Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex — TEI-tagged view

Fujisawa, Amarasingham, Harrison, Buzsáki · 2008 · neuroscience · doi:10.1038/nn.2134 · 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 is really two contributions in one: the mechanism claim recorded here about behaviour-dependent spike transmission, and a substantial statistical-methods contribution (spike-jitter resampling with pointwise and global bands, plus a thinning procedure to dissociate firing rate from detectability) that a single 'method' facet cannot express. Prior work in this source is cited by superscript number without author names, so claim relations targets are described by reference number; the 'contradicts' relation is anchored to the paper's own 'In contrast' sentence, whose target is named in the immediately preceding sentence rather than within the quoted sentence itself. 2026-08-13, 2026-08-14 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.
2 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
working memory 4 fields · depression 3 fields · standard deviation 3 fields · confidence interval 2 fields · facilitation 2 fields · power 2 fields · and 1 more →
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
monosynaptic4 cross-correlogram jitter7 thinning power6 firing rates2 mPFC4 pyramidal16 interneuron24 short-term plasticity facilitation6 depression11 supralinear cell assemblies4 trajectory3 working memory27 goal representation central arm silicon probe2 dendritic spikes 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
phenomenonbehaviour-dependent short-term synaptic plasticity in prefrontal cortex— “Here we looked for the signature of short-term plasticity in the fine-timescale spiking relationships of a simultaneously recorded population of physiologically identified pyramidal cells and interneurons, in the medial prefrontal cortex of the rat, in a working memory task.”
claim-typemechanism— “Monosynaptic interactions between pairs of neurons varied dynamically during the task and might be explained by the demonstrated short-term facilitation and suppression of synaptic strengths and the supralinear postsynaptic effect of the coincident firing of two or more presynaptic neurons.”
method — evidence— “During the recording sessions, neurophysiological signals were acquired continuously at 20 kHz on a 128-channel DataMax system (16-bit resolution; RC Electronics).”
object of study — evidence— “However, in contrast to the large body of experiments that focus on neuronal firing patterns, relatively little empirical research 14 – 16 bears on short-term synaptic plasticity in the intact brain during behavior, and therefore its significance with respect to behavioral and cognitive processes remains largely theoretical.”
contribution — evidence— “On finer timescales, putative monosynaptic interactions reflected short-term plasticity in their dynamic and predictable modulation across various aspects of the task, beyond a statistical accounting for the effect of the neurons’ co-varying firing rates.”
transferfrom statistics: conditional inference by surrogate construction, with the null chosen to preserve every timescale but the one under test— “Because the jittered data sets preserve firing rates on timescales much broader than that of the jitter interval, the overall effect of the analysis is to identify as monosynaptic those pairs that showed excess co-firing at short latencies that cannot be accounted for by firing rates varying only at timescales of tens of milliseconds”transfers[0]
transferfrom survey sampling: thinning - deleting observations at random until a nuisance variable is flat - imported as a power control— “To more rigorously demonstrate position-dependent monosynaptic effects (the statistical issue is one of power; see Methods), we used a heuristic randomization argument based on thinning. For a given cell pair, we randomly and iteratively removed spikes occurring in maze segment(s) of interest until the remaining (‘thinned’) spikes were…transfers[1]
mechanismShort-term synaptic facilitation and depression modulate spike transmission, so sequentially discharging neurons form internally generated assemblies whose lifetimes are set by changing synaptic efficacies— “We hypothesize that sequentially discharging neurons reflect internally generated cell assemblies, whose dynamics are in turn supported by the modulation of synaptic efficacies.”mechanisms[0]
mechanismSupersynchronous presynaptic input triggers dendritic spikes in the target interneuron, producing supralinear summation of coincident inputs— “One mechanism underlying the supralinear summation effect might be the initiation of dendritic spikes triggered by supersynchronous inputs”mechanisms[1]
mechanismNeuronal reverberation: a receding assembly hands its representational content to a successor assembly, generating the ordered firing sequence— “A potential interpretation of the orderly sequence of neuronal firing is that firing patterns reflect a neuronal representation of goals and movement trajectories through ‘neuronal reverberation’”mechanisms[2]
mechanismone presynaptic neuron's increased activity can reduce its control of an interneuron while another's increases it, on the same postsynaptic cell— “We also observed the combination of these effects on single cells, showing that, for a given interneuron, increased activity from one presynaptic neuron can reduce that neuron’s control of the interneuron (depression), whereas increased activity from another presynaptic neuron can increase that neuron’s control of the interneuron.”mechanisms[3]
mechanismthat opposite pattern on one cell argues for synaptic mechanisms rather than passive membrane properties— “These latter findings also argue in favor of synaptic mechanisms rather than passive membrane properties”mechanisms[4]
mechanismcoincident discharge of two or more presynaptic neurons within 5 ms raises the target's firing probability supralinearly— “A second mechanism that affected spike transmission between cell pairs depended on the precise timing of the various inputs. Coincident discharge of two or more pre-synaptic neurons within a 5-ms time window increased, in a supra-linear fashion, the probability of a target interneuron’s discharge.”mechanisms[5]
mechanismdendritic spikes triggered by supersynchronous inputs are offered as a mechanism for that supralinearity— “One mechanism underlying the supralinear summation effect might be the initiation of dendritic spikes triggered by supersynchronous inputs, as shown in hippocampal neurons 30 . Such dendritic boosting may be particularly prominent in certain interneuron types because of the high densities of voltage-gated sodium and potassium ion channels in…mechanisms[6]
mechanismsequences may reflect a receding assembly handing its content to the next, with lifetimes set by internal mechanisms including short-term plasticity— “A potential interpretation of the orderly sequence of neuronal firing is that firing patterns reflect a neuronal representation of goals and movement trajectories through ‘neuronal reverberation’ 1 , wherein a receding assembly gives rise to another cell assembly, which lasts for a similar duration before passing its representational…mechanisms[7]
replicates previous studies reporting that short-timescale cross-correlations between neuron pairs vary with behaviour (refs 14-16, 33)— “Similarly to previous studies, we observed that short-term (~5 ms) cross-correlations between pairs of neurons varied as a function of behavior”claim_relations[0]
contradicts those earlier studies' assumption that behaviourally varying short-latency cross-correlation peaks reflect pyramidal-pyramidal interactions— “In contrast, taking into account physiological criteria to separate excitatory and inhibitory neurons, our analysis indicated that most such short-latency peaks in cross-correlograms were likely to correspond to monosynaptic excitation of GABAergic interneurons by their presynaptic pyramidal cells”claim_relations[1]
extends prior in vitro observations that excitatory inputs from different sources onto the same interneuron can be depressing or potentiating (refs 2, 5)— “These observations support previous in vitro observations that excitatory inputs from different sources to the same interneuron can possess either depressing or potentiating properties”claim_relations[2]
reinterprets earlier reports of behaviour-dependent short-term cross-correlations, assumed to reflect pyramidal-to-pyramidal interactions— “In these earlier studies, such short-term effects, often described as ‘functional’ connectivity 34 , were assumed to reflect pyramidal-pyramidal interactions and to correspond to hypothetical physiological mechanisms underlying associative mechanisms, learning, memory or reward expectancy. In contrast, taking into account physiological…claim_relations[3]
extends in vitro evidence that pyramidal-to-interneuron synapses are plastic over tens to hundreds of milliseconds— “However, in contrast to the large body of experiments that focus on neuronal firing patterns, relatively little empirical research 14 – 16 bears on short-term synaptic plasticity in the intact brain during behavior, and therefore its significance with respect to behavioral and cognitive processes remains largely theoretical.”claim_relations[4]
builds-on jitter and surrogate methods for separating fine-timescale from broad-timescale synchrony— “To disambiguate multiple-timescale effects, we used jitter techniques 26 to infer monosynaptic connections. Each spike in…claim_relations[5]
critiques the independence assumption underlying shift-predictor identification of monosynaptic connectionsclaim_relations[6]
senseMONOSYNAPTIC here is an inference to the simpler explanation, not an observation - the named rival is shared input producing co-firing without any synapse, and the criterion that separates them is TIMESCALE
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senses[0]
sensethe surrogate is built so that its null contains everything EXCEPT the timescale of interest: jittering by ±5 ms preserves firing rates at broader timescales, so what survives cannot be explained by rate variation at tens of milliseconds
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senses[1]
sensefunctional synaptic efficacy is defined operationally as the magnitude of excess coincident spikes at short latency - it is a spike-count statistic, not a measured synaptic quantity
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senses[2]
sensethe independence assumption used by the standard shift-predictor approach is rejected here BY NAME, because broad-timescale effects alone can push short-latency co-occurrence above chance
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senses[3]
sensethe confound being controlled is DETECTABILITY rather than the effect: more spikes make a connection easier to detect, so a position-dependent rate would produce position-dependent detection with no change in efficacy
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senses[4]
controlspike trains were jittered at a chosen timescale and the co-firing recomputed, so that only excess co-firing at the FINE timescale survives — held — rules out that a co-firing pair is explained by shared slow input rather than by a monosynaptic connection - co-firing at broad timescales is common without any direct connection
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controls[0]
controlthe timing of the interaction was compared against what a passive membrane could produce — held — rules out that the temporal structure is a passive electrical artefact - the membrane time constant or a changing input conductance in the postsynaptic cell
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controls[1]
differs inthe independence assumption underlying shift-predictor identification of monosynaptic connections — THE AXIS IS THE INDEPENDENCE ASSUMPTION, STATED PRECISELY IN THE SPAN. 'Seeking more formal criteria for large scale analysis, a standard approach is to assume that spike trains are independent of one another (that is, precisely, that the response of one neuron is conditionally exchangeable across trials, or shifts...).' The shift predictor is not wrong as arithmetic; it rests on an assumption the paper names in its formal form.
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claim_relations[6]
notemonosynaptic —operationalised-as→ cross-correlogram — it can ONLY be inferred indirectly from an extracellular signal - the paper opens the section by saying so
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concept_edges[0]
notefacilitation —contrasted-with→ depression — both found, and elsewhere BOTH ON ONE POSTSYNAPTIC CELL from different presynaptic partners, which is what rules out passive membrane properties
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concept_edges[8]
notecell assemblies —part-of→ mPFC — distributed across a large volume with no spatial clustering of similar tuning
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concept_edges[11]
weightcell assemblies —part-of→ mPFC — 0.8
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concept_edges[11]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
outcome (stated by the tagger, no quotation)control — heldcontrols[1]
for which uselimitation — any population-level or connectivity claim: ONLY A SMALL PERCENTAGE OF NEURONS AND THEIR CONNECTIONS COULD BE MONITORED IN OUR STUDY
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limitations[0]
for which uselimitation — every reported synaptic connection: MONOSYNAPTIC INTERACTIONS CAN ONLY BE INDIRECTLY INFERRED FROM AN EXTRACELLULAR SIGNAL - inferred, not measured
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limitations[1]
for which uselimitation — the absence of weak pyramidal-to-pyramidal effects specifically: THE CROSS-CORRELATION METHOD MAY NOT RELIABLY DETECT AND ANALYZE WEAK EXCITATORY INTERACTIONS AMONG PRINCIPAL CELLS - a null here is not evidence of absence
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limitations[2]
for which uselimitation — the significance values themselves: CHOOSING THE SIZE OF THE JITTER WINDOW WAS A MATTER OF JUDGMENT, AND THIS SHOULD BE KEPT IN MIND IN THE LITERAL INTERPRETATION OF SIGNIFICANCE
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limitations[3]
for which uselimitation — the position-dependence analysis: OUR APPROACH HERE IS EXAMPLE-BASED, AND WE DID NOT EXPLICITLY COMPUTE MULTIPLE-COMPARISONS CONTROLS ACROSS CELLS
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limitations[4]
for which uselimitation — the population firing-rate estimates only: THE PRESENT ESTIMATES SHOULD BE CONFIRMED BY FUTURE STUDIES USING MORE DIRECT METHODS
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limitations[5]
for which uselimitation — the same scope as limitations[0], with the added reason that most neurons are silent or sparsely active and so never enter the sample
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limitations[6]
for which uselimitation — the same scope as limitations[2]
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limitations[7]
for which uselimitation — any use of the cell-type composition as an anatomical estimate: the observed ratio IS LOWER THAN would be expected from anatomy, and the authors attribute the difference to the recording method
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limitations[8]
for which uselimitation — the layer difference in trajectory selectivity: the authors report it with the caveat that firing-rate differences between layers could contribute to the effect
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limitations[9]
evidential statusmechanism — the paper's own words: We hypothesize that
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mechanisms[0]
replicationuntested
no type for thisvariation in firing rates → detectability — RULED OUT BY THE AUTHORS AS AN EXPLANATION: because spikes are uniformly distributed across maze positions, the observed differences in monosynaptic activity are LESS LIKELY TO BE DUE TO firing-rate variation acting on detectability. A control argument, not a relation that holds - and no edge type can say a relation FAILS.
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unhoused_relations[0]
limitationOnly a small, possibly unrepresentative fraction of neurons and connections could be observed.
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limitations[0]
limitationSynaptic connections are inferred indirectly from extracellular cross-correlograms, not measured.
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limitations[1]
limitationThe cross-correlation method is insensitive to weak pyramidal-to-pyramidal interactions.
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limitations[2]
limitationThe jitter window size was a judgement call, which qualifies literal reading of the significance values.
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limitations[3]
limitationThe position-dependence analysis is example-based, without corrections for multiple comparisons across cells.
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limitations[4]
limitationThe population firing-rate estimates need confirmation by more direct methods.
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limitations[5]
limitationonly a small percentage of neurons could be monitored, most are silent or sparsely active, and the population estimates are stated to need more direct methods
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limitations[6]
limitationthe cross-correlation method may not reliably detect weak excitatory interactions between principal cells, though it works for principal-to-interneuron connections
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limitations[7]
limitationthe observed principal-to-interneuron ratio is lower than anatomy predicts, attributed to the recording method or to silent principal cells
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limitations[8]
limitationthe layer difference in trajectory selectivity is reported with the caveat that firing rate differences could influence it
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limitations[9]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingOn the seconds timescale, transiently active mPFC neurons formed sequences that reliably distinguished the rat's left and right maze trajectories.
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content_tags.findings[0]
findingOn the millisecond timescale, the efficacy of putative monosynaptic connections was modulated by task phase even after firing-rate co-variation was statistically accounted for.
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content_tags.findings[1]
findingRoughly equal fractions of connected pairs showed firing-pattern-dependent synaptic depression and facilitation in the behaving animal.
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content_tags.findings[2]
findingPresynaptic spikes coinciding within 5 ms drove the postsynaptic interneuron supralinearly, more than the sum of their separate effects.
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content_tags.findings[3]
finding16-18% of neurons also fired differentially in the central arm, where movement trajectories and head directions were apparently indistinguishable.
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content_tags.findings[4]
findingPutative connection probability fell rapidly with the distance between somata.
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content_tags.findings[5]
findingInformation in mPFC appears sparsely encoded by cell assemblies spread over a large volume.
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content_tags.findings[6]
findingmonosynaptic efficacy varied with position in the maze and with left versus right trajectory rather than staying constant
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content_tags.findings[7]
finding67 of 343 pairs with significant excitatory connections showed identifiable position dependence
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content_tags.findings[8]
finding495 of 62,408 directed cell pairs, 0.79 percent, had significant short-latency narrow peaks or troughs
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content_tags.findings[9]
findingconnection probability fell rapidly with distance but connections were found up to 1,200 micrometres apart
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content_tags.findings[10]
findingTHE INFERENCE IS TO THE SIMPLER EXPLANATION: the named rival is co-firing from shared input with no synapse, and the discriminator is timescale
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content_tags.findings[11]
findingTHE STANDARD ASSUMPTION IS REJECTED BY NAME: under independence, broad-timescale effects alone can raise short-latency co-occurrence above chance
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content_tags.findings[12]
findingand an informal observation is given as further reason: the independence approach reliably yields ambiguous putative connections
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content_tags.findings[13]
findingeach spike in each neuron was randomly and independently perturbed on a uniform interval of [-5,+5] ms, repeated independently 1,000 times to form the surrogate data sets
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content_tags.findings[14]
findingTHE NULL IS BUILT TO CONTAIN EVERYTHING BUT THE TIMESCALE OF INTEREST: jittering preserves broader-timescale rates, so what survives cannot be rate variation at tens of milliseconds
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content_tags.findings[15]
findingTHE CONFOUND IS DETECTABILITY: more spikes make a connection easier to detect, so a position-dependent rate could fake a position-dependent efficacy
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content_tags.findings[16]
findingSO DATA WERE DISCARDED TO REMOVE IT: spikes were deleted at random until rates were flat to within ten percent across maze segments, and the analysis rerun
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content_tags.findings[17]
findingthe argument being that with spikes uniform across positions, a remaining position dependence is unlikely to be a power effect
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content_tags.findings[18]
findingand the conclusion survived thinning in several cases
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content_tags.findings[19]
findingin some pairs thinning was unnecessary because rates were already flat while coincidences were confined to part of the maze
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content_tags.findings[20]
findingA PRIOR LITERATURE REATTRIBUTED: earlier work read such peaks as pyramidal-to-pyramidal, and physiological classification makes them mostly pyramidal-to-interneuron
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content_tags.findings[21]
findingneurons fired differentially by trajectory already in the central arm, where movement and head direction were indistinguishable
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content_tags.findings[22]
findingthe neuron already showed goal-specific elevated firing in the central arm, suggestive of goal representation
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content_tags.findings[23]
findinga lingering-odour confound was ruled out: stem-area differential firing showed no reliable relationship with nose-poke firing
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content_tags.findings[24]
findingand previous-trial reward position left only sparse traces in firing
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content_tags.findings[25]
findingenvironmental and motor differences alone cannot fully account for mPFC activity
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content_tags.findings[26]
findingindividual cells fired at specific locations while the population as a whole fired uniformly over the apparatus
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content_tags.findings[27]
findingone presynaptic partner's activity reduced its control of an interneuron while another's increased it, on the same cell
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content_tags.findings[28]
findingwhich argues for synaptic mechanisms rather than passive membrane properties
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content_tags.findings[29]
findingcoincident presynaptic discharge within 5 ms raised target firing probability supralinearly
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content_tags.findings[30]
findingTHE SILENT MAJORITY ACKNOWLEDGED: only about 10 to 25 percent of neurons in the sampled volume were active enough to cluster, and the estimates are said to need more direct methods
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content_tags.findings[31]
findingthe principal-to-interneuron ratio of 2.82 is lower than anatomy predicts, attributed to the method or to silent principal cells
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content_tags.findings[32]
finding633 units were recorded from anterior cingulate and dorsal prelimbic cortex in four rats
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content_tags.findings[33]
findingrats performed at 92 percent correct at the time of recording
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content_tags.findings[34]
quantity633 — Total well-isolated single units recorded from medial prefrontal cortex across four rats
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content_tags.quantities[0]
quantity495 (0.79%) of 62,408 — Cell pairs showing significant short-latency cross-correlogram peaks or troughs, i.e. putative monosynaptic connections
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content_tags.quantities[1]
quantity2.82 ± 0.51 — Physiologically identified ratio of putative principal cells to inhibitory interneurons
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content_tags.quantities[2]
quantity67 of 343 — Excitatory monosynaptic pairs showing statistically identifiable position dependence of their interaction
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content_tags.quantities[3]
quantity12.7% and 10.7% — Proportions of neuron pairs showing firing-pattern-dependent depression and facilitation respectively
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content_tags.quantities[4]
quantity92% correct — Mean behavioural accuracy of the rats on the odour-place matching task at the time of recording
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content_tags.quantities[5]
quantity40% versus 22% — Fraction of trajectory-selective neurons in the side arms in layer 5 versus layer 2/3
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content_tags.quantities[6]
quantity0.27 (62 cm) ± 0.17 (39 cm) — Mean standardized maze distance over which an individual neuron remained active (its firing 'lifetime')
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content_tags.quantities[7]
quantity0.79% — share of directed cell pairs with a significant short-latency peak or trough
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content_tags.quantities[8]
quantity67 of 343 — excitatory pairs showing position-dependent monosynaptic interaction
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content_tags.quantities[9]
quantity1,200 μm — the greatest separation at which a connection was detected
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content_tags.quantities[10]
quantity2.82 ± 0.51 — observed principal-to-interneuron ratio, against about 4 from anatomy
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content_tags.quantities[11]
quantity92% correct — behavioural performance during recording
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content_tags.quantities[12]
variableposition in the maze (independent)
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content_tags.variables[1]
variablejittered data sets (control)
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content_tags.variables[5]
variablefiring rates
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content_tags.variables[7]
variabletrajectory
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content_tags.variables[8]
definitionfunctional synaptic efficacy
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content_tags.definitions[0]
definitionspike train
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content_tags.definitions[1]
definitioncoincident-time offset spike
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content_tags.definitions[2]
definitionsurrogate data set
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content_tags.definitions[3]
definitionmonosynaptic
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content_tags.definitions[4]
definitionjitter
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content_tags.definitions[5]
definitionthinning
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content_tags.definitions[6]
key-termsmonosynaptic, cross-correlogram, jitter, thinning, power, firing rates, mPFC, pyramidal, interneuron, short-term plasticity, facilitation, depression, supralinear, cell assemblies, trajectory, central arm
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.
conceptsupralinear — not defined in this paper's own words; the coincidence effect on postsynaptic firing
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concepts[12]
conceptdendritic spikes — not defined in this paper's own words; the proposed basis of supralinearity
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concepts[19]
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.
resampling / surrogate data methods as written: Resampling methods
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content_tags.statistics[0]
permutation test P as written: permutation test (shuffling the first spike, second~ spike labels
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content_tags.statistics[1]
spike-jitter resampling for cross-correlogram significance as written: randomly and independently perturbed (or ‘jittered’) on a uniform interval of [−5,+5] ms
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content_tags.statistics[2]
kernel density estimation σ as written: gaussian kernels of bandwidth σ = 0.05
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content_tags.statistics[3]
multiple-comparison correction (family-wise error rate) FWER as written: (global or family-wise) error rate (FWER)
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content_tags.statistics[4]
confidence interval as written: (Exact) Clopper-Pearson confidence intervals
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content_tags.statistics[5]
t-test P
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content_tags.statistics[6]
standard deviation s.d. as written: (mean ± s.d.)
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content_tags.statistics[7]
randomization by thinning (statistical power control) as written: heuristic randomization argument based on thinning
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content_tags.statistics[8]
cross-correlation as written: cross-correlograms
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content_tags.statistics[9]
jitter
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content_tags.statistics[10]
Clopper-Pearson confidence intervals
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content_tags.statistics[11]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
claim typeexistence — a second reading DIFFERING from the recorded value; recorded: mechanism
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alternatives.claim_type
methodeight-shank silicon probe recording with jitter-surrogate cross-correlogram analysis and a spike-thinning control for detection power — a second reading DIFFERING from the recorded value; recorded: electrophysiology
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alternatives.method
phenomenonexcess short-latency coincident spiking between a pyramidal cell and an interneuron, changing systematically across the maze — a second reading DIFFERING from the recorded value; recorded: behaviour-dependent short-term synaptic plasticity in prefrontal cortex
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alternatives.phenomenon

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