Hippocampal "time cells": time versus path integration

Kraus, Robinson, White, Eichenbaum, Hasselmo · Neuron · 2013 · neuroscience · 10.1016/j.neuron.2013.04.015 · record Kraus2013-hippocampal-time-cells-time-versus-path-inte
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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. Claim type coded as 'existence' because the headline result is the demonstrated existence of two dissociable cell populations (time-preferring and distance-preferring); the paper's argument against pure path-integration accounts is captured as a claim_relation rather than as a 'critique' claim_type. The paper is simultaneously a partial replication of Pastalkova et al. (2008) on one point and a contradiction of it on another — both are recorded. Replication status is 'untested' because the paper's own novel time-vs-distance dissociation is not reported as having been independently retested. 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.
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Other fields define these differently the same word, defined another way in another discipline
model 4 fields · time 4 fields · behavior 4 fields · episodic memory 3 fields · GLM 3 fields · standard deviation 3 fields · and 4 more →

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 29 concept tags on this paper, none is grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
time distance location hippocampal neuron treadmill speed firing place cell path integration time cell GLM model tuning curve deviance covariate spatial episodic memory theta interneuron clamp behavior task direction assumption field width self-motion network dynamics ANOVA Repeating sequences of transiently active hippocampal cells act as a time-based template onto which episodic memories are written and from which they are later read out, disambiguating memories that share a location Distance-coding cells must be reading self-motion (idiothetic) cues generated by the moving belt, so their firing is driven by sensed movement rather than purely by internal network dynamics confound time cells difference score treadmill speed neuronal firing pattern distance traveled two-factor ANOVA with spatial bin and “temporal” bin as two factors correlation Pearson’s linear correlation coefficient bootstrap bootstrap samples by randomly sampling (with replacement) confidence interval generalized linear model generalized linear model (GLM) likelihood ratio test likelihood ratio tests to compare each nested model to the full model chi-squared maximum likelihood estimation iterative Newton-Raphson method to maximize the likelihood function Poisson regression inhomogeneous Poisson process standard deviation p-value two-factor ANOVA electrophysiology

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second readingalternativesan independent re-reading of a facet, recorded whether or not it agrees
relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
contributioncontributionwhat the paper claims to add
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
object of studyobject_of_studywhat the paper is about — the thing it investigates
phenomenonphenomenonthe effect or regularity under study
research questionresearch_questionthe question the paper sets itself
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field
unrecordable relationunhoused_relationsa relation the paper asserts that this vocabulary cannot express, with the reason

The paper

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Every tag on this page

alternatives 3 · claim_relations 9 · claim_type 1 · concept_edges 4 · content_tags 77 · contribution 1 · controls 2 · limitations 7 · mechanisms 6 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 17 · transfers 4 · unhoused_relations 1

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; none of 4 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studyhippocampal time cells - and whether their apparent temporal tuning is instead an integration of the distance the animal has travelled
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object_of_studythe paper's words
research_questionwhether time, distance and location can be disentangled at all in hippocampal firing, and which of them each neuron actually tracks
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research_questionthe paper's words
contributionclamping behavior and location and randomising treadmill speed shows both time-coding and distance-coding cells, firing in the same theta cycles - so neither pure path integration nor pure network dynamics accounts for the sequences
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contributionthe paper's words
claim_typeexistence
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claim_typethe paper's words
phenomenonhippocampal time cells
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phenomenonthe paper's words
methodelectrophysiology
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methodthe paper's words
mechanismsmechanisms
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mechanisms[0]the tagger's words
mechanismsmechanisms
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duplicate of: mechanisms[3]
mechanisms[1]the tagger's words
mechanismsthe spiking of each neuron is fit to a generalized linear model including treadmill time, treadmill distance, spatial position, treadmill speed and spike history as covariates, and each nested model removes one or more categories of covariates
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mechanisms[2]1.0the tagger's words
mechanismsand the distance cells must be reading treadmill speed or the self-motion cues it produces, which is what rules out pure internal network dynamics
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mechanisms[3]1.0the tagger's words
mechanismswhile the existence of time-only cells rules out pure path integration, so the hippocampus is holding both dimensions at once
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mechanisms[4]1.0the tagger's words
mechanismswith distance encoded even though there are no visual cues of movement to read it from
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mechanisms[5]1.0the tagger's words
limitationsdue to the residual correlation between time elapsed and distance traveled, the paper cannot say with certainty whether neurons influenced by both were encoding both simultaneously or whether the hippocampus was shifting between types of representations
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what this limits: the mixed cells specifically: WE CANNOT SAY WITH CERTAINTY WHETHER THOSE NEURONS ... WERE ENCODING BOTH TIME AND DISTANCE SIMULTANEOUSLY OR WHETHER THE HIPPOCAMPUS WAS SHIFTING BETWEEN TYPES OF REPRESENTATIONS
limitations[0]the tagger's words
limitationsThe experimental design cannot fully dissociate time from distance during ongoing treadmill running.
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what this limits: the time-versus-distance dissociation the paper is built on: IT IS IMPOSSIBLE TO COMPLETELY SEPARATE TIME AND DISTANCE AS LONG AS THE RAT IS STILL RUNNING ON THE TREADMILL
limitations[1]the tagger's words
limitationsthe clamping of behavior and location was largely successful, although minor variations persisted, and were taken into account in subsequent analyses
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what this limits: every claim that location and behaviour were held constant: the clamping WAS LARGELY SUCCESSFUL, ALTHOUGH MINOR VARIATIONS PERSISTED, AND WERE TAKEN INTO ACCOUNT IN SUBSEQUENT ANALYSES
limitations[2]the tagger's words
limitationstime and distance cannot be fully separated while the animal is still running, so the decoupling is partial by construction
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what this limits: the same scope as limitations[1], with the consequence for the figures: THE EFFECTS OF VARYING SPEED BECOMES MORE PRONOUNCED AS TIME ELAPSES, so the alignment is easier to see at the end of the run than the beginning
limitations[3]1.0the tagger's words
limitationsand the residual correlation means the paper cannot say whether the mixed cells encode both at once or switch between representations - the theta result is what makes the first reading likely
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what this limits: the same scope as limitations[0] - simultaneous coding and switching cannot be told apart here
limitations[4]1.0the tagger's words
limitationsthe clamping of behaviour and location was only largely successful; minor variations persisted and had to be modeled rather than removed
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what this limits: the same scope as limitations[2], with the numbers: 75% OF THE TIME SPENT ON THE TREADMILL COULD BE ACCOUNTED FOR BY AN AREA WITH A RADIUS OF APPROXIMATELY 3.3 cm
limitations[5]1.0the tagger's words
limitationsand the cell classes are relative to this task - the same neurons carry ordinary place fields elsewhere on the maze
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what this limits: the cell-class labels, which belong to the task segment and not to the cell: NEURONS IDENTIFIED AS RESPONDING MORE ACCURATELY TO TIME OR ... DISTANCE ... OFTEN EXPRESSED STANDARD PLACE FIELDS IN OTHER REGIONS OF THE MAZE WHEN THE TREADMILL WAS OFF
limitations[6]1.0the tagger's words
transfersMuller's random-foraging strategy of clamping behavior and randomising an irrelevant variable, reused with speed in place of direction
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transfers[0]1.0the tagger's words
transfersnested-model deviance testing, used to ask what each covariate class adds rather than whether a fit is good
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transfers[1]1.0the tagger's words
transfersthe requirement that episodic memory be temporally organised, which is what makes a time-based template worth looking for
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transfers[2]0.9the tagger's words
transfersa commercial treadmill, set into a maze specifically to hold place constant while motion continues
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transfers[3]0.8the tagger's words
controlsa generalised linear model using ONLY spatial covariates, fitted to firing during treadmill running where distance and time are dissociated
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eliminates: that time-cell firing on the treadmill is really place coding - that the apparent timing signal is explained by where the animal is · outcome (stated by the tagger, no quotation): held
controls[0]0.95the tagger's words
controlsresidual variation in location during treadmill running was checked against the transient firing
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eliminates: that the transient firing at specific moments is driven by small residual differences in the animal's position rather than by elapsed time · outcome (stated by the tagger, no quotation): held
controls[1]0.95the tagger's words
unhoused_relationselapsed time → distance
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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. The confound is between the two things the paper's own title sets against each other, and it is the paper that ANSWERS Eichenbaum2014's question - so a reader joining the two needs this sentence and would never see it.
unhoused_relations[0]the tagger's words
sensesTWO VARIABLES CONFOUNDED IN EVERY EARLIER STUDY OF THE PHENOMENON: when animals stayed in a constant location, ELAPSED TIME WAS CONFOUNDED WITH THE DISTANCE TRAVELLED - the number of steps taken - so the whole time-cell result was open to a path-integration reading
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senses[0]1.0the tagger's words
senseswith the design answer stated as a verb - CLAMP behavior and location, and vary the treadmill speed so that time and distance come apart
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senses[1]1.0the tagger's words
sensesAND THE DECOUPLING IS DECLARED INCOMPLETE: it is IMPOSSIBLE to completely separate time and distance as long as the rat is still running - the effect of speed grows as the run proceeds
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senses[2]1.0the tagger's words
sensesWITH THE CONSEQUENCE FOR THE FIGURES ADMITTED: the most visually distinct examples typically fire AT THE END of the treadmill run, because that is where the method has power - the examples shown are selected by where the design can see
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senses[3]1.0the tagger's words
sensesand the residual correlation is carried into the conclusion - the paper CANNOT SAY WITH CERTAINTY whether mixed cells encode both dimensions or switch between them
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senses[4]1.0the tagger's words
sensesTHE CLAMP IS REPORTED AS PARTIAL, NOT AS ACHIEVED: clamping was LARGELY SUCCESSFUL, although minor variations persisted and were taken into account in the analyses
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senses[5]1.0the tagger's words
sensesA FIRING-RATE THRESHOLD DEFINES A CELL CLASS: units averaging more than 8 Hz over the session were considered putative interneurons and EXCLUDED - the category is a number, applied before any analysis
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senses[6]1.0the tagger's words
sensesTWO METHODS WITH DIFFERENT ASSUMPTIONS, MADE TO AGREE ON PURPOSE: a nonparametric spatial look-up table and a five-parameter GLM, correlating at r = 0.49 - so the conclusion DOES NOT DEPEND UPON THE ASSUMPTIONS MADE BY EITHER MODEL
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senses[7]1.0the tagger's words
sensesand the location account is tested by construction rather than asserted - if position sufficed, the predicted and observed temporal tuning curves would match; if the rat were stationary the prediction would be FLAT
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senses[8]1.0the tagger's words
senseswith the outcome that nearly all neurons DID show spatial tuning, and location was still NOT SUFFICIENT to explain the firing
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senses[9]1.0the tagger's words
sensesTHE POPULATION SPLITS AT BOTH EXTREMES: 42 neurons informative for distance but not time, 30 for time but not distance, 284 for both and 44 for neither
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senses[10]1.0the tagger's words
sensesand the two extremes fire IN THE SAME THETA CYCLE, which is what argues for simultaneous representation rather than switching between them
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senses[11]1.0the tagger's words
sensesTHE CATEGORY IS RELATIVE TO THE TASK, NOT INTRINSIC TO THE CELL: neurons identified as time cells or distance cells on the treadmill OFTEN EXPRESSED STANDARD PLACE FIELDS elsewhere on the maze
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senses[12]1.0the tagger's words
sensesAND THE FIELD ALREADY KNEW THIS ABOUT DIRECTION: where direction was irrelevant to the task, firing was NOT influenced by direction; where it becomes meaningful, it is - hippocampal activity reflects the regularities THAT CHARACTERIZE THE TASK AT HAND
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senses[13]1.0the tagger's words
senseswith the precedent named - Muller's 1987 random foraging task used the same move, CLAMPING behavior and randomising direction to see what signal would emerge
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senses[14]1.0the tagger's words
sensesTWO RIVAL ACCOUNTS ELIMINATED BY TWO SUBPOPULATIONS: distance cells rule out firing driven ENTIRELY by internal network dynamics, and time-only cells rule out pure path integration
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senses[15]1.0the tagger's words
sensesand the same neurons carry place fields elsewhere, so space dominates when the task makes location matter - the representation follows what the experiment makes relevant
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senses[16]1.0the tagger's words
alternativesclaim_type: existence
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a second reading reaching the same value. Recorded: existence — note: a second reading reaching the same value from a different sentence. Not applied - a person decides.
alternatives.claim_typethe tagger's words
alternativesmethod: the same firing fit twice under different assumptions - a nonparametric spatial look-up table and a parametric nested-model GLM - so the conclusion does not rest on either
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a second reading DIFFERING from the recorded value. Recorded: electrophysiology — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.methodthe tagger's words
alternativesphenomenon: sequences of transient hippocampal firing during a delay in which behaviour and place are held constant
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a second reading DIFFERING from the recorded value. Recorded: hippocampal time cells — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.phenomenonthe tagger's words
claim_relationsreplicates → Pastalkova et al. (2008)
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claim_relations[0]the tagger's words
claim_relationscontradicts → Pastalkova et al. (2008) — the proposal that treadmill-period firing is driven purely by internal network dynamics without idiothetic or allothetic cues
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differs in: whether anything outside the network drives the firing: THE NEURONS MUST BE RESPONDING TO THE TREADMILL SPEED, OR SELF-MOTION CUES INFLUENCED BY THE TREADMILL SPEED, IN ORDER TO ENCODE DISTANCE - against being DRIVEN ENTIRELY BY NETWORK DYNAMICS WITHOUT THE INFLUENCE OF EITHER IDIOTHETIC OR ALLOTHETIC CUES
claim_relations[1]the tagger's words
claim_relationscontradicts → path-integration accounts of hippocampal function (Etienne and Jeffery, 2004; McNaughton et al., 1996, 2006)
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differs in: which variable drives the cell: CELLS WHOSE ACTIVITY WAS SIGNIFICANTLY INFLUENCED BY ONLY TIME INDICATES THAT THESE NEURONS ARE ALSO NOT EXCLUSIVELY DRIVEN BY PATH INTEGRATION
claim_relations[2]the tagger's words
claim_relationscontradicts → the reading of hippocampal time cells as pure path integration over distance travelled
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differs in: whether it is one variable or both: OUR RESULTS SHOW THAT THE HIPPOCAMPUS REPRESENTS BOTH THE DISTANCE TRAVELED AND TIME, where path integration predicts distance alone
claim_relations[3]1.0the tagger's words
claim_relationscontradicts → the account that delay-period sequences are driven entirely by internal network dynamics without idiothetic or allothetic cues
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differs in: the same parameter as item 1 - the presence of self-motion cues: THE NEURONS MUST BE RESPONDING TO THE TREADMILL SPEED, OR SELF-MOTION CUES INFLUENCED BY THE TREADMILL SPEED, IN ORDER TO ENCODE DISTANCE
claim_relations[4]1.0the tagger's words
claim_relationscritiques → earlier time-cell studies, in which elapsed time was confounded with distance travelled
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differs in: whether time and distance were separable at all in the earlier designs: Quotation withheld OR CAN MOVE ON A SMALL PLATFORM OR IN A CHAMBER, ALLOWING MOVEMENT TO PLAY A SUBSTANTIAL ROLE IN ACCOUNTING FOR VARIATIONS IN FIRING RATE
claim_relations[5]1.0the tagger's words
claim_relationssupports → the view that hippocampal firing reflects whichever regularities the task makes relevant, rather than a fixed variable
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claim_relations[6]1.0the tagger's words
claim_relationsreconciles → time coding and distance coding, by showing both in the same theta cycles rather than as alternating regimes
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differs in: concurrent against switching representations: WHETHER TIME AND DISTANCE WERE BEING REPRESENTED CONCURRENTLY OR WHETHER THE HIPPOCAMPUS WAS SWITCHING BETWEEN SEPARATE REPRESENTATIONS OF TIME AND DISTANCE - decided by whether the extreme neurons were ACTIVE TOGETHER WITHIN THE SAME THETA CYCLES
claim_relations[7]1.0the tagger's words
claim_relationspredicts → that the mixed-selectivity majority encode time and distance conjunctively at all times
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claim_relations[8]0.9the tagger's words
concept_edgestime cell —operationalised-as→ firing
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strength of the relation: 1 · note: neurons that fire at particular moments during periods when BEHAVIOR AND LOCATION ARE RELATIVELY CONSTANT Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span defines time cells by when they fire; operationalised-as is loose.
also in: time cell · firing
concept_edges[0]1.0the tagger's words
concept_edgesGLM —contrasted-with→ tuning curve
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strength of the relation: 1
also in: GLM · tuning curve
concept_edges[21]1.0the tagger's words
concept_edgesnetwork dynamics —distinct-from→ self-motion
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strength of the relation: 1 · note: TWO RIVALS ELIMINATED BY TWO SUBPOPULATIONS - distance cells must be reading treadmill speed or the self-motion cues it produces, so the firing is NOT driven entirely by network dynamics Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says neurons are not driven entirely by network dynamics without cues; distinct-from is loose.
concept_edges[38]1.0the tagger's words
concept_edgespath integration —distinct-from→ time
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strength of the relation: 1 · note: and the time-only cells rule out pure path integration, so the hippocampus represents BOTH dimensions simultaneously Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says time-only cells are not exclusively driven by path integration; distinct-from is loose.
concept_edges[40]1.0the tagger's words
content_tagsANOVA
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also in: ANOVA
content_tags.statistics[0]the tagger's words
content_tagscorrelation
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also in: correlation
content_tags.statistics[1]the tagger's words
content_tagsbootstrap
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also in: bootstrap
content_tags.statistics[2]the tagger's words
content_tagsconfidence interval
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content_tags.statistics[3]the tagger's words
content_tagsgeneralized linear model
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content_tags.statistics[4]the tagger's words
content_tagslikelihood ratio test
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content_tags.statistics[5]the tagger's words
content_tagschi-squared
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also in: chi-squared
content_tags.statistics[6]the tagger's words
content_tagsmaximum likelihood estimation
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content_tags.statistics[7]the tagger's words
content_tagsPoisson regression
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content_tags.statistics[8]the tagger's words
content_tagsstandard deviation
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content_tags.statistics[9]the tagger's words
content_tagsp-value
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also in: p-value
content_tags.statistics[10]the tagger's words
content_tagstwo-factor ANOVA
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content_tags.statistics[11]1.0the tagger's words
content_tagsPearson’s linear correlation coefficient
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content_tags.statistics[12]1.0the tagger's words
content_tagsdeviance
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also in: deviance
content_tags.statistics[13]1.0the tagger's words
content_tagsFiring of hippocampal neurons during treadmill running was driven by elapsed time and distance run, and could not be explained by the small residual variation in the rat's head position.
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content_tags.findings[0]the tagger's words
content_tags42 neurons (11%) showed distance but not time as informative, and 30 neurons (8%) showed time but not distance as informative
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content_tags.findings[1]the tagger's words
content_tagsneurons only responding significantly to time fired within the same theta cycle as neurons only responding significantly to distance, suggesting that the hippocampus is representing both time and distance simultaneously
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content_tags.findings[2]the tagger's words
content_tagsActive neurons fired in a repeating sequence that tiled the whole treadmill run, so some subset of cells was firing at every moment.
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content_tags.findings[3]the tagger's words
content_tagsDistance coding on a treadmill shows the hippocampus can integrate path length using self-motion alone, without the visual flow that normally accompanies travel.
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content_tags.findings[4]the tagger's words
content_tagsFiring fields that peaked later in the run were also wider, so temporal precision degraded as the run progressed.
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content_tags.findings[5]the tagger's words
content_tagsneurons identified as responding more accurately to time or more accurately to distance during treadmill running often expressed standard place fields in other regions of the maze when the treadmill was off
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content_tags.findings[6]the tagger's words
content_tagsTWO VARIABLES CONFOUNDED IN EVERY EARLIER STUDY: elapsed time was confounded with the distance travelled, THE NUMBER OF STEPS TAKEN, leaving the time-cell result open to a path-integration reading
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content_tags.findings[7]1.0the tagger's words
content_tagsand path integration has been proposed as the PRIMARY FUNCTION of hippocampal networks, which is why the parameters had to be disentangled
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content_tags.findings[8]1.0the tagger's words
content_tagsthe design stated as a verb - CLAMP behavior and location, and vary the treadmill speed to decouple distance from time
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content_tags.findings[9]1.0the tagger's words
content_tagsneurons fire at particular moments during periods when behavior and location are relatively constant, with the speed varied to distinguish time from distance
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content_tags.findings[10]1.0the tagger's words
content_tagsmost neurons were strongly influenced by both time and distance, and some significantly by only one
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content_tags.findings[11]1.0the tagger's words
content_tagsAND THE DECOUPLING IS DECLARED INCOMPLETE: it is IMPOSSIBLE to completely separate time and distance while the rat is still running
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content_tags.findings[12]1.0the tagger's words
content_tagswith the consequence for the figures admitted - the most visually distinct examples typically fire AT THE END of the run, because that is where the effect of speed has grown
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content_tags.findings[13]1.0the tagger's words
content_tagsand the residual correlation is carried into the conclusion - the paper CANNOT SAY WITH CERTAINTY whether mixed cells encode both dimensions or switch between them
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content_tags.findings[14]1.0the tagger's words
content_tagsTHE CLAMP IS REPORTED AS PARTIAL: largely successful, with minor variations persisting and taken into account rather than removed
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content_tags.findings[15]1.0the tagger's words
content_tagsthe rats spent 74% of treadmill time inside an area visited in every time bin, and that area contained 82% of the tighter one
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content_tags.findings[16]1.0the tagger's words
content_tagsA FIRING-RATE THRESHOLD DEFINES A CELL CLASS: units averaging more than 8 Hz were considered putative interneurons and excluded before any analysis
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content_tags.findings[17]1.0the tagger's words
content_tagssignificantly more neurons were active on the treadmill than expected if they were simply place cells with fields there
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content_tags.findings[18]1.0the tagger's words
content_tagsthe location account is tested BY CONSTRUCTION - if position sufficed the predicted and observed curves would match, and a stationary rat would give a FLAT prediction
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content_tags.findings[19]1.0the tagger's words
content_tagsand nearly all neurons DID show spatial tuning, with location still NOT SUFFICIENT to explain the firing
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content_tags.findings[20]1.0the tagger's words
content_tags92% of treadmill-active neurons significantly changed firing rate across time bins
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content_tags.findings[21]1.0the tagger's words
content_tagsTWO METHODS WITH DIFFERENT ASSUMPTIONS MADE TO AGREE ON PURPOSE: the finding DOES NOT DEPEND UPON THE ASSUMPTIONS MADE BY EITHER MODEL
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content_tags.findings[22]1.0the tagger's words
content_tagssix nested models, each removing one or more CATEGORIES of covariate, so each deviance measures what that category was worth
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content_tags.findings[23]1.0the tagger's words
content_tagsTHE POPULATION SPLITS AT BOTH EXTREMES: 42 neurons (11%) distance-but-not-time and 30 (8%) time-but-not-distance, with 284 (70%) informative for both
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content_tags.findings[24]1.0the tagger's words
content_tagsat the extremes some neurons EXCLUSIVELY signalled time and others EXCLUSIVELY distance
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content_tags.findings[25]1.0the tagger's words
content_tags62% were more tuned to time and 38% more tuned to distance, with 63% more influenced by time than by space
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content_tags.findings[26]1.0the tagger's words
content_tagsand the two extremes fire IN THE SAME THETA CYCLE, arguing for simultaneous representation rather than switching
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content_tags.findings[27]1.0the tagger's words
content_tagsNOT A PROPERTY OF THE CELL: neurons identified as responding more accurately to time or more accurately to distance during treadmill running OFTEN EXPRESSED STANDARD PLACE FIELDS in other regions of the maze when the treadmill was off
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content_tags.findings[28]1.0the tagger's words
content_tagsAND THE FIELD ALREADY KNEW THIS ABOUT DIRECTION: where direction was irrelevant firing ignored it, where it became meaningful it did not - activity reflects the regularities THAT CHARACTERIZE THE TASK AT HAND
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content_tags.findings[29]1.0the tagger's words
content_tagswith the precedent named - Muller 1987 clamped behaviour as foraging and randomized direction to see what signal would emerge
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content_tags.findings[30]1.0the tagger's words
content_tagsTWO RIVALS ELIMINATED BY TWO SUBPOPULATIONS: distance cells rule out firing driven ENTIRELY by network dynamics, since they must read treadmill speed or self-motion cues
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content_tags.findings[31]1.0the tagger's words
content_tagsand time-only cells rule out pure path integration, so both dimensions are represented at once
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content_tags.findings[32]1.0the tagger's words
content_tagswith distance integrated EVEN IN THE ABSENCE of the visual cues usually associated with movement through space
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content_tags.findings[33]1.0the tagger's words
content_tagsfields peaking later in the run were wider (r = 0.50)
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content_tags.findings[34]1.0the tagger's words
content_tagswhere maze locations mattered to task success, space strongly influenced the firing of even the same neurons
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content_tags.findings[35]1.0the tagger's words
content_tagstime cells
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also in: time cells
content_tags.definitions[0]the tagger's words
content_tagspath integration
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content_tags.definitions[1]the tagger's words
content_tagsdifference score
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content_tags.definitions[2]the tagger's words
content_tagsclamp
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also in: clamp
content_tags.definitions[5]1.0the tagger's words
content_tagsinterneuron
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also in: interneuron
content_tags.definitions[6]1.0the tagger's words
content_tagsdeviance
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also in: deviance
content_tags.definitions[7]1.0the tagger's words
content_tagsfield width
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also in: field width
content_tags.definitions[8]0.9the tagger's words
content_tagstreadmill speed
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content_tags.variables[0]the tagger's words
content_tagsneuronal firing pattern
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content_tags.variables[2]the tagger's words
content_tagsdistance traveled
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content_tags.variables[3]the tagger's words
content_tagstime
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: time
content_tags.variables[5]1.0the tagger's words
content_tagsdistance
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: distance
content_tags.variables[6]1.0the tagger's words
content_tagsspeed
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: speed
content_tags.variables[7]1.0the tagger's words
content_tagsfield width
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: field width
content_tags.variables[8]1.0the tagger's words
content_tags927 — putative pyramidal cells recorded, drawn from 18 sessions in 6 rats
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content_tags.quantities[0]the tagger's words
content_tags92% (366/400) — share of treadmill-active neurons whose firing rate changed significantly across time bins in the two-factor ANOVA
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content_tags.quantities[1]the tagger's words
content_tags380/400 — neurons for which adding time plus distance covariates significantly improved the GLM fit over space alone
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content_tags.quantities[2]the tagger's words
content_tags314/400 (79%) and 326/400 (82%) — neurons for which distance, in addition to time and space, was informative, and neurons for which time, in addition to distance and space, was informative
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content_tags.quantities[3]the tagger's words
content_tags220/356 (62%) — neurons more strongly tuned to time than distance, the remaining 38% being more tuned to distance
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content_tags.quantities[4]the tagger's words
content_tags0.50 — Pearson correlation between a neuron's normalized peak firing time and its normalized firing field width
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content_tags.quantities[5]the tagger's words
content_tags35 to 49 cm/s — the range from which treadmill speed was randomly drawn on each trial
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content_tags.quantities[6]the tagger's words
content_tags3.3 cm — radius of the area containing 75% of the rat's head positions during treadmill running, the measure of how well location was clamped
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content_tags.quantities[7]the tagger's words
content_tags42 neurons (11%) ... 30 neurons (8%) — cells informative for distance but not time, and for time but not distance - the two small groups that eliminate one rival account each
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content_tags.quantities[8]1.0the tagger's words
content_tags8 Hz — the session-average firing rate above which a unit was reclassified as an interneuron and dropped - a cell class defined by a threshold rather than by a property of the cell
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content_tags.quantities[9]1.0the tagger's words
content_tags92% — of treadmill-active neurons significantly changing firing rate across time bins - the coarse result the rest of the paper has to survive
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content_tags.quantities[10]1.0the tagger's words
content_tags0.49 — agreement between a nonparametric and a parametric estimate of the same thing, reported so that the conclusion cannot be attributed to either model's assumptions
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content_tags.quantities[11]1.0the tagger's words
content_tags74% — of treadmill time spent inside the area visited in every time bin - the number that makes 'location was held constant' checkable rather than asserted
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content_tags.quantities[12]1.0the tagger's words

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