Generative embedding for model-based classification of fMRI data.
about
Computational neuropsychiatry - schizophrenia as a cognitive brain network disorderMultivoxel pattern analysis for FMRI data: a reviewComputational Psychiatry: towards a mathematically informed understanding of mental illnessConnectomics and new approaches for analyzing human brain functional connectivityThe right hemisphere supports but does not replace left hemisphere auditory function in patients with persisting aphasia.A review on the computational methods for emotional state estimation from the human EEGChanges in auditory feedback connections determine the severity of speech processing deficits after stroke.The utility of data-driven feature selection: re: Chu et al. 2012.Single trial decoding of belief decision making from EEG and fMRI data using independent components features.Contributions and complexities from the use of in vivo animal models to improve understanding of human neuroimaging signals.A Computational Account of Borderline Personality Disorder: Impaired Predictive Learning about Self and Others Through Bodily Simulation.Sparse representation of brain aging: extracting covariance patterns from structural MRI.Decoding the perception of pain from fMRI using multivariate pattern analysis.Decoding lifespan changes of the human brain using resting-state functional connectivity MRI.Personalized Medication Response Prediction for Attention-Deficit Hyperactivity Disorder: Learning in the Model Space vs. Learning in the Data Space.Bayesian model reduction and empirical Bayes for group (DCM) studiesFunctional Mechanisms of Recovery after Chronic Stroke: Modeling with the Virtual BrainEmbodied neurology: an integrative framework for neurological disorders.Interhemispheric Dorsolateral Prefrontal Cortex Connectivity is Associated with Individual Differences in Pain Sensitivity in Healthy Controls.Dissecting psychiatric spectrum disorders by generative embedding.Reinforcement learning and dopamine in schizophrenia: dimensions of symptoms or specific features of a disease group?The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades.Classification framework for partially observed dynamical systems.Building better biomarkers: brain models in translational neuroimaging.Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice?Network dysfunction of emotional and cognitive processes in those at genetic risk of bipolar disorder.The computational anatomy of psychosis.An electrophysiological validation of stochastic DCM for fMRI.Classical Statistics and Statistical Learning in Imaging Neuroscience.Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function.Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition.The brain's functional network architecture reveals human motives.NEUROSCIENCE. Wiring the altruistic brain.Test-retest reliability of effective connectivity in the face perception network.A comparison of various MRI feature types for characterizing whole brain anatomical differences using linear pattern recognition methodsExtracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity
P2860
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P2860
Generative embedding for model-based classification of fMRI data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Generative embedding for model-based classification of fMRI data.
@ast
Generative embedding for model-based classification of fMRI data.
@en
type
label
Generative embedding for model-based classification of fMRI data.
@ast
Generative embedding for model-based classification of fMRI data.
@en
prefLabel
Generative embedding for model-based classification of fMRI data.
@ast
Generative embedding for model-based classification of fMRI data.
@en
P2093
P2860
P50
P3181
P1476
Generative embedding for model-based classification of fMRI data.
@en
P2093
Cheng Soon Ong
Ekaterina I Lomakina
Joachim M Buhmann
Thomas M Schofield
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1002079
P407
P577
2011-06-23T00:00:00Z