Parvalbumin-Expressing Inhibitory Interneurons in Auditory Cortex Are Well-Tuned for Frequency — TEI-tagged view

Moore, Wehr · 2013 · neuroscience · doi:10.1523/jneurosci.0663-13.2013 · 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. Replication status is 'contested' because the paper itself documents that the same question answered with waveform-based (FS/RS) classification gives the opposite result in cat and rat A1, and its gain finding is explicitly inconsistent with Wu et al. (2008); the paper reconciles this by arguing that FS and PV+ are overlapping but non-identical populations. Note the tuning-width comparison is formally a non-significant difference (p = 0.06, KS p = 0.08), so the headline 'well tuned' claim rests on an accepted null plus the positive observation that PV+ best frequencies matched the local population; claim type is recorded as existence rather than null-result because that is how the paper frames its contribution. 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
standard deviation 3 fields · latency 2 fields · response latency 2 fields · white noise 2 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
PV+22 ChR211 tuning width2 spike width2 waveform5 intensity tuning2 best frequency7 endslope FS3 untuned local pooling cotuning lateral inhibition2 tonotopically2 monotonicity index rate-level function latency19 characteristic frequency4 auditory cortex19 visual cortex9 basket cells3 white noise4 electrophysiology110

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Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonfrequency tuning of parvalbumin-positive interneurons in auditory cortex— “Here we characterized the tuning and response properties of parvalbumin-positive (PV+) interneurons, the largest inhibitory subclass.”
claim-typeexistence— “In contrast to PV+ neurons in mouse visual cortex, which are broadly tuned for orientation, we found that auditory cortical PV+ neurons were well tuned for frequency, although very tightly tuned PV+ cells were uncommon.”
method — evidence— “We obtained single-unit extracellular recordings from optogenetically identified PV+ neurons in mice that expressed ChR2 specifically in PV+ cells.”
object of study — evidence— “Pharmacological and whole-cell voltage-clamp studies have indicated important computational functions for cortical inhibition, such as shaping receptive fields, enhancing temporal precision, and providing gain control ( Wang et al., 2002b ; Wehr and Zador, 2003 ; Tan et al., 2004 ; Wu et al., 2006 ). However, these methods lump together all…
research question — evidence— “The morphological and physiological diversity of interneurons suggests that these different subclasses have unique roles in sound processing; however, these roles are yet unknown. Understanding the receptive field properties of distinct inhibitory cell types will be critical to elucidating their computational function in cortical…
contribution — evidence— “In contrast to PV+ neurons in mouse visual cortex, which are broadly tuned for orientation, we found that auditory cortical PV+ neurons were well tuned for frequency, although very tightly tuned PV+ cells were uncommon. This suggests that PV+ neurons play a minor role in shaping frequency tuning, and is consistent with the idea that PV+…
transferfrom visual cortex research: the unbiased local pooling principle, carried across modalities as a prediction that reverses because auditory cortex is columnar where mouse V1 is not— “If this principle generalizes across sensory modalities, PV+ neurons in mouse auditory cortex should be well tuned for frequency, because it has tonotopically organized frequency columns.”transfers[0]
transferfrom psychophysics of loudness coding: the monotonicity index and rate-level function decomposition, used to give intensity tuning a single number— “Monotonicity index (MI) characterizes the strength of a cell's intensity tuning. We defined MI as the neuron's response at maximum intensity (90 dB) divided by its maximum response ( Sutter and Schreiner, 1995 ; de la Rocha et al., 2008 ; Watkins and Barbour, 2011 ). An MI of 1 indicates no intensity tuning; an MI near zero…transfers[1]
mechanismPV+ interneurons pool densely and without bias from excitatory neurons in a small local radius, so their tuning inherits the feature organization of that local patch - homogeneous in a columnar or tonotopic area, heterogeneous in a salt-and-pepper one— “Because PV+ neurons densely sample a small radius, their tuning is expected to reflect feature organization in local networks: in orientation columns in cat V1 and vibrissa barrels in rodent S1, PV+ cells will sample inputs with homogeneous tuning, and thus themselves will be well tuned”mechanisms[0]
mechanismGreater monotonicity keeps PV+ firing rates rising over a wider span of sound levels, which stretches the level dynamic range and thereby flattens the slope of the rate-level function— “Moreover, Δ dB was correlated with MI ( r = 0.377, p < 0.01), suggesting that the greater monotonicity of PV+ neurons is responsible for their increased dynamic range in sound level, and thus their comparatively shallow response gain.”mechanisms[1]
mechanismFaster membrane time constants combined with strong thalamocortical synaptic drive make PV+ cells fire early, placing them in a feedforward inhibitory loop that sharpens the timing of pyramidal responses— “The rapid activation of PV+ neurons may arise from faster membrane time constants ( Cardin et al., 2007 ) in combination with potent thalamocortical synaptic drive ( Swadlow, 2003 ), as has been shown for FS cells in V1 and S1, respectively.”mechanisms[2]
mechanismPV+ cells densely sample a small radius, so their tuning should mirror how the local network is organised - broad where tuning is salt-and-pepper, narrow where it is columnar— “Because PV+ neurons densely sample a small radius, their tuning is expected to reflect feature organization in local networks: in orientation columns in cat V1 and vibrissa barrels in rodent S1, PV+ cells will sample inputs with homogeneous tuning, and thus themselves will be well tuned ( Simons, 1978 ; Hirsch et al., 2003 ; Cardin et al.…mechanisms[3]
mechanismcotuned inhibition sharpens spike tuning through a thresholding or iceberg mechanism rather than by suppressing non-preferred stimuli— “More recently, voltage-clamp studies have shown that excitation and inhibition are instead cotuned for frequency and approximately fixed in their relative proportions ( Wehr and Zador, 2003 ; Zhang et al., 2003 ; Tan et al., 2004 ; for review see Oswald et al., 2006 ). In the cotuning model, inhibition moderately sharpens spike tuning through…mechanisms[4]
mechanismvery short PV+ latencies suggest a feedforward inhibitory network driven rapidly by thalamocortical excitation— “We found that PV+ neurons had markedly faster response latencies than PV− neurons. These very short latencies suggest that PV+ neurons participate in a feedforward inhibitory network that is rapidly activated by thalamocortical excitation, and likely underlies the sequence of early synaptic excitation and inhibition seen in whole-cell…mechanisms[5]
mechanismmonotonic PV+ rate-level functions support local inhibition shaping intensity tuning in auditory cortex— “We found that PV+ neurons were highly monotonic for pure tones at their characteristic frequency compared with PV− neurons. This supports the idea that local inhibition shapes intensity tuning in auditory cortex, and that it is provided at least in part by PV+ neurons.”mechanisms[6]
mechanismthe pooling and feedforward roles could be performed in sequence, or simultaneously for continuous sounds— “Is a role in providing rapid feedforward inhibition compatible with the local pooling hypothesis? PV+ neurons could play both roles, perhaps sequentially. After providing an initial volley of feedforward inhibition, PV+ neurons could then pool activity from the local cortical network and provide ongoing feedback inhibition. Both roles could…mechanisms[7]
contradicts Wu et al. (2008), FS cells in rat A1— “This was also true when we separated cells according to spike width, which is inconsistent with a previous study of FS cells in rat A1 ( Wu et al., 2008 ).”claim_relations[0]
builds-on local-pooling account of PV+ tuning (Kerlin et al., 2010; Hofer et al., 2011)— “Our finding that the tuning widths of PV+ and PV− neurons were not significantly different is consistent with the idea that PV+ cells nonselectively “pool” input from local excitatory neurons ( Kerlin et al., 2010 ; Hofer et al., 2011 ).”claim_relations[1]
replicates Atencio and Schreiner (2008), FS cells in auditory cortex— “This is consistent with a previous study of FS cells in auditory cortex ( Atencio and Schreiner, 2008 ).”claim_relations[2]
contradicts lateral inhibition models in which sharpening comes from inhibitory neurons more broadly tuned than excitatory ones— “Lateral inhibition models propose that inhibition sharpens spike tuning by specifically inhibiting responses to nonpreferred stimuli ( Calford and Semple, 1995 ; Chen and Jen, 2000 ; Sutter and…claim_relations[3]
supports the cotuning model in which excitation and inhibition share frequency tuning and inhibition sharpens by thresholdingclaim_relations[4]
extends the local unbiased pooling account of PV+ tuning developed in mouse visual cortex
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claim_relations[5]
critiques the use of extracellular spike waveform as a marker for PV+ interneurons in vivo
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claim_relations[6]
qualifies pharmacological and voltage-clamp studies that lump all sources of synaptic inhibition together
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claim_relations[7]
sensePV+ here means a cell that responded to blue light with a reliable short-latency burst, in a mouse where over 97 percent of PV-immunopositive cells carry the opsin - identity by manipulation, validated against a stain in two separate reporter lines
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senses[0]
sensethe FS/RS spike-width cutoff of 0.8 ms was set from THIS dataset, halfway between the two group means, and the paper states there is no consensus value in the literature because it may depend on the recording technology
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senses[1]
senseUNTUNED is a category created because the measure does not apply: a sound-responsive cell with disordered frequency-intensity structure has no meaningful tuning width, so it is labelled rather than fitted
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senses[2]
sensemonotonicity index is a ratio of the response at the loudest tested level to the maximum response, so 1 means no intensity tuning and near zero means strong tuning - the measure carries its own null
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senses[3]
sensethe 80 ms response window was chosen to exclude non-evoked spikes BECAUSE PV+ cells have high spontaneous rates - an analysis choice driven by one of the very differences under study
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senses[4]
controlrate-level functions NORMALISED before comparison — held — rules out the higher baseline firing rate of PV+ neurons as the source of the difference - without it, a cell type that simply fires more would appear to have a different rate-level relationship
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controls[0]
auditPV+ —contrasted-with→ visual cortex — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but auditory PV+ neurons are contrasted WITH PV+ neurons IN visual cortex; 'visual cortex' as the endpoint drops the cell type.
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concept_edges[1]
notePV+ —contrasted-with→ visual cortex — the same cell class gives OPPOSITE tuning answers in two modalities, and that is the result rather than a discrepancy
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concept_edges[1]
auditlocal pooling —causes→ tuning width — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the local pooling HYPOTHESIS PREDICTS similar tuning, and the data were consistent; causes is hedged.
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concept_edges[2]
notelocal pooling —causes→ tuning width — MECHANISM: dense sampling of a small radius means the cell inherits whatever tuning organisation that radius has - so a tonotopic area predicts well-tuned inhibitory cells
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concept_edges[2]
notewaveform —distinct-from→ PV+ — THE PROXY MEASURED AGAINST A GENETIC GROUND TRUTH AND FOUND WANTING: up to 40 percent misclassification from any single waveform measure
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concept_edges[5]
noteFS —distinct-from→ PV+ — the two are heterogeneous populations that OVERLAP BUT ARE NOT IDENTICAL - so results reported for one do not transfer to the other
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concept_edges[6]
auditPV+ —part-of→ basket cells — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but PV is expressed in only about half of basket cells; part-of is loose and runs the other way.
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concept_edges[8]
notePV+ —part-of→ basket cells — and only approximately half of basket cells express PV, which is the second reason the waveform proxy cannot work
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concept_edges[8]
weightPV+ —part-of→ basket cells — 0.5
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concept_edges[8]
noteuntuned —distinct-from→ tuning width — THE MEASURE HAS A DOMAIN: a sound-responsive cell with disordered structure gets a label rather than a number
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concept_edges[10]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — any comparison between the tuning-curve, rate-level and other sub-samples: DUE TO THE CONSTRAINTS OF RECORDING DURATION, WE WERE NOT ABLE TO PRESENT ALL STIMULUS ARRAYS FOR ALL CELLS
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limitations[0]
for which uselimitation — the comparison group in every PV+ versus PV- result: PRESUMABLY, THESE PV- CELLS WERE ALMOST EXCLUSIVELY EXCITATORY PYRAMIDAL CELLS, ALTHOUGH A SMALL FRACTION (<12%) COULD HAVE BEEN PV- INHIBITORY INTERNEURONS
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limitations[1]
for which uselimitation — the reported heterogeneity of PV+ responses: it is LIKELY DUE AT LEAST IN PART TO THE DEGREE OF SPECIFICITY OF THE PV PROMOTER, WHICH EXPRESSES IN MORE THAN ONE CELL TYPE
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limitations[2]
for which uselimitation — the unbiased-pooling interpretation: WELL TUNED PV+ NEURONS ARE ALSO CONSISTENT WITH SELECTIVE CONNECTIVITY RATHER THAN UNBIASED POOLING, BECAUSE NARROW TUNING COULD FOLLOW FROM EITHER SCHEME
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limitations[3]
for which uselimitation — the negative conclusion about lateral inhibition: LATERAL INHIBITION COULD STILL BE IMPLEMENTED IN AUDITORY CORTEX IN AT LEAST TWO WAYS
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limitations[4]
duplicate oflimitation — limitations[1]
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limitations[5]
for which uselimitation — the same scope as limitations[1] - the PV- sample is defined by absence of a label, with a bound of under 12% on the contamination
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limitations[5]
for which uselimitation — the same scope as limitations[0] - stimuli PRESENTED TO OUR PV- SAMPLE WERE APPROXIMATELY MATCHED TO THE PV+ SAMPLE, not identically matched
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limitations[6]
for which uselimitation — the laminar generality of the PV+ results: NEURONS IN DEEP LAYERS WERE SLIGHTLY UNDERREPRESENTED IN OUR SAMPLE, though the depth distributions DID NOT DIFFER SIGNIFICANTLY
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limitations[7]
replicationcontested
limitationNot every stimulus set could be run on every cell, so the sub-samples for tuning curves, rate-level functions and latency differ.
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limitations[0]
limitationThe PV− comparison group is only presumed to be excitatory; a small fraction could be non-PV inhibitory interneurons.
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limitations[1]
limitationThe observed heterogeneity of PV+ response properties may partly reflect limited specificity of the PV promoter rather than true biological diversity.
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limitations[2]
limitationwell tuned PV+ cells are also consistent with selective connectivity rather than unbiased pooling, though that would be a different rule from other cortical areas
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limitations[3]
limitationlateral inhibition could still operate here, either through a different network configuration or through other inhibitory cell types
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limitations[4]
limitationa small fraction of the PV- sample could have been non-PV inhibitory interneurons rather than pyramidal cells
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limitations[5]
limitationrecording duration prevented presenting every stimulus array to every cell, so the two samples are only approximately matched
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limitations[6]
limitationdeep-layer neurons were slightly underrepresented relative to the anatomical distribution
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limitations[7]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingFrequency tuning width did not differ significantly between optogenetically identified PV+ interneurons and PV- neurons in mouse auditory cortex (0.84 vs 0.62 octaves).
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content_tags.findings[0]
findingVery tightly tuned cells (below 0.5 octaves) were about half as common among PV+ cells (29%) as among PV- cells (58%), even though the two distributions largely overlapped.
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content_tags.findings[1]
findingThe best frequency of every tuned PV+ neuron was within half an octave of its recording site's best frequency, so PV+ tuning matched the local population.
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content_tags.findings[2]
findingPV+ cells responded to best-frequency tones roughly 11 ms earlier than PV- cells (17.9 vs 29.1 ms).
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content_tags.findings[3]
findingThe latency advantage was stimulus-specific: for white noise, PV+ and PV- latencies did not differ significantly.
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content_tags.findings[4]
findingPV+ cells had twofold higher spontaneous firing rates than PV- cells (5.5 vs 2.0 Hz), and higher evoked rates.
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content_tags.findings[5]
findingAfter normalizing for their higher firing rates, PV+ cells had shallower response gain to characteristic-frequency tones than PV- cells (0.04 vs 0.15).
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content_tags.findings[6]
findingPV+ cells were markedly less intensity-tuned than PV- cells for tones at characteristic frequency: only 14% of PV+ cells were nonmonotonic compared with 55% of PV- cells.
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content_tags.findings[7]
findingFor white noise, PV+ and PV- neurons did not differ significantly in monotonicity.
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content_tags.findings[8]
findingClassifying cells by extracellular spike waveform instead of by PV expression would misclassify as many as 40% of them, so waveform is an unreliable marker of PV+ identity.
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content_tags.findings[9]
findingThe classification method changes the scientific conclusion: sorting the same cells by spike width rather than PV expression made narrow-spike cells come out significantly more broadly tuned than broad-spike cells (0.87 vs 0.60 octaves).
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content_tags.findings[10]
findingThe PV+/PV- differences reported across all layers held within each laminar group as well.
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content_tags.findings[11]
findingfrequency tuning widths of PV+ and PV- cells were not significantly different, as the local pooling account predicts for a tonotopic area
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content_tags.findings[12]
findingvery tightly tuned PV+ cells were comparatively rare, which fits pooling over locally diverse tuning
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content_tags.findings[13]
findingTHE PREDICTION WAS DERIVED BEFORE THE TEST: if unbiased pooling generalises across modalities, PV+ cells should be well tuned here because auditory cortex has frequency columns
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content_tags.findings[14]
findingand the same principle explains why PV+ cells are broadly tuned in mouse V1, which lacks orientation columns
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content_tags.findings[15]
findingthe tag was quantified in both directions and in two reporter lines: over 97 percent of PV-stained cells carried the opsin, and over 97 percent of reporter cells stained for PV
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content_tags.findings[16]
findingA CONTAMINATION BOUND COMPUTED RATHER THAN ASSERTED: from under 1 percent pyramidal-morphology reporter cells and 24 of 68 recordings in layer V, the sample is estimated to contain fewer than 0.24 pyramidal neurons
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content_tags.findings[17]
findingPV+ cells did have narrower spikes, 0.75 against 0.93 ms
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content_tags.findings[18]
findingbut the distributions overlapped on every waveform measure: 27 of 72 PV- cells had narrow spikes, 29 had negative endslopes, 17 had low peak/trough ratios
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content_tags.findings[19]
findingTHE PROXY QUANTIFIED AND REJECTED: any single waveform measure could misclassify up to 40 percent, and PV+ and FS are overlapping but non-identical populations
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content_tags.findings[20]
findingand there is no consensus spike-width cutoff in the literature, because it may depend on the recording technology
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content_tags.findings[21]
findingtwo reasons the proxy cannot work: extracellular duration depends on cell size and electrode position, and even intracellularly the fast-spiking to PV relation is not one to one
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content_tags.findings[22]
findingSOME CELLS GOT A LABEL INSTEAD OF A NUMBER: a sound-responsive neuron whose Gaussian fit was poor was categorized as untuned rather than given a tuning width
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content_tags.findings[23]
findingthe untuned criterion was declared arbitrary and varying it by plus or minus 0.2 did not change the result
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content_tags.findings[24]
findingfurther cells were dropped when best frequency exceeded the speaker range, leaving 31 PV+ and 34 PV- for tuning width
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content_tags.findings[25]
findingNO A PRIORI LATENCY CONSTRAINTS, and imposing several exclusion criteria afterwards did not change the results
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content_tags.findings[26]
findingand the latency result was confirmed with an alternative estimation method
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content_tags.findings[27]
findingPV+ neurons had markedly faster response latencies, read as feedforward inhibition driven by thalamocortical excitation
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content_tags.findings[28]
findingPV+ rate-level functions were more monotonic at characteristic frequency, supporting a role in shaping intensity tuning
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content_tags.findings[29]
findingSTIMULUS-DEPENDENT: for white noise, gain, dynamic range and monotonicity did not separate the two classes at all
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content_tags.findings[30]
findingthe broadly-tuned-inhibition version of lateral inhibition is inconsistent with equal tuning widths
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content_tags.findings[31]
findingand the far-projecting version is inconsistent with PV+ tuning matching the local field potential and with equal connectivity spread
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content_tags.findings[32]
findingso the results favour cotuning with only moderate impact on frequency tuning
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content_tags.findings[33]
findingthough lateral inhibition remains possible through a different network configuration or through other inhibitory cell types
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content_tags.findings[34]
findingA DISSOCIATION BETWEEN THE GENETIC AND PHYSIOLOGICAL CLASSES: tuning was equal for PV+ and PV- but slightly broader for FS cells, hinting at two distinct inhibitory networks
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content_tags.findings[35]
findingwell tuned PV+ cells would also follow from selective connectivity, which the data cannot exclude
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content_tags.findings[36]
findingthe recorded depth distribution matched the anatomical one, with deep layers slightly underrepresented
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content_tags.findings[37]
quantityn = 68 — PV+ interneurons identified in vivo by their short-latency responses to blue light
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content_tags.quantities[0]
quantityMore than 97% — proportion of PV-immunostained cells that expressed the ChR2-eYFP optogenetic tag (expression specificity)
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content_tags.quantities[1]
quantity31 PV+ and 34 PV− — cells surviving the tuning-curve exclusion criteria and entering the tuning-width analysis
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content_tags.quantities[2]
quantity0.75 ± 0.18 ms / 0.93 ± 0.29 ms — mean extracellular spike width of PV+ versus PV- cells
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content_tags.quantities[3]
quantityup to 40% — misclassification rate incurred by identifying PV+ cells from any single extracellular waveform measure
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content_tags.quantities[4]
quantityσ = 0.17 octaves to σ = 2.3 octaves — full range of measured frequency tuning widths across the 65 analysed cells
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content_tags.quantities[5]
quantity0.76 ± 0.22 / 0.55 ± 0.28 — mean monotonicity index at characteristic frequency for PV+ versus PV- cells
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content_tags.quantities[6]
quantity21.1 ± 18.3 Hz / 8.6 ± 6.5 Hz — firing-rate dynamic range of PV+ versus PV- rate-level functions
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content_tags.quantities[7]
quantity32 ± 18 dB / 19 ± 15 dB — sound-level dynamic range over which firing rate kept increasing, PV+ versus PV-
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content_tags.quantities[8]
quantityup to 40% — misclassification rate from separating cells by any single waveform measure
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content_tags.quantities[9]
quantity0.8 ms — the fast-spiking cutoff, set from this dataset because the literature has no consensus value
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content_tags.quantities[10]
quantity<0.24 pyramidal neurons — computed expected contamination of the 68-cell PV+ sample
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content_tags.quantities[11]
quantity0.75 ± 0.18 ms and 0.93 ± 0.29 ms — PV+ and PV- spike widths; PV+ cells indeed had narrower spikes
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content_tags.quantities[12]
quantity27/72 — PV- cells that would have been called fast-spiking on spike width alone
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content_tags.quantities[13]
quantity31 PV+ and 34 PV− — cells surviving both exclusions for the tuning width comparison, from 68 and 72 recorded
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content_tags.quantities[14]
variablefrequency tuning width (dependent)
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content_tags.variables[3]
variableresponse latency (dependent)
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content_tags.variables[4]
variablesound-evoked firing rate (dependent)
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content_tags.variables[5]
variablemaximal evoked firing rate (control)
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content_tags.variables[7]
variabledepth distributions (control)
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content_tags.variables[8]
variabletuning width
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content_tags.variables[9]
variablespike width
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content_tags.variables[10]
variablelatency
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content_tags.variables[11]
definitionmonotonicity index (MI)
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content_tags.definitions[0]
definitioncharacteristic frequency
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content_tags.definitions[1]
definitionresponse gain
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content_tags.definitions[2]
definitionendslope
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content_tags.definitions[3]
definitionmonotonicity index
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content_tags.definitions[5]
definitionuntuned
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content_tags.definitions[6]
definitionFS
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content_tags.definitions[7]
definitioncotuning
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content_tags.definitions[8]
key-termsPV+, PV−, ChR2, tuning width, spike width, endslope, FS, untuned, local pooling, cotuning, lateral inhibition, tonotopically, monotonicity index, rate-level function, latency, white noise, waveform, intensity tuning
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.
Wilcoxon rank-sum test p
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content_tags.statistics[0]
standard deviation SD as written: mean ± SD
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content_tags.statistics[1]
Kolmogorov-Smirnov test p as written: two-sample Kolmogorov–Smirnov test
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content_tags.statistics[2]
Fisher's exact test p
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content_tags.statistics[3]
ANOVA p as written: one-way ANOVA
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content_tags.statistics[4]
curve fitting (Gaussian) σ as written: σ of a Gaussian fit to the tuning curve
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content_tags.statistics[5]
goodness of fit / coefficient of determination R 2 as written: an arbitrary criterion of R 2 = 0.2
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content_tags.statistics[6]
correlation r as written: Δ dB was correlated with MI ( r = 0.377, p < 0.01)
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content_tags.statistics[7]
resampling (random subsampling of trials) as written: the mean of the distribution of estimates from 1000 such subsamples
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content_tags.statistics[8]
parametric model fitting as written: six-parameter, two-tailed split Gaussian
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content_tags.statistics[9]
Wilcoxon rank sum test
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content_tags.statistics[10]
two-sample Kolmogorov–Smirnov test
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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 reaching the same value; recorded: existence
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alternatives.claim_type
methodextracellular single-unit recording with optogenetic identification by light response, Gaussian fits to iso-intensity tuning curves and split-Gaussian fits to rate-level functions — a second reading DIFFERING from the recorded value; recorded: electrophysiology
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alternatives.method
phenomenonfrequency tuning widths of PV+ and PV- neurons that do not differ, with very tightly tuned PV+ cells uncommon — a second reading DIFFERING from the recorded value; recorded: frequency tuning of parvalbumin-positive interneurons in auditory cortex
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alternatives.phenomenon

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