Rapid Tuning of Auditory “What” and “Where” Pathways by Training — TEI-tagged view

Du, He, Arnott, Ross, Wu, Li, Alain · 2015 · neuroscience · doi:10.1093/cercor/bht251 · 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. method is tagged "meg" rather than the listed "electrophysiology" because magnetoencephalography is a magnetic, not electrical, recording and the paper's design is neuroimaging in the same sense as the listed "fmri"; the study also contains a behavioural training experiment (45-min training with accuracy measures), so a secondary behavioural-experiment tag would be defensible. The article text after the marker begins with the PMC site chrome and author block; all quoted sentences come from the Abstract, Introduction, Methods, Results or Discussion proper. No external replication of the double dissociation is claimed in the paper, hence untested. 2026-08-13 schema-0.3 pass: 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 · repetition priming 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
procedural learning perceptual sensitivity2 double dissociation4 ventral dorsal IFG2 IPL STG4 concurrent-vowel HRTF MEG5 ER-SAM repetition priming20 gain in accuracy semitone attention29 receptive fields3 electrophysiology110
Method, as described: meg

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 feature-specific auditory perceptual learning— “In the present study, we investigated whether a brief 45-min training program can yield a rapid feature-specific modulation on both behavior and neuromagnetic activity during subsequent measurement while participants identified 2 vowels presented simultaneously.”
claim-typeexistence— “To our knowledge, this is the first demonstration of a feature-specific gain in human brain activity following a brief training designed to enhance perceptual sensitivity to differences in voice pitch and voice location.”
method — evidence— “MEG data were recorded in a magnetically shielded room using a 151-channel whole-head neuromagnetometer (VSM Medtech, Port Coquitlam, BC, Canada).”
object of study — evidence— “Behavioral improvement within the first hour of training is commonly explained as procedural learning (i.e., strategy changes resulting from task familiarization). However, it may additionally reflect a rapid adjustment of the perceptual and/or attentional system in a goal-directed task.”
research question — evidence— “One important issue that has not been fully analyzed or confirmed is the specificity of the neuroplastic changes observed during these early stages of learning. Although animal studies have provided evidence for rapid adjustment of the perceptual system during training (for a review see Fritz et al. 2005a ), it remains to be determined…
contribution — evidence— “More importantly, the contrast between the 2 groups revealed a striking double dissociation in which listeners trained on spectral or spatial cues showed higher source activity in ventral (“what”) and dorsal (“where”) brain areas, respectively.”
transferfrom visual neuroscience: the what and where stream division, applied to audition— “acoustic features well known to stimulate distinct ventral (“what”) and dorsal (“where”) neural pathways in humans”transfers[0]
transferfrom psychoacoustics: HRTFs, used to render spatial separation over headphones— “The HRTF coefficients were individually determined by a brief sound localization task at the beginning of the experiment. On each trial, 1 of the 4 vowels was presented at 1 of the 5 azimuth locations (i.e., −90°, −45°, 0°, 45°, 90°) using a variety of HRTF coefficients selected from the TDT library that best suited the participant's…transfers[1]
transferfrom animal electrophysiology: the finding that task relevance, not exposure, drives rapid receptive-field change— “For instance, changes in the receptive fields of ferret auditory cortex can occur within minutes of a tone discrimination task that was previously learned ( Fritz et al. 2003 , 2005a , 2005b ). However, these neuroplastic changes were smaller or absent if the animal listened passively to the same sounds (i.e., when the sounds are…transfers[2]
mechanismthe training session acts as a priming episode that biases top-down attention toward the trained acoustic cue, so that cue is processed as more salient in the later untrained test— “In the present study, the training phase may act as a priming task that biased attention toward the trained acoustic feature even when, in the subsequent task, participants were not explicitly told to focus attention on the voice or location.”mechanisms[0]
mechanismthe implicit attentional bias makes the trained spectral or spatial difference more salient than the untrained one, which differentially recruits the ventral or dorsal auditory stream— “That is, the training may implicitly bias participants to focus their attention on the trained spectral or location difference between the 2 vowels, which would appear more salient than the untrained cue during MEG measurement that followed the brief training session.”mechanisms[1]
mechanismtraining may act as a priming task that biases attention to the trained cue, making it more salient later even without instruction— “In the present study, the training phase may act as a priming task that biased attention toward the trained acoustic feature even when, in the subsequent task, participants were not explicitly told to focus attention on the voice or location. That is, the training may implicitly bias participants to focus their attention on the trained…mechanisms[2]
mechanismthe selectivity survives the delay to the MEG session and the absence of feedback there— “This training-induced selectivity appears to be fairly long-lasting and resilient, as it lingers throughout the delay between training and MEG recording and remains even when participants did not receive feedback on their performance during the MEG session.”mechanisms[3]
mechanismtraining changes how the two cues combine, not just how well each is used— “However, here in both trained groups, the gain from the trained cue was almost as large as having both cues simultaneously, which was only slightly higher than that from the trained cue alone (both t 11 > 2.80, P < 0.05). Moreover, the sum of gains from each cue was considerably larger than having both cues simultaneously”mechanisms[4]
mechanismthe animal precedent is that receptive fields shift within minutes of a task, and much less when the same sounds are heard passively— “For instance, changes in the receptive fields of ferret auditory cortex can occur within minutes of a tone discrimination task that was previously learned ( Fritz et al. 2003 , 2005a , 2005b ). However, these neuroplastic changes were smaller or absent if the animal listened passively to the same sounds (i.e., when the sounds are…mechanisms[5]
builds-on Du et al. 2011— “Notably, we have previously shown that, in a group performing the same task on the same set of stimuli without pre-MEG training, the benefit from either the Δƒ 0 or Δlocation cue did not differ from one another and that from having access to both cues equaled the sum of gains for each single cue ( Du et al. 2011 ).”claim_relations[0]
extends Alain et al. 2007; Alain, Campeanu, et al. 2010; Ben-David et al. 2011; Spierer et al. 2007— “Our findings provide further evidence for rapid changes in cortical evoked responses after less than an hour of auditory training on sound spectro-temporal ( Alain et al. 2007 ; Alain, Campeanu, et al. 2010 ; Ben-David et al. 2011 ) or spatial ( Spierer et al. 2007 ) features, and offer the first neuroimaging evidence for rapid perceptual…claim_relations[1]
contradicts the view that first-hour improvement is procedural learning without feature specificityclaim_relations[2]
extends behavioural reports of within-session specificity, by supplying the neurophysiological evidence they lacked
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claim_relations[3]
confirms animal work showing receptive fields change within minutes of a task and much less during passive listening
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claim_relations[4]
builds-on Du et al. 2011, whose untrained group supplies the additivity baseline
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claim_relations[5]
supports the ventral what and dorsal where division of auditory cortical processing
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claim_relations[6]
sensedouble dissociation here means a RELATIVE bias in recruitment, not categorical separation - the paper says the group difference was not all or none
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senses[0]
sensethe gain measure is always a DIFFERENCE from the same-pitch same-location baseline, which is what makes it independent of stimulus familiarity
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senses[1]
sensespatial separation is simulated over headphones by a HRTF chosen per participant, so location is a rendered cue rather than a physical one
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senses[2]
sensefeature-specific learning is contrasted throughout with procedural learning, defined as strategy change from task familiarisation
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senses[3]
sensethe ventral and dorsal streams are imported as established what and where pathways, and the paper's dissociation is read against that prior assignment rather than establishing it
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senses[4]
controlthe first training block, before any training, compared between the two groups at the 0-semitone / 0-degree baseline — held — rules out a pre-existing difference between the two groups as the source of the later divergence
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controls[0]
controlcomparison against participants trained on the OTHER feature and against an untrained group from an earlier study — held — rules out improvement caused by mere exposure to the stimuli rather than by training on the specific feature
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controls[1]
controlanalysing the GAIN attributable to frequency or spatial separation rather than raw accuracy — held — rules out familiarity with the same stimuli across the training and the recording session as an explanation of the effect
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controls[2]
evidential statusbehavioural reports of within-session specificity, by supplying the neurophysiological evidence they lacked — the paper's own words: remains to be determined
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claim_relations[3]
noteprocedural learning —distinct-from→ perceptual sensitivity — CRITERION, stated in advance: procedural learning predicts comparable effects across differently trained groups, perceptual change predicts feature-specific gains. The rival is given its own prediction
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concept_edges[0]
noteventral —contrasted-with→ dorsal — SCOPED: the paper calls the group difference a bias in recruitment and not all or none, so the weight is deliberately below 1
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concept_edges[1]
weightventral —contrasted-with→ dorsal — 0.8
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concept_edges[1]
auditIFG —part-of→ ventral — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span lists IFG among regions more active in one group; part-of 'ventral' is loose.
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concept_edges[2]
weightIFG —part-of→ ventral — 0.9
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concept_edges[2]
auditIPL —part-of→ dorsal — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span lists parietal regions as posterior and dorsal; part-of 'dorsal' is loose.
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concept_edges[3]
weightIPL —part-of→ dorsal — 0.9
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concept_edges[3]
auditgain in accuracy —distinct-from→ repetition priming — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span argues the gain is unlikely to be repetition priming; distinct-from is loose.
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concept_edges[4]
notegain in accuracy —distinct-from→ repetition priming — CRITERION: the measure is a difference from a baseline present in both phases, so stimulus familiarity cancels
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concept_edges[4]
weightgain in accuracy —distinct-from→ repetition priming — 0.9
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concept_edges[4]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
outcome (stated by the tagger, no quotation)control — heldcontrols[1]
outcome (stated by the tagger, no quotation)control — heldcontrols[2]
replicationuntested
limitationA repetition/familiarity effect cannot be fully excluded as a partial cause of the behavioural and neural changes.
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limitations[0]
limitationThe study cannot say whether these rapid source-activity changes are precursors of longer-term plasticity; that needs combined MEG and fMRI work.
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limitations[1]
limitationthe dissociation is a bias in recruitment rather than an all-or-none separation of the two streams
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limitations[2]
limitationthe untrained comparison group comes from a previous study rather than being run alongside these two
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limitations[3]
limitationthe frequency group's gain for the trained one-semitone cue did not improve across training blocks, unlike the location group's
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limitations[4]
limitationrepetition priming remains a possible partial contributor, which the paper argues against rather than excludes
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limitations[5]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingGroups trained on a spectral versus a spatial cue showed a double dissociation in brain activity, ventral areas for the spectral group and dorsal areas for the spatial group, despite identical stimuli.
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content_tags.findings[0]
findingThe frequency-trained group gained more from a pitch difference alone than from a location difference alone.
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content_tags.findings[1]
findingThe group difference in cortical source activity appeared within roughly 100 ms of sound onset, which the authors read as a pre-stimulus attentional bias toward the trained feature.
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content_tags.findings[2]
findingBecause both groups had identical stimulus-response demands, the difference cannot easily be explained as procedural learning.
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content_tags.findings[3]
findingAfter training, the sum of the gains from each cue alone was considerably larger than the gain from both cues together.
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content_tags.findings[4]
findingThe two groups improved equally with practice overall, so the feature-specific effect is not an artefact of one group simply learning more.
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content_tags.findings[5]
findingThe authors call this the first demonstration of a feature-specific gain in human brain activity after brief training.
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content_tags.findings[6]
findingboth groups improved with practice during the training session
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content_tags.findings[7]
findingthe frequency-trained group gained more from a pitch difference and the location-trained group more from a spatial difference
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content_tags.findings[8]
findingthe group by trial-type interaction was large and each group beat the other on its own trained cue
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content_tags.findings[9]
findingno group difference remained when both cues were available at once
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content_tags.findings[10]
findingthe frequency-trained group recruited inferior frontal and temporal areas more strongly
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content_tags.findings[11]
findingthe location-trained group recruited parietal and posterior temporal areas more strongly
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content_tags.findings[12]
findingthe two networks differed although both groups heard exactly the same stimuli
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content_tags.findings[13]
findingright inferior frontal activity at 80-120 ms correlated with individual gain from the pitch cue
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content_tags.findings[14]
findingin both trained groups the gain from the trained cue was almost as large as the gain from both cues together
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content_tags.findings[15]
findingCONTROL NULL: no group by block interaction, so both groups improved equally overall and the specificity is not one group learning more
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content_tags.findings[16]
findingCONTROL: the same-pitch same-location condition appeared in both phases and showed little repetition priming
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content_tags.findings[17]
findingASYMMETRY: across training blocks the location group improved its use of the trained cue while the frequency group did not
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content_tags.findings[18]
findingSCOPE STATED: the group difference is a bias in recruitment rather than an all-or-none separation
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content_tags.findings[19]
quantityR 2 = 0.58 — variance shared between right inferior frontal gyrus source activity at 80-120 ms and the behavioural gain from the pitch cue
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content_tags.quantities[0]
quantityR 2 = 0.63 — variance shared between right inferior parietal lobule source activity at 80-120 ms and the behavioural gain from the location cue
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content_tags.quantities[1]
quantityabout 40% accuracy (chance 25%) — baseline double-vowel identification accuracy of both groups in the first training block
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content_tags.quantities[2]
quantityt 22 = 4.17, P < 0.001 / t 22 = 6.18, P < 0.001 — between-group tests confirming each group benefited more than the other from its own trained cue
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content_tags.quantities[3]
quantityF 2,44 = 33.32, P < 0.001 — group-by-trial-type interaction, the statistical core of the feature-specific behavioural effect
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content_tags.quantities[4]
quantity45-min — length of the single training session that produced the effects
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content_tags.quantities[5]
quantityall t 11 > 2.20, P < 0.05 — improvement of the Location group's use of the 90-degree separation cue from block 1 to blocks 2-4
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content_tags.quantities[6]
quantity45 min — duration of the training session that produced the effect
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content_tags.quantities[7]
quantity40% against 25% chance — baseline accuracy before training, equal in both groups
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content_tags.quantities[8]
quantityF 2,44 = 33.32 — the group by trial-type interaction carrying the behavioural dissociation
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content_tags.quantities[9]
quantityR squared = 0.58 — correlation between right inferior frontal activity and individual pitch-cue gain
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content_tags.quantities[10]
quantity24 — participants, split into two groups of twelve
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content_tags.quantities[11]
quantity95% or better — single-vowel accuracy every participant reached before training began
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content_tags.quantities[12]
quantity1088 μL — minimum cluster size for a reported activation, with family-wise correction
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content_tags.quantities[13]
variabletraining group (independent)
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content_tags.variables[0]
variabletrial type (independent)
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content_tags.variables[1]
variablesource activity (dependent)
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content_tags.variables[3]
variablebottom-up sensory input (control)
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content_tags.variables[4]
variableHRTF coefficient (control)
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content_tags.variables[5]
variablegain in accuracy
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content_tags.variables[6]
variablesemitone
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content_tags.variables[7]
variableMEG
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content_tags.variables[8]
definitionprocedural learning
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content_tags.definitions[0]
definitiontrial type
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content_tags.definitions[1]
definitionsynthetic aperture magnetometry (SAM)
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content_tags.definitions[2]
definitionprocedural learning
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content_tags.definitions[3]
definitionHRTF
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content_tags.definitions[4]
definitiondouble dissociation
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[5]
key-termsprocedural learning, perceptual sensitivity, double dissociation, ventral, dorsal, IFG, IPL, concurrent-vowel, HRTF, MEG, repetition priming, gain in accuracy
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 F as written: Repeated-measures analysis of variance (ANOVA) followed by 1-way ANOVA
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[0]
post hoc test as written: Bonferroni post hoc tests
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[1]
ANOVA F as written: voxel-wise, mixed-effect 2-factor ANOVA
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[2]
Monte Carlo simulation (multiple-comparison correction) as written: AlphaSim with 4096 (2 12 ) Monte Carlo simulations
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[3]
correlation R 2 as written: Pearson correlation
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]
standard error of the mean
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]
evidence status notestandard error of the mean — This quote ends with the stray word 'In', the first word of the next sentence. It is not trimmed, because the quote without it occurs more than once in the paper's text and could not be tied to one place. The claim is carried by the sentence before 'In'.content_tags.statistics[5]
repeated-measures ANOVA
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]
paired t -tests
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[7]
Pearson correlation
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[8]
family-wise corrected
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[9]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
method45 minutes of training on either fundamental-frequency or spatial separation, then MEG during an identical concurrent-vowel task for both groups — 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
phenomenonrapid feature-specific perceptual learning within a single session — a second reading DIFFERING from the recorded value; recorded: rapid feature-specific auditory perceptual learning
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.phenomenon

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.

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