantities[10]
quantity.82 ± .07 and .83 ± .07 — hit rate and correct rejection rate, showing no response bias
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content_tags.quantities[11]
variablerepetition of a stimulus (independent)
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content_tags.variables[0]
variableaverage firing rate (dependent)
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content_tags.variables[3]
variableensemble similarities of event vectors (dependent)
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content_tags.variables[4]
variablerecency
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content_tags.variables[5]
variablelag
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content_tags.variables[6]
variabletemporal autocorrelation
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content_tags.variables[7]
definitionrecency effect
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content_tags.definitions[0]
definitiontemporally-autocorrelated units
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content_tags.definitions[1]
definitionlag one regression coefficient
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content_tags.definitions[3]
definitioncontiguity effect
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content_tags.definitions[4]
definitionjump back in time
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content_tags.definitions[5]
definitiontemporal autocorrelation
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content_tags.definitions[6]
definitionensemble similarity
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content_tags.definitions[7]
key-termscontiguity effect, recency effect, temporal context, short-term memory, jump back in time, temporal autocorrelation, ensemble similarity, MTL, hippocampus, amygdala, continuous recognition, block, category, recency, lag, pattern completion, artifact
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.
conceptcontiguity effect — not defined in this paper's own words; memory for neighbours of a remembered item is enhanced
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]
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.
linear regression F as written: A linear regression showed a significant effect of recency on ensemble similarity
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content_tags.statistics[0]
t-test t as written: t(269) = 9.31, p < .001
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content_tags.statistics[1]
paired t-test t as written: paired t-test across recencies
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content_tags.statistics[2]
chi-squared test χ 2 as written: χ 2 (2) = 4.87, p > .05
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content_tags.statistics[3]
ANOVA F as written: An ANOVA with |lag| as a regressor and direction (forward vs backward) as a categorical variable
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content_tags.statistics[4]
z-score standardisation as written: we z-transformed each unit’s activity across events
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content_tags.statistics[5]
lag one regression coefficient
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content_tags.statistics[6]
Type I error rate
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content_tags.statistics[7]
paired t-test
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content_tags.statistics[8]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
claim typeexistence — a second reading reaching the same value; recorded: existence
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alternatives.claim_type
methodmicrowire single-unit recording during a continuous recognition task, with ensemble similarity analysed as a function of recency and of lag from the original presentation — a second reading DIFFERING from the recorded value; recorded: electrophysiology
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alternatives.method
phenomenontemporal autocorrelation of MTL ensemble firing over tens of seconds, with a contiguity effect superimposed on it — a second reading DIFFERING from the recorded value; recorded: neural contiguity effect in episodic memory ("jump back in time")
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alternatives.phenomenon

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