INDEPENDENT COMPONENT ANALYSIS APPLIED TO FMRI DATA: A NATURAL MODEL AND ORDER SELECTION V. Calhoun1,2, T. Adali2, G. Pearlson1 1 Johns Hopkins University Div. of Psychiatric Neuro-Imaging, 600 N. Wolfe St., Baltimore, M

Source URL: mialab.mrn.org

• Magnetic resonance imaging
• Multivariate statistics
• Neuroimaging
• Signal processing
• Cognitive neuroscience
• Functional magnetic resonance imaging
• Independent component analysis
• Principal component analysis
• Event-related functional magnetic resonance imaging
• K-means clustering
• Functional integration
• Resting state fMRI

Independent component analysis via nonparametric maximum likelihood estimation

Source URL: www.statslab.cam.ac.uk

Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman

Source URL: select.cs.cmu.edu

• Statistics
• Analysis
• Data
• Statistical models
• Multivariate statistics
• Signal processing
• Data analysis
• Independent component analysis
• Time series analysis
• Additive white Gaussian noise
• Gaussian function
• Positive-definite kernel

Regularized estimation of image statistics by Score Matching Diederik P. Kingma Department of Information and Computing Sciences Universiteit Utrecht

Source URL: dpkingma.com

• Machine learning
• Statistical models
• Signal processing
• Statistical theory
• Estimation theory
• Maximum likelihood estimation
• Artificial neural network
• Independent component analysis
• Pattern recognition
• Mixture model

A Method for Making Group Inferences Using Independent Component Analysis of Functional MRI Data: Exploring the Visual System V Calhoun , T Adali , G Pearlson , J Pekar Division of Psychiatry Neuro-Imaging, Johns Hopkins

Source URL: www.nrc-iol.org

Bibliography on Independent Component Analysis in Functional Neuroimaging Finn ˚ Arup Nielsen CIMBI at IMM Technical University of Denmark and NRU Rigshospitalet Lyngby and Copenhagen, Denmark

Source URL: hendrix.imm.dtu.dk

INDEPENDENT COMPONENT ANALYSIS APPLIED TO FMRI DATA: A NATURAL MODEL AND ORDER SELECTION V. Calhoun1,2, T. Adali2, G. Pearlson1 1 Johns Hopkins University Div. of Psychiatric Neuro-Imaging, 600 N. Wolfe St., Baltimore, M

Source URL: www.nrc-iol.org

fMRI Of Visual Perception: Networks Identified By SPM And Independent Component Analysis Vince CALHOUN1, James PEKAR2, Tulay ADALI3, Godfrey D. PEARLSON4, 1Johns Hopkins University, Baltimore, MD United States; 2Johns Ho

Source URL: www.nrc-iol.org

INDEPENDENT COMPONENT ANALYSIS APPLIED TO fMRI DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS V. Calhoun1,2, T. Adali,2 and G. Pearlson1 Johns Hopkins University Division of Psychiatric Neuro-Imaging, 600 N. Wolfe St.,

Source URL: www.nrc-iol.org

An fMRI Analysis of Driving-Related Networks with Independent Component Analysis Applied in a Between-Condition (BC-ICA) and Within-Condition (WC-ICA) Manner Vince CALHOUN1, James PEKAR2, Tulay ADALI3, Godfrey PEARLSON4,

Source URL: www.nrc-iol.org