Machine learning classifiers and fMRI: a tutorial overview
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How Predictable are "Spontaneous Decisions" and "Hidden Intentions"? Comparing Classification Results Based on Previous Responses with Multivariate Pattern Analysis of fMRI BOLD SignalsSex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autismCharacterizing the associative content of brain structures involved in habitual and goal-directed actions in humans: a multivariate FMRI studyFast bootstrapping and permutation testing for assessing reproducibility and interpretability of multivariate fMRI decoding modelsClinical applications of the functional connectomeThe future of fMRI in cognitive neuroscienceDetecting stable distributed patterns of brain activation using Gini contrastNeural systems predicting long-term outcome in dyslexiaA Sensitive and Specific Neural Signature for Picture-Induced Negative AffectToward Psychoinformatics: Computer Science Meets PsychologyEpisodic memory in aspects of large-scale brain networksComputational advances towards linking BOLD and behaviorMachine learning approaches: from theory to application in schizophreniaMultivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trendsTowards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject levelMultivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspectiveSelective Audiovisual Semantic Integration Enabled by Feature-Selective AttentionCreating Concepts from Converging Features in Human Cortex.Parametric Coding of the Size and Clutter of Natural Scenes in the Human Brain.Classification of autistic individuals and controls using cross-task characterization of fMRI activityData mining EEG signals in depression for their diagnostic valueLinear Discriminant Analysis Achieves High Classification Accuracy for the BOLD fMRI Response to Naturalistic Movie StimuliAttracting dynamics of frontal cortex ensembles during memory-guided decision-makingDecoding semantics across fMRI sessions with different stimulus modalities: a practical MVPA study.A Hitchhiker's Guide to Functional Magnetic Resonance ImagingReal-Time fMRI in Neuroscience Research and Its Use in Studying the Aging BrainMultivariate pattern analysis of fMRI: the early beginningsA review of feature reduction techniques in neuroimagingAuditory neuroimaging with fMRI and PET.The neural decoding toolboxPenalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotypingUsing Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experimentsMultivariate models of inter-subject anatomical variabilityGenerating text from functional brain imagesPyMVPA: A Unifying Approach to the Analysis of Neuroscientific DataSupport vector machine classification of arterial volume-weighted arterial spin tagging imagesGenerative embedding for model-based classification of fMRI data.Modality-independent representations of small quantities based on brain activation patterns.What Has Replication Ever Done for Us? Insights from Neuroimaging of Speech Perception.Neural Evidence for the Flexible Control of Mental Representations
P2860
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P2860
Machine learning classifiers and fMRI: a tutorial overview
description
2009 nî lūn-bûn
@nan
2009 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մարտին 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
Machine learning classifiers and fMRI: a tutorial overview
@ast
Machine learning classifiers and fMRI: a tutorial overview
@en
Machine learning classifiers and fMRI: a tutorial overview
@nl
type
label
Machine learning classifiers and fMRI: a tutorial overview
@ast
Machine learning classifiers and fMRI: a tutorial overview
@en
Machine learning classifiers and fMRI: a tutorial overview
@nl
prefLabel
Machine learning classifiers and fMRI: a tutorial overview
@ast
Machine learning classifiers and fMRI: a tutorial overview
@en
Machine learning classifiers and fMRI: a tutorial overview
@nl
P2860
P3181
P1433
P1476
Machine learning classifiers and fMRI: a tutorial overview
@en
P2093
Francisco Pereira
Matthew Botvinick
P2860
P304
P3181
P356
10.1016/J.NEUROIMAGE.2008.11.007
P407
P433
P577
2009-03-01T00:00:00Z