Task difficulty and performance induce diverse adaptive patterns in gain and shape of primary auditory cortical receptive fields — TEI-tagged view

Atiani, Elhilali, David, Fritz, Shamma · 2009 · neuroscience · doi:10.1016/j.neuron.2008.12.027 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. Claim type is 'mechanism': the contribution is not that plasticity occurs (established in the cited earlier work) but how it is composed - a global gain term plus an orthogonal shape term whose signs differ for near- and far-from-target cells as difficulty changes. The behavioural arm (three ferrets, lick-withdrawal times, probe trials) makes 'behavioural-experiment' a defensible secondary method tag; 'electrophysiology' is primary because the claim rests on 237 single-unit STRFs recorded during behaviour. The 'replicates' relation is recorded on the paper's own wording 'broadly consistent with'; it is convergence with the same laboratory's prior work rather than an independent replication, which is why replication status remains 'untested'. The paper also reports an internal analytic robustness check using David et al. (2008)'s alternative shape measure, and a naive-animal control (93 units, no consistent STRF change without behaviour), neither of which is an external replication. 2026-08-13 and 2026-08-15 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Other fields define these differently the same word, defined another way in another discipline
attention 36 fields · plasticity 4 fields · signal-to-noise ratio 4 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
spectrotemporal receptive fields STRF5 task difficulty4 signal-to-noise ratio7 gain10 shape5 contrast matched filter best frequency7 TORCs lick withdrawal time primary auditory cortex2 attention29 probe trials 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
phenomenonrapid task-related plasticity of auditory cortical receptive fields— “We have previously described a form of rapid cortical plasticity in which the spectro-temporal receptive fields (STRFs) in primary auditory cortex (A1) adapt during the task in a manner that maximizes the discrimination of the target (foreground) relative to reference (background) signals ( Fritz et al., 2003 ).”
claim-typemechanism— “The net effect of these adaptations was to accentuate the representation of the target tone relative to the noise, by enhancing responses of near -target cells to the tone during high-SNR tasks, while suppressing responses of far -from-target cells to the masking noise in low-SNR tasks.”
method — evidence— “This study explored the neural correlates of this perceptual ability by measuring rapid changes of spectrotemporal receptive fields (STRFs) in primary auditory cortex during detection of a target tone embedded in noise.”
object of study — evidence— “This study explored the neural correlates of this perceptual ability by measuring rapid changes of spectrotemporal receptive fields (STRFs) in primary auditory cortex during detection of a target tone embedded in noise.”
research question — evidence— “However, an important and currently unresolved question is whether the magnitude of these changes is influenced by task difficulty, or more specifically, by the perceptual difference between the target and reference signals that the animal must discriminate. Furthermore, it is unknown how exactly the underlying receptive fields change under…
contribution — evidence— “Compared to responses in the passive state, STRF gain decreased during task performance in most cells. By contrast, STRF shape changes were excitatory and specific, being strongest in cells with best frequencies near the target tone.”
transferfrom visual attention research: the finding that harder tasks recruit more attention, and the probe-trial design used to demonstrate it— “To test the hypothesis that more attentional resources were devoted during difficult (low SNR) tasks than during easy (high SNR) tasks, we modified the task structure by randomly inserting probe trials (25%) of intermediate difficulty during a block of difficult or easy trials (75%). We reasoned that if detection levels of the rarer probes…transfers[0]
transferfrom signal processing: the matched filter, imported as the model for how a receptive field should adapt to separate foreground from background— “In all these experiments, the pattern of STRF changes that emerged followed a simple model in which the acoustic features of the foreground were enhanced and those of the background suppressed, a hypothesis which we called a “contrast matched filter”transfers[1]
mechanismLowering target SNR raises the attentional effort the animal must invest, and that increased effort drives larger adaptive changes in the receptive field— “As target SNR decreased, distinguishing the target from the reference noise became more difficult, requiring more attention or effort, which, we predicted, could cause larger adaptive changes in the STRF.”mechanisms[0]
mechanismPulling a tone out of a masker requires simultaneously suppressing the responses driven by the concurrent noise and enhancing sensitivity to the tone— “Hence the process of extracting the tone component of the target necessitated suppression of responses to this concurrent masking noise while simultaneously enhancing the sensitivity to the target tone.”mechanisms[1]
mechanismWhich direction a cell changes is set by what drives it: near cells are enhanced by proximity to the target tone, far cells are suppressed because the behaviourally relevant broadband masker drives them— “In the current experiments, the excitatory enhancements induced in the near-cells stem from their proximity to the target tone, whereas the strong suppression in the far cells was due to the behaviorally relevant broadband masking noise that surrounded the target and drove the responses in those cells.”mechanisms[2]
mechanisma contrast matched filter: the acoustic features of the foreground are enhanced and those of the background suppressed— “In all these experiments, the pattern of STRF changes that emerged followed a simple model in which the acoustic features of the foreground were enhanced and those of the background suppressed, a hypothesis which we called a “contrast matched filter”mechanisms[3]
mechanismthe net effect keeps the target salient by two different routes - enhancing near cells when the tone is loud, suppressing far cells when it is buried— “To summarize, in high SNR tasks, the target induces positive changes in nearby STRFs, thereby enhancing the representation of the target tone, similar to earlier findings with pure-tone targets ( Fritz et al., 2003 ). Decreasing the target tone (low SNR) causes overall gain suppression, especially in far cells, thereby maintaining the…mechanisms[4]
mechanismthe active STRF is modelled explicitly as a scaled passive STRF plus an orthogonal shape change, S_d = g.S_b + delta— “We defined the active (during) STRF ( S d ) as the sum of a scaled passive (before-task) STRF ( S b ) and a…mechanisms[5]
mechanismSTRFs are measured from the reference TORCs alone, never during target presentation, so the measurement does not include the target
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mechanisms[6]
mechanismattentional load is validated behaviourally by inserting identical intermediate-difficulty probes into easy and hard blocks
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mechanisms[7]
extends Fritz et al. (2003; 2005; 2007a,b), the group's earlier demonstrations of rapid task-related STRF plasticity with pure-tone targets
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claim_relations[0]
builds-on the "contrast matched filter" hypothesis of Fritz et al. (2007a)
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claim_relations[1]
extends visual studies of task difficulty and attention (Boudreau et al., 2006; Spitzer et al., 1988; Spitzer and Richmond, 1991), which did not separate gain from shape
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claim_relations[2]
replicates earlier task-related plasticity results from the same group in tone-versus-TORC and tone-versus-tone paradigms (Fritz et al., 2003; 2005; 2007b)
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claim_relations[3]
extends Fritz et al. on rapid STRF plasticity with pure-tone targets
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claim_relations[4]
qualifies the contrast matched filter model, by showing the sign of the change depends on difficulty and on distance from target
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claim_relations[5]
extends visual studies showing task difficulty enhances attentional modulation, which did not separate gain from shape
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claim_relations[6]
qualifies their own gain-versus-difficulty result, which did not survive pooling across performance levels
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claim_relations[7]
senseplasticity here is rapid and reversible - measured as the difference between active and passive STRFs within a session, not as learning
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senses[0]
sensetask difficulty is operationalised as target SNR, and validated separately by lick withdrawal time and by probe-trial performance
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senses[1]
sensegain and shape are given distinct definitions by an explicit model: gain is the fraction of the STRF that keeps its original shape, shape change is the orthogonal remainder
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senses[2]
sensenear and far are defined by a 0.6-octave cut from the target frequency, which the paper calls arbitrary and tests
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senses[3]
controlthe target tone frequency and signal-to-noise ratio held constant throughout a given task — held — rules out a within-task change in the stimulus itself explaining the receptive-field change attributed to task difficulty
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controls[0]
differs invisual studies of task difficulty and attention (Boudreau et al., 2006; Spitzer et al., 1988; Spitzer and Richmond, 1991), which did not separate gain from shape — THE AXIS IS GAIN AGAINST SHAPE. 'These measurements, however, did not distinguish receptive field gain from shape changes, and how increased task difficulty affected them differentially.' Two ways a receptive field can change that a single measure cannot separate - so the earlier result is a sum of two effects that this paper's [7] then shows move differently with difficulty.
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claim_relations[2]
differs inthe contrast matched filter model, by showing the sign of the change depends on difficulty and on distance from target — THE AXIS IS DISTANCE FROM THE TARGET FREQUENCY, AND THE SIGN FLIPS ACROSS IT. 'when we grouped the plasticity changes by near and far cells, it became apparent that near cells on average were enhanced (red) whereas far cells were suppressed (blue).' The matched-filter model is qualified rather than refuted: it holds, with a sign that depends on where the cell sits.
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claim_relations[5]
differs invisual studies showing task difficulty enhances attentional modulation, which did not separate gain from shape — THE AXIS IS GAIN AGAINST SHAPE, on a second target. Same sentence as [2]: 'THESE MEASUREMENTS DID NOT DISTINGUISH RECEPTIVE FIELD GAIN FROM SHAPE CHANGES.' One limitation of one earlier method, disqualifying it for two different claims this paper makes - which is why the sentence supports two rows rather than one.
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claim_relations[6]
differs intheir own gain-versus-difficulty result, which did not survive pooling across performance levels — THE AXIS IS WHETHER THE CELLS ARE POOLED ACROSS PERFORMANCE LEVELS. 'This weak dependence of the gain on task difficulty, however, was not confirmed when we pooled the results from all cells in this study, i.e., including all performance levels.' The paper's own effect survives one analysis choice and not another, and it says which - an analyst decision reported as a result rather than buried in methods.
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claim_relations[7]
retractedEVIDENCE CORRECTED (RE-GROUNDED) · task difficulty —operationalised-as→ signal-to-noise ratio — RE-GROUNDED. The old span named neither endpoint; this clause states the operationalisation outright - difficulty IS the signal-to-noise ratio in this design.
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concept_edges[0]
notegain —contrasted-with→ shape — the paper's central result: they move in OPPOSITE directions in the same cells - gain decreased while shape changes were excitatory
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concept_edges[1]
audittask difficulty —causes→ attention — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span states a hypothesis about attentional resources; causes states it as a finding.
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concept_edges[2]
notetask difficulty —causes→ attention — and it is tested rather than assumed, via probe trials of identical difficulty in easy and hard blocks
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concept_edges[2]
weighttask difficulty —causes→ attention — 0.9
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concept_edges[2]
auditattention —operationalised-as→ probe trials — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but probe trials were inserted to test attention; operationalised-as is loose.
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concept_edges[3]
weightattention —operationalised-as→ probe trials — 0.9
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concept_edges[3]
notetask difficulty —operationalised-as→ signal-to-noise ratio — RE-GROUNDS another row of this record: the relation was always stated, the endpoint names were not in the span.
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concept_edges[5]
noteSTRF —operationalised-as→ TORCs — RE-GROUNDS another row of this record: the old span named ONE endpoint.
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concept_edges[6]
weightSTRF —operationalised-as→ TORCs — 0.95
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concept_edges[6]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
replicationuntested
limitationSTRF frequency resolution is too coarse to exclude that some A1 neurons build narrow matched filters at the exact target frequency.
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limitations[0]
limitationIt is unknown how far the gain-reduction/shape-enhancement pattern is specific to the tone-in-noise task, its avoidance paradigm, or the fixed noise level.
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limitations[1]
limitationMost cells could not be held across multiple task conditions, so difficulty comparisons are largely between rather than within cells.
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limitations[2]
limitationDisentangling stimulus structure from behavioural paradigm requires further experiments; the interpretations offered are conjectures.
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limitations[3]
limitationThe 0.6-octave boundary dividing near from far cells was an arbitrary choice.
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limitations[4]
limitationthe near/far dividing line is arbitrary, stated as such, and shown not to change the results
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limitations[5]
limitationthe standard STRF power normalisation used in the group's previous papers does not separate gain from shape
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limitations[6]
limitationthe dependence of gain on task difficulty was NOT confirmed when all performance levels were pooled
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limitations[7]
limitationchanges often persisted after the task with no systematic relation to the type of plasticity
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limitations[8]
limitationmost cells were recorded in only one task condition, so within-cell comparison across difficulties is limited
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limitations[9]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingEngaging in the detection task reduced overall STRF gain in the majority of recorded cells relative to the passive state.
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content_tags.findings[0]
findingShape changes, unlike gain changes, were excitatory and frequency-specific, concentrated in cells tuned near the target tone.
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content_tags.findings[1]
findingThe combined gain and shape adaptations sharpened the target-versus-noise representation differently at high and low SNR.
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content_tags.findings[2]
findingThe magnitude of receptive-field adaptation tracked behavioural performance, being greatest in the best-performing sessions.
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content_tags.findings[3]
findingSuppression of receptive fields grew as the task became harder and reached significance only in the low-SNR condition.
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content_tags.findings[4]
findingBehaviourally, lick withdrawal time lengthened as target SNR fell, in all three ferrets.
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content_tags.findings[5]
findingIdentical intermediate probe trials were discriminated better within hard blocks than within easy blocks.
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content_tags.findings[6]
findingNaive animals exposed to the identical stimuli showed some minor but no consistent receptive-field changes.
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content_tags.findings[7]
findingThe gain reduction was a broad, difficulty-independent effect present in near and far cells alike, in contrast to the difficulty-dependent shape changes.
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content_tags.findings[8]
findingGoing from high to low SNR targets suppressed firing to the reference noise by roughly a third.
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content_tags.findings[9]
findinggain decreased in most cells during task performance while shape changes were excitatory and specific
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content_tags.findings[10]
findinggrouped by distance from the target, near cells were on average enhanced and far cells suppressed
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content_tags.findings[11]
findingsuppression became significant only in the low SNR tasks, at about -13%
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content_tags.findings[12]
findingthe same tone placed far from a cell's BF produced suppression where near placement produced enhancement
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content_tags.findings[13]
findingthe trend of increasing suppression at low SNR repeated in this subset, with the STRF changes amplified
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content_tags.findings[14]
findingnaive animals given identical stimuli showed no consistent STRF changes
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content_tags.findings[15]
findingraising difficulty suppressed firing to the reference noise by about a third overall
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content_tags.findings[16]
findingprobe trials of identical difficulty were detected about 10% better inside hard blocks than inside easy ones
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content_tags.findings[17]
findinggain was at or below 1 in most cells, with medians near 0.9 for near-high-SNR and 0.7 for far-low-SNR
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content_tags.findings[18]
quantity237 — single cells in the population analysis of receptive-field plasticity, from two behaving ferrets
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content_tags.quantities[0]
quantity93, 57, and 87 — single units in the high, mid and low SNR difficulty groups respectively
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content_tags.quantities[1]
quantitymean = −13.1 % — average amplitude change at best frequency in the low-SNR (hardest) condition
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content_tags.quantities[2]
quantity10–30% — reduction in STRF gain caused by task engagement
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content_tags.quantities[3]
quantity0.9 and 0.7 — median gain values for near cells in high-SNR tasks and far cells in low-SNR tasks (values below 1 mean suppression)
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content_tags.quantities[4]
quantity350 ms — lick withdrawal time after target onset in the easiest (pure tone) detection task
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content_tags.quantities[5]
quantity0.6 octaves — best-frequency distance criterion separating near cells from far cells
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content_tags.quantities[6]
quantity85 — cells from the top-third best-performing sessions analysed separately
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content_tags.quantities[7]
quantity93 units from 3 naïve animals — control sample recorded with identical stimuli but no behavioural task
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content_tags.quantities[8]
quantity0.6 octaves — the near/far dividing line, called arbitrary and shown not to matter
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content_tags.quantities[9]
quantity112 near versus 125 far cells — the balance the cut produced
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content_tags.quantities[10]
quantity93, 57 and 87 single units in high, mid and low SNR — the difficulty groups
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content_tags.quantities[11]
quantity-13.1%, p < 0.05 — mean suppression, significant only at low SNR
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[12]
quantity58.6% versus 69.2% — probe detection in easy versus hard blocks at identical SNR
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[13]
quantity93 units from 3 naive animals — the no-behaviour control
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content_tags.quantities[14]
quantity350 ms — lick withdrawal time for a pure-tone target
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content_tags.quantities[15]
variableperformance level (moderator)
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content_tags.variables[2]
variableSTRF gain (dependent)
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content_tags.variables[4]
variablelick withdrawal time (dependent)
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content_tags.variables[5]
variablenaïve animals (control)
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content_tags.variables[6]
variabletarget SNR
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content_tags.variables[8]
variablediscrimination rate
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content_tags.variables[10]
definitioncontrast matched filter
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content_tags.definitions[0]
definitionlick withdrawal time (LWT)
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content_tags.definitions[1]
definitionTORC
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content_tags.definitions[5]
definitioncontrast matched filter
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[6]
definitionlick withdrawal time
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[8]
key-termsspectrotemporal receptive field, STRF, task difficulty, signal-to-noise ratio, gain, shape, contrast matched filter, best frequency, TORC, attention, primary auditory cortex, ferret, plasticity, probe trials, masker, lick withdrawal time, conditioned avoidance, passive, suppression, enhancement
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.
conceptshape — not defined in this paper's own words; the orthogonal remainder not captured by scaling
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[5]
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.
ANOVA p as written: Using ANOVA
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content_tags.statistics[0]
p-value p as written: (p<0.01)
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content_tags.statistics[1]
median as written: median of approximately 0.9 and 0.7
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content_tags.statistics[2]
mean as written: mean = −13.1 %
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content_tags.statistics[3]
ANOVA across SNR conditions
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[4]
STRF power normalisation
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[5]
an alternative noise-aware shape-change method
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[6]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
methodSTRFs measured from responses to modulated broadband TORC references during and before a conditioned-avoidance tone-in-noise detection task, at target SNRs from +15 to -10 dB — a second reading DIFFERING from the recorded value; recorded: electrophysiology
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.method
phenomenonattention-driven receptive field plasticity in primary auditory cortex — a second reading DIFFERING from the recorded value; recorded: rapid task-related plasticity of auditory cortical receptive fields
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alternatives.phenomenon

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