Inhibitory Actions Unified by Network Integration

Seybold, Phillips, Schreiner, Hasenstaub · Neuron · 2015 · neuroscience · 10.1016/j.neuron.2015.09.013 · record Seybold2015-inhibitory-actions-unified-by-network-integr
tag layer · index · concepts · authors · עברית
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 positions itself squarely against the conflicting V1 literature on Pvalb+/Sst+ function, but every such passage cites the works only inside a parenthetical list and never states a relation to a single named study in the same sentence, so I recorded only the one explicit named-work relation (the driver-line specificity check) rather than inferring 'contradicts' from a bare citation block. The paper is methodologically double: in vivo optogenetics/electrophysiology plus a threshold-linear simulation; the single-value method facet cannot carry both, and the modelling half is what supplies the mechanism claim. Note also that the paper reports its result in both anesthetized and awake animals, i.e. an internal cross-state replication, which the replication status enum has no way to express. 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.
How to read this page. The article itself is not reproduced here — this paper is not cleared for redistribution, so what follows is the tag layer alone. The evidence sentences are withheld with the article. The table at the foot lists every tag the record carries; each row names the facet it belongs to, and the whose words column says whether the tag records the paper's own wording or the tagger's sentence about the paper. Every tag links to each other paper in the corpus carrying it. The machine-readable edition of the same thing is the TEI file beside this one, where the tags live in standOff, and the article is at its publisher via the link below. When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.
Other fields define these differently the same word, defined another way in another discipline
threshold 2 fields · bootstrap 2 fields · confidence interval 2 fields

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 21 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.
divisive subtractive Sst Pvalb interneuron network inhibition threshold suppression bandwidth ChR2 auditory cortex A1 in vitro dendrites soma input resistance tuning curves g-test anesthetized awake Threshold nonlinearity in a convergent network converts the linear suppression type: suppressed inputs falling below the output neuron's spiking threshold turn subtractive inhibition of single neurons into divisive inhibition of the network, and vice versa Because most cortical input to a neuron is intracortical, activating interneurons changes the firing of the neuron's own converging and recurrent inputs, adding a second-order effect on top of the direct linear effect on that neuron Rectification of input firing rates (rates cannot go negative) makes subtractive suppression act most strongly at each input neuron's preferred frequency, which the connectivity function then passes on as a divisive-looking loss of drive at the target's best frequency subtractive suppression divisive suppression iceberging divisively suppressed neuron subtractively suppressed neuron firing rate over time regression slope y-intercept Wilcoxon signed-rank test sign-rank tests Wilcoxon rank-sum test rank-sum tests G-test of independence bootstrap bootstrap analysis regression standardized major axis regression t-test a t test of the parameter distribution coefficient of determination permutation test a permutation test between control and light-activation trials Bonferroni correction for multiple comparisons Bonferroni-adjusted multiple comparisons corrections confidence interval standard error of the mean mean ± SEM rank-sum sign-rank 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

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1016/j.neuron.2015.09.013. The reading view exists for the papers whose licence permits it.

Every tag on this page

alternatives 3 · claim_relations 5 · claim_type 1 · concept_edges 6 · content_tags 67 · contribution 1 · controls 1 · limitations 6 · mechanisms 8 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 5 · transfers 2

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 6 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studywhether divisive and subtractive suppression can be assigned to particular interneuron types at all
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object_of_studythe paper's words
research_questionhow activating somatostatin- or parvalbumin-positive interneurons changes auditory cortical responses to tones
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research_questionthe paper's words
contributionthe suppression type specific to an interneuron class can be masked by the network it is embedded in, so the property is not a property of the class
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contributionthe paper's words
claim_typemechanism
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claim_typethe paper's words
phenomenondivisive versus subtractive cortical inhibition
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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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mechanisms[1]the tagger's words
mechanismsmechanisms
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mechanisms[2]the tagger's words
mechanismsmost cortical input is intracortical, so changing inhibition changes the firing of a neuron's own inputs as well as the neuron, producing effects single-neuron models do not predict
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mechanisms[3]1.0the tagger's words
mechanismsin a network model, threshold nonlinearities plus the strength of suppression of a cell's inputs determine whether the observed effect looks divisive, subtractive or both
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mechanisms[4]1.0the tagger's words
mechanismsthe character of suppression in downstream neurons is set by their own thresholds and connections rather than by what happened upstream
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mechanisms[5]1.0the tagger's words
mechanismsfurther sources of the same masking are available: interneurons are themselves tuned and receive organised excitation, and many types inhibit one another
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mechanisms[6]0.8the tagger's words
mechanismslocal subnetworks with different intrinsic or connectional properties can interpret the same inhibition differently
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mechanisms[7]0.8the tagger's words
limitationsBoth interneuron populations were driven nonselectively and with diffuse timing, unlike their natural recruitment, so type-specific functional differences may have been washed out.
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what this limits: what the optogenetic experiment tests: BOTH POPULATIONS OF INTERNEURONS WERE ACTIVATED IN A NONSELECTIVE AND TEMPORALLY DIFFUSE MANNER, unlike their recruitment during normal brain operation
limitations[0]the tagger's words
limitationsOptogenetic stimulation parameters were not matched between the awake and anesthetized preparations.
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what this limits: the awake-versus-anaesthetised comparison: SOME OF THE OPTOGENETIC PARAMETERS (LIGHT STRENGTH, OPTICAL FIBER DIAMETER) WERE NOT IDENTICAL BETWEEN the two preparations
limitations[1]the tagger's words
limitationsThe proposed network mechanism is only one of several possible routes to the masking effect, and the paper does not exclude the others it lists.
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what this limits: the proposed network mechanism: THIS SECOND-ORDER EFFECT OF INHIBITORY ACTIVITY ON EXCITATORY TUNING IS MERELY ONE AMONG MANY MECHANISMS BY WHICH THIS MASKING PHENOMENON MAY EMERGE
limitations[2]the tagger's words
limitationsboth interneuron populations were driven nonselectively and diffusely in time, so differences arising from their natural response dynamics would not appear here
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what this limits: the same scope as limitations[0] - differences arising from selective recruitment cannot appear in this design
limitations[3]1.0the tagger's words
limitationsthe masking mechanism demonstrated is offered as one among many rather than as the mechanism
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what this limits: the masking mechanism as an explanation: THIS SECOND-ORDER EFFECT OF INHIBITORY ACTIVITY ON EXCITATORY TUNING IS MERELY ONE AMONG MANY MECHANISMS BY WHICH THIS 'MASKING' PHENOMENON MAY EMERGE
limitations[4]1.0the tagger's words
limitationsthe driver lines are stated to have under ten percent misexpression, which bounds but does not remove off-target activation
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what this limits: results reported by driver line: the lines are consistent with established expression patterns, with a stated misexpression rate that bounds rather than removes off-target labelling
limitations[5]1.0the tagger's words
transfersthe divisive/subtractive decomposition, carried from cable theory into claims about interneuron classes in intact cortex
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transfers[0]0.9the tagger's words
transfersa minimal threshold-nonlinear network used to show that the transformation between the two is possible in principle
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transfers[1]1.0the tagger's words
controlstemporal profiles of the tone response computed with and without blue-light illumination, in the same isolated single units across cortical layers
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eliminates: a difference between cells or sessions rather than an effect of the optogenetic manipulation - the light-off condition is the same unit, minutes apart · outcome (stated by the tagger, no quotation): held
controls[0]0.85the tagger's words
sensesDIVISIVE and SUBTRACTIVE are defined here as parameters of a straight line fitted to suppressed against control responses - slope below one is divisive, intercept below zero is subtractive - so they are properties of a FIT, not observed categories
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senses[0]1.0the tagger's words
sensesthe framework's central question presupposes that the answer belongs to the interneuron type; this paper's result is that the question is asked at the wrong level
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senses[1]1.0the tagger's words
sensesthe anatomical prediction is precise and well founded - dendritic synapses change current without changing somatic conductance, perisomatic ones change conductance - and it is confirmed in vitro on single cells
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senses[2]1.0the tagger's words
sensesthe decisive observation is that neurons recorded AT THE SAME TIME on the same probe are suppressed in different ways, which rules out animal-to-animal and preparation variability by construction
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senses[3]1.0the tagger's words
senseslight was set to a level that suppressed firing to about half of control in most units, so the manipulation is calibrated by its effect rather than by its intensity
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senses[4]1.0the tagger's words
alternativesclaim_type: critique
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a second reading DIFFERING from the recorded value. Recorded: mechanism — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.claim_typethe tagger's words
alternativesmethod: optogenetic activation of Cre-defined interneuron classes with 16-site laminar recording of tone responses, threshold-linear regression of suppressed on control responses, and a network model
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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: mixtures of divisive and subtractive suppression from either interneuron class, differing between neurons recorded at the same time
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a second reading DIFFERING from the recorded value. Recorded: divisive versus subtractive cortical inhibition — 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 → prior reports of low (<10%) misexpression in Sst-Cre and Pvalb-Cre driver lines (Cardin et al., 2009; Sohal et al., 2009; Cardin et al., 2010; Kerlin et al., 2010; Taniguchi et al., 2011; Adesnik et al., 2012; Kvitsiani et al., 2013; Pfeffer et al., 2013)
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claim_relations[0]the tagger's words
claim_relationscritiques → the framework in which each interneuron type is assigned a fixed divisive or subtractive function
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claim_relations[1]1.0the tagger's words
claim_relationsreconciles → the apparently irreconcilable visual cortex findings about Sst and Pvalb interneuron effects
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claim_relations[2]0.9the tagger's words
claim_relationsqualifies → in vitro demonstrations that somatic and dendritic inhibition suppress single pyramidal neurons divisively and subtractively
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claim_relations[3]1.0the tagger's words
claim_relationscontradicts → the standard prediction that activating Pvalb and Sst interneurons implements divisive and subtractive suppression respectively
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claim_relations[4]1.0the tagger's words
concept_edgesdivisive —contrasted-with→ subtractive
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strength of the relation: 1 · note: CRITERION, AND IT IS A FIT: slope of one with a negative intercept is subtractive, slope below one with a zero intercept is divisive. Both are parameters of a regression, not observations
also in: divisive · subtractive
concept_edges[0]1.0the tagger's words
concept_edgesinterneuron —part-of→ network
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strength of the relation: 1 · note: THE LEVEL ERROR IN ONE SENTENCE: network interactions determine the systems-level effects of neuron-level manipulations, and that is what makes the literature look contradictory Audit 2026-09-28: DOUBTFUL - read against its span and kept, but interneurons within networks; part-of is loose.
also in: interneuron · network
concept_edges[6]1.0the tagger's words
concept_edgesthreshold —causes→ divisive
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strength of the relation: 1 · note: in the model, varying threshold and the strength of input suppression alone moves the apparent effect between divisive, subtractive and both Audit 2026-09-28: DOUBTFUL - read against its span and kept, but threshold nonlinearities can transform subtractive into divisive inhibition; causes 'divisive' is terse.
also in: threshold · divisive
concept_edges[7]1.0the tagger's words
concept_edgesnetwork —causes→ suppression
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strength of the relation: 1 · note: the character of suppression downstream is set by the downstream cell's own properties, whatever happened upstream - hence 'masked' Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says suppression character was set by intrinsic properties and connections; causes is loose.
also in: network · suppression
concept_edges[8]0.9the tagger's words
concept_edgesSst —causes→ bandwidth
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strength of the relation: 1 · note: SIGN: narrowing - and by the same amount as Pvalb, so bandwidth does not separate the classes either
also in: Sst · bandwidth
concept_edges[10]1.0the tagger's words
concept_edgesA1 —part-of→ auditory cortex
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strength of the relation: 1 · note: identified functionally, by short latency and the tonotopic reversal, rather than by coordinates
also in: A1 · auditory cortex
concept_edges[14]1.0the tagger's words
content_tagsWilcoxon signed-rank test
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content_tags.statistics[0]the tagger's words
content_tagsWilcoxon rank-sum test
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content_tags.statistics[1]the tagger's words
content_tagsG-test of independence
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content_tags.statistics[2]the tagger's words
content_tagsbootstrap
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also in: bootstrap
content_tags.statistics[3]the tagger's words
content_tagsregression
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also in: regression
content_tags.statistics[4]the tagger's words
content_tagst-test
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also in: t-test
content_tags.statistics[5]the tagger's words
content_tagscoefficient of determination
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content_tags.statistics[6]the tagger's words
content_tagspermutation test
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content_tags.statistics[7]the tagger's words
content_tagsBonferroni correction for multiple comparisons
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content_tags.statistics[8]the tagger's words
content_tagsconfidence interval
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content_tags.statistics[9]the tagger's words
content_tagsstandard error of the mean
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content_tags.statistics[10]the tagger's words
content_tagsg-test
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also in: g-test
content_tags.statistics[11]1.0the tagger's words
content_tagsrank-sum
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also in: rank-sum
content_tags.statistics[12]0.85the tagger's words
content_tagssign-rank
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also in: sign-rank
content_tags.statistics[13]1.0the tagger's words
content_tagsOptogenetically activating either somatostatin- or parvalbumin-positive interneurons produced a mixture of divisive and subtractive suppression of auditory cortical tone responses, and neurons recorded at the same time were often suppressed in qualitatively different ways.
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content_tags.findings[0]the tagger's words
content_tagsThe proportions of divisive, subtractive, mixed and neither-type suppression did not differ significantly between Sst+ and Pvalb+ activation.
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content_tags.findings[1]the tagger's words
content_tagsAbout half of suppressed units showed divisive-only suppression (slope below 1 with intercept not below 0), with the remainder split between subtractive-only, mixed, and neither, for both interneuron families.
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content_tags.findings[2]the tagger's words
content_tagsA threshold-linear (slope-plus-intercept) description captured most of the variance of suppression for both interneuron types, so the suppression of individual neurons was well described as a linear transformation.
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content_tags.findings[3]the tagger's words
content_tagsBandwidth changes did not differ between activating Sst+ and Pvalb+ interneurons.
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content_tags.findings[4]the tagger's words
content_tagsNeurons within one cortical column are not equally affected by broad interneuron activation.
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content_tags.findings[5]the tagger's words
content_tagsIn the network model, both divisive and subtractive suppression at single cells can produce divisive-like suppression of the net drive to a downstream neuron.
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content_tags.findings[6]the tagger's words
content_tagsIn the model, a downstream neuron's suppression type was set by its own intrinsic properties and connections, regardless of whether its inputs were suppressed divisively or subtractively.
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content_tags.findings[7]the tagger's words
content_tagsactivating either interneuron class produced mixtures of divisive and subtractive suppression rather than one or the other
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content_tags.findings[8]1.0the tagger's words
content_tagsthe proportions of suppression types did not differ between the two classes, g-test p = 0.54
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content_tags.findings[9]1.0the tagger's words
content_tagsa linear framework accounted for a high proportion of the variance of suppression in both strains
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content_tags.findings[10]1.0the tagger's words
content_tagsboth classes narrowed frequency tuning bandwidths, and the distributions of change did not differ
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content_tags.findings[11]1.0the tagger's words
content_tagsTHE DECISIVE OBSERVATION: neurons recorded simultaneously on one probe were suppressed in uncorrelated ways
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content_tags.findings[12]1.0the tagger's words
content_tagswhich rules out preparation and animal-to-animal variability, and the same was seen in awake animals
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content_tags.findings[13]1.0the tagger's words
content_tagsall four suppression types appeared for both classes in awake mice too, again with no difference in proportions
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content_tags.findings[14]1.0the tagger's words
content_tagsTHE PREDICTION THAT FAILED: from synapse location and morphology, the standard prediction is that Pvalb+ activation divides and Sst+ activation subtracts
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content_tags.findings[15]1.0the tagger's words
content_tagsthe proposed explanation is that most cortical input is intracortical, so inhibition changes a neuron's inputs as well as the neuron
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content_tags.findings[16]1.0the tagger's words
content_tagsand a network model shows that varying only threshold and input suppression strength moves the apparent effect between divisive and subtractive
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content_tags.findings[17]1.0the tagger's words
content_tagsso a class's characteristic suppression can be MASKED by the network it sits in
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content_tags.findings[18]1.0the tagger's words
content_tagsthis reconciles the in vitro clarity with the in vivo mixture rather than treating the discrepancy as a problem
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content_tags.findings[19]1.0the tagger's words
content_tagsthe visual cortex literature contains every combination of the two assignments, described as apparently irreconcilable
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content_tags.findings[20]1.0the tagger's words
content_tagsthe same masking should appear in any network of appreciable complexity, and several further routes to it are named
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content_tags.findings[21]0.8the tagger's words
content_tagslocal subnetworks can interpret the same inhibition differently even inside one global network
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content_tags.findings[22]0.8the tagger's words
content_tagsanaesthetised and awake preparations agreed despite differing optogenetic parameters, suggesting the masking is robust
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content_tags.findings[23]1.0the tagger's words
content_tagsSCOPE STATED: both populations were driven nonselectively and diffusely in time, so natural differences in their dynamics could not show up
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content_tags.findings[24]1.0the tagger's words
content_tagslight was set near 40 microwatts, which suppressed firing to about half of control in most units
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content_tags.findings[25]1.0the tagger's words
content_tagssomatostatin cells are about a quarter of cortical interneurons and target mainly distal dendrites
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content_tags.findings[26]1.0the tagger's words
content_tagsPvalb is expressed in roughly ~50% of cortical inhibitory interneurons, including subtypes whose axons form baskets around the soma or chandeliers on the axon initial segment
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content_tags.findings[27]1.0the tagger's words
content_tagssubtractive suppression
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content_tags.definitions[0]the tagger's words
content_tagsdivisive suppression
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content_tags.definitions[1]the tagger's words
content_tagsiceberging
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also in: iceberging
content_tags.definitions[3]the tagger's words
content_tagsdivisive
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also in: divisive
content_tags.definitions[4]1.0the tagger's words
content_tagssubtractive
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also in: subtractive
content_tags.definitions[5]1.0the tagger's words
content_tagsA1
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also in: A1
content_tags.definitions[6]1.0the tagger's words
content_tagsdivisively suppressed neuron
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content_tags.definitions[7]the tagger's words
content_tagssubtractively suppressed neuron
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content_tags.definitions[8]the tagger's words
content_tagsfiring rate over time
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content_tags.variables[4]the tagger's words
content_tagssuppression
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also in: suppression
content_tags.variables[9]1.0the tagger's words
content_tagsbandwidth
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also in: bandwidth
content_tags.variables[10]1.0the tagger's words
content_tagsthreshold
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also in: threshold
content_tags.variables[11]1.0the tagger's words
content_tagsregression slope
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content_tags.variables[12]the tagger's words
content_tagsy-intercept
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also in: y-intercept
content_tags.variables[13]the tagger's words
content_tagsg-test p = 0.54 — No detectable difference between Sst+ and Pvalb+ activation in the proportions of divisive, subtractive, mixed and neither suppression types (anesthetized mice)
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content_tags.quantities[0]the tagger's words
content_tagsn = 35 of 76 units; n = 27 of 63 units — Number of light-suppressed units showing divisive-only suppression, in Sst-ChR2 and Pvalb-ChR2 mice respectively
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content_tags.quantities[1]the tagger's words
content_tagsn = 145 of 250 / n = 91 of 154 — Number of recorded single units that were tone-responsive in the Sst and Pvalb mouse lines
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content_tags.quantities[2]the tagger's words
content_tagsmedian r 2 = 0.73 ± 0.17 / 0.81 ± 0.17 — Median quality of the linear (threshold-linear) fit to suppression in awake Sst and Pvalb mice
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content_tags.quantities[3]the tagger's words
content_tagsrank-sum p = 0.63 — No difference between Sst+ and Pvalb+ activation in the distribution of bandwidth changes
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content_tags.quantities[4]the tagger's words
content_tags40 µW / 50% / 65%–75% — Light power used in anesthetized recordings, the typical degree of firing suppression it produced, and the fraction of units so suppressed
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content_tags.quantities[5]the tagger's words
content_tagsg-test p = 0.54 — the null on which the whole argument turns: suppression-type proportions did not differ between classes
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content_tags.quantities[6]1.0the tagger's words
content_tagsroughly 25% — share of cortical interneurons expressing somatostatin
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content_tags.quantities[7]1.0the tagger's words
content_tags~50% — share expressing parvalbumin
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content_tags.quantities[8]1.0the tagger's words
content_tagsnear 40 µW — light power, chosen to suppress firing to about half of control
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content_tags.quantities[9]1.0the tagger's words
content_tags<10% — misexpression in the driver lines, the bound on off-target activation
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WHOSE RESULT THIS IS: Pfeffer et al., 2013 ) who found - THE EVIDENCE FOR THIS ROW ATTRIBUTES THE WORK TO SOMEBODY ELSE. The cited name is the subject of a result verb and the sentence carries no first-person marker, so the finding, quantity or definition is the CITED author's rather than this record's. The claim is true and the quote is verbatim - what is wrong is whose result the corpus says it is. Nothing edited, nothing withdrawn: the row is marked so a page can name the source. Where the record is a commentary or review, its claim relations layer usually already names the paper being discussed - the record knows at one layer and forgets at another.
content_tags.quantities[10]1.0the tagger's words

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