Quantifying the adequacy of neural representations for a cross-language phonetic discrimination task: prediction of individual differences.
about
Learning, neural plasticity and sensitive periods: implications for language acquisition, music training and transfer across the lifespanDecoding semantics across fMRI sessions with different stimulus modalities: a practical MVPA study.Effects of socioeconomic status on brain development, and how cognitive neuroscience may contribute to levelling the playing fieldMultivariate sensitivity to voice during auditory categorization.What does the right hemisphere know about phoneme categories?Emergence of category-level sensitivities in non-native speech sound learning.Individual differences in cue weights are stable across time: the case of Japanese stop lengthsEffects of category learning on neural sensitivity to non-native phonetic categoriesCan native Japanese listeners learn to differentiate/r-l/on the basis of F3 onset frequency?Discrimination of brief speech sounds is impaired in rats with auditory cortex lesions.Two tongues, one brain: imaging bilingual speech productionLocalization of sublexical speech perception components.fMRI-Guided transcranial magnetic stimulation reveals that the superior temporal sulcus is a cortical locus of the McGurk effectWithin- and cross-participant classifiers reveal different neural coding of information.Primary sensory cortices contain distinguishable spatial patterns of activity for each senseDecoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.Revealing representational content with pattern-information fMRI--an introductory guide.Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populationsEncoding and decoding in fMRIThe fusiform face area is engaged in holistic, not parts-based, representation of faces.Linking brain-wide multivoxel activation patterns to behaviour: Examples from language and math.Dedifferentiation of emotion regulation strategies in the aging brain.Representational geometry: integrating cognition, computation, and the brain.Neural representation of emotion regulation goals.Activation Patterns throughout the Word Processing Network of L1-dominant Bilinguals Reflect Language Similarity and Language Decisions.Noise correlations in the human brain and their impact on pattern classificationConsciousness and the invention of Morel.ENCODING AND DECODING V1 FMRI RESPONSES TO NATURAL IMAGES WITH SPARSE NONPARAMETRIC MODELS.Strength of retinotopic representation of visual memories is modulated by strategy.Deciphering phonemes from syllables in blood oxygenation level-dependent signals in human superior temporal gyrus.First and Second Language Speech Perception: Graded LearningThe brain of the beholder: honouring individual representational idiosyncrasiesComprehending auditory speech: previous and potential contributions of functional MRI
P2860
Q21129317-C5B3FB55-AC88-4A81-9939-490638046DC2Q27500399-12A974CA-AD2C-441E-825C-0161EB10FD32Q28748941-FAA03301-C615-4110-B2D6-4DD3ABFC2BFDQ30375347-9A2F1B0C-BBD3-4489-841C-564589369E31Q30409003-007C22FA-C992-4666-B45B-8E7BE74C149FQ30432600-85F0183A-5AE7-4339-AFB1-19520F53787FQ30446574-E199F5F5-40F2-435A-BDF9-BBD75214275BQ30456227-CA7D2AD9-77F4-4FDD-B2D8-69702CEA5BA5Q30459290-FA903AB3-92BD-4CB4-9A02-56372B4AD3EAQ30467533-9FD05797-FAF2-4DF0-8237-AE5C79E0DA4FQ30474607-031BDA19-A8FF-412E-810B-3A84288ED9BEQ30474913-4716520C-9038-4714-AD77-77CE731F3053Q30479959-CF530594-AB62-496D-8440-BC69CDAC91F2Q30495619-0E25FA7F-C0A5-4FA3-8075-EF8378EB84BCQ30541376-D96B0BDD-2B69-4CE8-A961-7013742C49E6Q30846483-59260F6B-DFCA-4BC6-A7BD-FC540DEFF858Q33400699-38EA5429-5881-432D-92D7-EE51C95DD305Q33515289-A6F51E13-25CF-47C1-877B-75B5BA7EE7E6Q33651934-60193D83-833A-4539-8230-3FA70911D181Q34336194-1C3166EA-5D25-4D61-B867-D469181F07E1Q34414824-77E4B8C6-91AA-4963-B422-FC14ED316CCBQ35662556-5B49C07E-C043-448C-8FCB-97DF242A9A61Q38123286-6F9121E9-C537-4B61-BE44-21A1AB349AC0Q38400741-AD56CD5D-3BD6-4A68-826E-9E2B26C376E9Q38407035-78A20C25-BE74-4E49-A356-3F1315921DA4Q38608141-A6CD8817-20D6-4294-B453-F66680F597CEQ41627080-F69541FF-5E60-45B4-AE93-4E03AE8D45E5Q41773612-4DE7E55C-43B3-4BB7-9AE9-2E6EEFD27E6CQ48346318-B0AA293A-316C-4FC1-B917-8870BBAED7D8Q49018183-18A97359-17EF-4EDC-8766-43381031C50EQ57531739-3C884B49-1171-4327-A006-0704D2A15A3DQ57719283-E48CEED3-6979-4432-9122-14FD718EB1D5Q59292693-49113F22-7A40-46E6-8DC4-8D6914BBE56C
P2860
Quantifying the adequacy of neural representations for a cross-language phonetic discrimination task: prediction of individual differences.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Quantifying the adequacy of ne ...... ion of individual differences.
@ast
Quantifying the adequacy of ne ...... ion of individual differences.
@en
type
label
Quantifying the adequacy of ne ...... ion of individual differences.
@ast
Quantifying the adequacy of ne ...... ion of individual differences.
@en
prefLabel
Quantifying the adequacy of ne ...... ion of individual differences.
@ast
Quantifying the adequacy of ne ...... ion of individual differences.
@en
P2860
P356
P1433
P1476
Quantifying the adequacy of ne ...... tion of individual differences
@en
P2093
Huei-Mei Liu
Patricia K Kuhl
P2860
P356
10.1093/CERCOR/BHP076
P577
2010-01-01T00:00:00Z