about
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHDThe 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.Method for simultaneous fMRI/EEG data collection during a focused attention suggestion for differential thermal sensationTowards a Neuronal Gauge Theory.Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modellingInsights into multimodal imaging classification of ADHD.Computer-Aided Diagnosis and Localization of Lateralized Temporal Lobe Epilepsy Using Interictal FDG-PET.Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis.Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating.Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of EpilepsyDecoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms.Cognitive computational neuroscience
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description
investigador
@es
researcher
@en
name
Pamela K Douglas
@en
type
label
Pamela K Douglas
@en
prefLabel
Pamela K Douglas
@en
P31
P496
0000-0002-3506-6857