An emergent population code in primary auditory cortex supports selective attention to spectral and temporal sound features

Downer, Verhein, Rapone, O’Connor, Sutter · bioRxiv · 2020 · neuroscience · 10.1101/2020.03.09.984773 · record Downer2020-an-emergent-population-code-in-primary-audit
tag layer · index · concepts · authors · עברית
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. Claim type is a genuinely mixed case: the paper reports a single-neuron null result ('Importantly, contrary to a vast literature across sensory modalities showing that attention improves single-neuron sensory encoding, we find no overall or average attentional modulation of single A1 neurons.') alongside its positive population-level mechanism claim; mechanism was tagged because the headline contribution is the emergent population code, and the null is recorded as the contradicts relation. This is a bioRxiv preprint that states on every page it was not certified by peer review, which the facets cannot express. 2026-08-14, 2026-08-15, 2026-08-25 and 2026-08-26 schema-0.3 passes: every quote verified as an exact substring of the staged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 WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below.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
principal component analysis 5 fields · logistic regression 3 fields · bootstrap 2 fields · linear regression 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 5 concept tags on this paper, all 5 are grounded in a quoted sentence. 2 carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
population code single-neuron representation psychophysical threshold conditions variables Because feature tuning co-varies within single neurons, a gain applied to individual cells cannot separate the two features; only re-weighting neurons at the population level recovers a feature-specific signal. Mixed selectivity cancels the average effect of feature-specific gain, which is why single-neuron measures show nothing while the population does. The attentional benefit is carried by higher-order correlations among neurons, i.e. it is an emergent property of the ensemble rather than a sum of single-cell effects. Population coding unfolds in stages over the stimulus: a fast feature-general change detection followed by finer feature discrimination. targeted dimensionality reduction (TDR) de-mixing feature-specific gain (FSG) ROC area choice probability (CP) surrogate population task context AM depth spectral bandwidth trial-by-trial spike count behavioral report AM frequency noise correlations neuron-intrinsic variability logistic regression binomial logistic regression model multiple linear regression Wilcoxon signed rank test sign rank test ROC / signal detection analysis area under the Receiver Operating Characteristic (ROC area) bootstrap bootstrapping approach Spearman correlation t-test single-distribution t-test support vector machine with held-out test set linear support vector machine was fit to a training set Fano factor (variance-to-mean ratio) Fano factor (variance/mean rate) principal component analysis principal component analysis-based spike sorting z-score standardisation z-scoring spike count distributions linear regression fitting a linear regression to those noise correlation values electrophysiology

Legend

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
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
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
phenomenonphenomenonthe effect or regularity under study
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/10.1101/2020.03.09.984773. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 2 · claim_type 1 · concept_edges 2 · concepts 5 · content_tags 47 · controls 1 · limitations 8 · mechanisms 4 · method 1 · phenomenon 1 · senses 4 · transfers 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; 1 of 2 relations here carries that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
claim_typemechanism
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claim_typethe paper's words
phenomenonfeature-selective auditory attention
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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
mechanismsmechanisms
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mechanisms[3]the tagger's words
limitationsThe analysis uses only firing rate, not spike timing.
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limitations[0]the tagger's words
limitationsBecause many bandwidth targets were also amplitude-modulated, phase locking could signal a target in both attention conditions, so the task may not have been demanding enough to reveal attentional effects on spike timing.
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limitations[1]the tagger's words
limitationsNeurons were pooled across sessions and trials resampled, so real correlated and intrinsic variability had to be reintroduced by modelling rather than measured simultaneously.
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limitations[2]the tagger's words
limitationsThe task may be too easy to force attention-related changes in A1 temporal dynamics.
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limitations[3]the tagger's words
limitationsThe two levels of analysis disagree on the same data: attention does not enhance the single-neuron representation, while the population analysis shows enhanced encoding.
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what this limits: a single-neuron measurement used to decide whether attention enhances sensory encoding: in these data it does not, while the population-level analysis of the same recordings shows that it does
limitations[4]1.0the tagger's words
limitationsThe physical stimulus differs between animals, because the values were tailored to each subject's own psychophysical thresholds rather than fixed.
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what this limits: pooling or comparing the two subjects at 'the same' stimulus level: the AM and ∆BW values were tailored per subject to that subject's own psychophysical thresholds
limitations[5]1.0the tagger's words
limitationsThe condition labels are defined by a sensitivity criterion, not by a physical quantity: 'near threshold' means the level at which d-prime equals 1.
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what this limits: the near/above-threshold conditions as physical stimulus levels: they are defined by the subject's measured sensitivity, at d-prime = 1, ~1.2 and >1.5
limitations[6]1.0the tagger's words
limitationsAn inclusion decision was made and checked, and the check is reported rather than the criterion being justified in advance.
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what this limits: the unit count in this study: 58 single units held for only two blocks are included, and the authors report that removing them does not qualitatively change the results
limitations[7]1.0the tagger's words
transfersper-subject psychophysical detection thresholds measured beforehand and used to set the stimulus values for single-unit recording, so neural responses are read against each animal's own perceptual scale
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transfers[0]0.8the tagger's words
controlsthe AM frequency presented on each trial chosen AT RANDOM rather than adaptively
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eliminates: SAMPLING BIAS TOWARDS THE CELLS THE EXPERIMENT IS ABOUT - searching for a frequency that drives the neuron finds AM-sensitive cells and quietly leaves the bandwidth-sensitive ones out of the population being described · outcome (stated by the tagger, no quotation): held
controls[0]0.95the tagger's words
conceptspopulation code
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concepts[0]the paper's words
conceptssingle-neuron representation
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concepts[1]the paper's words
conceptspsychophysical threshold
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concepts[2]the paper's words
conceptsconditions
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also in: conditions
concepts[3]0.9the paper's words
conceptsvariables
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also in: variables
concepts[4]0.9the paper's words
sensessensory representation - AT THE SINGLE-NEURON LEVEL: not enhanced by attention in these data, which is the paper's own negative result
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senses[0]1.0the tagger's words
sensessensory representation - AT THE POPULATION LEVEL: enhanced, tracking behaviour, and described as an emergent code NOT MEASURABLE at the single-neuron level
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senses[1]1.0the tagger's words
sensespsychophysical threshold - defined as the modulation level at which the subject's measured d-prime equals 1, so the condition is fixed by sensitivity rather than by the stimulus
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senses[2]1.0the tagger's words
senses`conditions` / `variables` - THE TWO MOST GENERIC WORDS IN EXPERIMENTAL SCIENCE, BOTH STIPULATED LOCALLY AND IN ONE BREATH. `in the present study we refer to “conditions” as distinct combinations of AM, ∆BW and context ... We refer to “variables” as the three dimensions along which all conditions vary.` Neither word is being used oddly - both are being pinned, because the analysis needs 26 of one and 3 of the other and the ordinary senses would collapse them. `in the present study` is the paper marking the scope of its own stipulation, which is exactly the marker a cross-paper corpus needs and almost never gets. A tag joining this record's `variables` to another paper's `variables` would join 3 dimensions to a table of measurements.
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senses[3]0.95the tagger's words
claim_relationscontradicts → Niwa et al. (2012b), Schwartz and David (2017) and von Trapp et al. (2016), which reported attention-related changes in A1 single-neuron tuning
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claim_relations[0]the tagger's words
claim_relationsbuilds-on → Mante et al. (2013) and Rigotti et al. (2013) population-level analyses of prefrontal cortex
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claim_relations[1]the tagger's words
concept_edgessingle-neuron representation —contrasted-with→ population code
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strength of the relation: 1
concept_edges[0]the tagger's words
concept_edgesvariables —distinct-from→ conditions
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the relation itself is separately evidenced · strength of the relation: 1 · note: The paper separates them by construction - conditions are combinations, variables are the axes those combinations range over, 26 against 3. Cue: 'distinct' appears in the conditions clause and the whole span is one stipulation. · the relation stated: We refer to “variables” as the three dimensions along which all conditions vary
also in: variables · conditions
concept_edges[1]0.9the tagger's words
content_tagslogistic regression
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content_tags.statistics[0]the tagger's words
content_tagsmultiple linear regression
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content_tags.statistics[1]the tagger's words
content_tagsWilcoxon signed rank test
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content_tags.statistics[2]the tagger's words
content_tagsROC / signal detection analysis
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content_tags.statistics[3]the tagger's words
content_tagsbootstrap
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also in: bootstrap
content_tags.statistics[4]the tagger's words
content_tagsSpearman correlation
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content_tags.statistics[5]the tagger's words
content_tagst-test
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also in: t-test
content_tags.statistics[6]the tagger's words
content_tagssupport vector machine with held-out test set
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content_tags.statistics[7]the tagger's words
content_tagsFano factor (variance-to-mean ratio)
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content_tags.statistics[8]the tagger's words
content_tagsprincipal component analysis
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content_tags.statistics[9]the tagger's words
content_tagsz-score standardisation
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content_tags.statistics[10]the tagger's words
content_tagslinear regression
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content_tags.statistics[11]the tagger's words
content_tagsIndividual A1 neurons carried mixed selectivity, encoding both the spectral and temporal sound features and the attention condition.
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content_tags.findings[0]the tagger's words
content_tagsAttention produced no average enhancement of feature encoding in single A1 neurons.
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content_tags.findings[1]the tagger's words
content_tagsNeurons were as likely to increase as to decrease their AM ROC area across attention conditions (p = 0.74).
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content_tags.findings[2]the tagger's words
content_tagsContext had a significant main effect in more neurons than either acoustic feature.
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content_tags.findings[3]the tagger's words
content_tagsAfter targeted dimensionality reduction, the population code decoded each sound feature better when that feature was attended.
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content_tags.findings[5]the tagger's words
content_tagsThe attentional advantage in the population code was large and highly reliable across simulated populations.
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content_tags.findings[6]the tagger's words
content_tagsThe observed attentional modulation exceeded that of every surrogate population in which higher-order correlations had been destroyed.
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content_tags.findings[7]the tagger's words
content_tagsAM-axis population projections were significantly related to task performance (mean choice probability 0.573).
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content_tags.findings[8]the tagger's words
content_tagsBoth monkeys weighted the attended feature more heavily than the unattended one in their yes/no reports.
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content_tags.findings[9]the tagger's words
content_tagsAttention did not alter spike timing: phase locking to the temporal envelope was unaffected by the attention condition.
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content_tags.findings[10]the tagger's words
content_tagsPopulation trajectories began with an early non-selective course in which each stimulus projected to about the same region of the subspace.
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content_tags.findings[11]the tagger's words
content_tagstargeted dimensionality reduction (TDR)
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content_tags.definitions[0]the tagger's words
content_tagsde-mixing
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also in: de-mixing
content_tags.definitions[1]the tagger's words
content_tagsfeature-specific gain (FSG)
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content_tags.definitions[2]the tagger's words
content_tagsROC area
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also in: ROC area
content_tags.definitions[3]the tagger's words
content_tagschoice probability (CP)
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content_tags.definitions[4]the tagger's words
content_tagssurrogate population
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content_tags.definitions[6]the tagger's words
content_tagstask context
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also in: task context
content_tags.variables[0]the tagger's words
content_tagsAM depth
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also in: AM depth
content_tags.variables[1]the tagger's words
content_tagsspectral bandwidth
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content_tags.variables[2]the tagger's words
content_tagstrial-by-trial spike count
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content_tags.variables[3]the tagger's words
content_tagsbehavioral report
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content_tags.variables[4]the tagger's words
content_tagsAM frequency
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also in: AM frequency
content_tags.variables[5]the tagger's words
content_tagsnoise correlations
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content_tags.variables[8]the tagger's words
content_tagsneuron-intrinsic variability
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content_tags.variables[9]the tagger's words
content_tags92 — single A1 neurons recorded, from two rhesus macaques
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content_tags.quantities[0]the tagger's words
content_tags0.151 — average increase in population ROC area for AM when AM was the attended feature
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content_tags.quantities[1]the tagger's words
content_tagsp = 0.73 and 0.74 — sign rank p-values showing no attentional change in single-neuron BW and AM sensitivity
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content_tags.quantities[2]the tagger's words
content_tags0.633 (p=1.12e-61) — mean choice probability for projections into the full three-dimensional task-variable subspace
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content_tags.quantities[3]the tagger's words
content_tags1000 — surrogate populations built with intact single-neuron tuning but destroyed higher-order correlations
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content_tags.quantities[4]the tagger's words
content_tags26 (13 x 2) — total experimental conditions, being 13 sound combinations crossed with two attention blocks
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content_tags.quantities[5]the tagger's words
content_tags47 total sessions, p = 8.98e-8 — behavioural sessions and the sign rank p-value showing attention shifted the animals' feature weighting
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content_tags.quantities[6]the tagger's words
content_tagsn = 434 pairs — simultaneously recorded neuron pairs used to estimate the noise correlations imposed on simulated populations
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content_tags.quantities[7]the tagger's words
content_tags65 dB SPL — calibrated presentation level of every sound stimulus at the outer ear
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content_tags.quantities[8]the tagger's words
content_tags400 ms — duration of each of the two sounds in a trial
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content_tags.quantities[9]the tagger's words

Interpretive choices

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