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AHOP Speech perception & production (BONTE (Syllable processing…
AHOP
Speech perception & production
BONTE
Syllable
processing
manipulation
meaning
world-like
processing
N400m
Semantic processing
N100m
acoustic processing
Bottom-up
Acoustic-phonetic cues
Top-down
Linguistic context
task to ensure attention
MEG study
HICKOK
Dual stream model
VENTRAL
(meaning)
WHAT
3. Lexical interface
sensory speech
to lexical representation
Phonology - semantic
pMTG, pITS (left bias)
4. Combinatorial
network
aMTG, aITS (left bias)
comprehension/
recognition
DORSAL
(motor stream)
HOW, WHERE
3. sensorimotor interface
spt (planum
temporale, left-domi)
boundary parietal & temporal
sensory speech codes to
motor representation
4. articulatory network
pIFG, PM, anterior insula (left-domi)
1. Spectotemporal analysis
dorsal STG (bi)
2. phonological network
mid-post STS (bi)
sensory codes
Conceptual network
SASAKI
N200
(Nogo potential)
110-150ms ASO
Electrical stimulation
N200
Caudal part of dorsal bank
of principal sulcus
Rostroventral PFC
Most effective
110-150ms
Delaying or
cancelling movement
colour discrimination
go/nogo task
SCHMITT
LRP
(preparation)
hand = phonology
nogo = semantic (earlier)
nogo = semantics
Available before
no nogo-LRP
hand = semantics;
nogo = phonology (later)
go & no-go LRP
developed
Divergence
after phonology info
nogo-LRP to baseline
N200
(inhibition)
#
more negative nogo
earlier N200 nogo=semantics
Binary
(dual-choice)
decision task
serial / cascade
model
semantic
(90ms) before
phonology
#
#
INDEFREY
Conceptual
lemma retrieval
& selection (semantic, meaning)
phonological code
lexical - phoneme
syllabification
phonetic encoding
articulation
CHRISTOFFELS
Forward model hypothesis
Monitoring mechanism
Efference copy
Speaking induced suppression (SIS)
fMRI
Auditory Cortex (AC)
Picture naming task
(speaking)
Passive listening
(baseline, external)
Parametrically varied noise
(altering feedback quality, match)
Results
SIS
Match = decreased AC-activity
Mis-match
same as listening
NIZIOLEK
MEG-I
Variability
efference copy?
Listen & speak condition
Central & peripheral vowel
SIS = listen - speak
M100
Results
SIS for speaking
(left hemisphere only)
Higher SIS for centre
(no variability taken into account)
Centering of peripheral
(formant closer to median)
Efference copy =
motor goal, not command
PENA
cross-linguistic
spanish
Italian
Japanese
Native versus nonnative
semantics
task to ensure attention
Oscillations
hypothesis
Attention
Alpha decrease
(suppression)
Later alpha increase
(not for demanding)
2. Phoneme tracking
low gamma
increase
not found
3. syllable tracking
theta
increase
native, non-native
forward, backward
4. semantic
middle gamma
increase
Only native, forward
beta (not found)
EEG study
HICKOK
State feedback control model
(efference copy, internal forward)
Linguistic models
(semantics before phonology)
integrated SFC model