PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
about
Perception of words and pitch patterns in song and speechCharacterizing the associative content of brain structures involved in habitual and goal-directed actions in humans: a multivariate FMRI studyPredicting risky choices from brain activity patternsSeeing touch is correlated with content-specific activity in primary somatosensory cortexA common, high-dimensional model of the representational space in human ventral temporal cortexMultivoxel pattern analysis for FMRI data: a reviewA Model of Representational Spaces in Human Cortex.How machine learning is shaping cognitive neuroimaging.A Hitchhiker's Guide to Functional Magnetic Resonance ImagingMultivariate pattern analysis of fMRI: the early beginningsA framework for streamlining research workflow in neuroscience and psychologyThe neural decoding toolboxPenalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotypingPyMVPA: A Unifying Approach to the Analysis of Neuroscientific DataRepresentations of Invariant Musical Categories Are Decodable by Pattern Analysis of Locally Distributed BOLD Responses in Superior Temporal and Intraparietal SulciParcellation of Human and Monkey Core Auditory Cortex with fMRI Pattern Classification and Objective Detection of Tonotopic Gradient ReversalsInformation-Driven Active Audio-Visual Source Localization.Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in pythonDecoding multiple sound categories in the human temporal cortex using high resolution fMRI.Decoding the neuroanatomical basis of reading ability: a multivoxel morphometric studySight and sound converge to form modality-invariant representations in temporoparietal cortex.Seven topics in functional magnetic resonance imaging.Within- and cross-participant classifiers reveal different neural coding of information.Multivariate pattern analysis reveals common neural patterns across individuals during touch observationPrimary sensory cortices contain distinguishable spatial patterns of activity for each senseInterpersonal liking modulates motor-related neural regions.Measuring neural representations with fMRI: practices and pitfalls.Accurately decoding visual information from fMRI data obtained in a realistic virtual environmentLearning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortexNeuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.Functional Heterogeneity and Convergence in the Right Temporoparietal JunctionCoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU OctaveDecoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data.Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithmsStatistical learning analysis in neuroscience: aiming for transparencyUnconscious neural processing differs with method used to render stimuli invisibleDecoding developmental differences and individual variability in response inhibition through predictive analyses across individuals.Discriminable spatial patterns of activation for faces and bodies in the fusiform gyrus.Predicting decisions in human social interactions using real-time fMRI and pattern classification.Implicit memory for object locations depends on reactivation of encoding-related brain regions
P2860
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P2860
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@ast
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@en
type
label
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@ast
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@en
prefLabel
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@ast
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@en
P2860
P50
P1433
P1476
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.
@en
P2093
James V Haxby
Stephen José Hanson
P2860
P2888
P356
10.1007/S12021-008-9041-Y
P577
2009-01-28T00:00:00Z
P5875
P6179
1002126531