'Fmri data' diaporamas de présentation

Statistical Analysis

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Multivariate Approaches to Analyze fMRI Data Yuanxin Hu

Multivariate Approaches to Analyze fMRI Data Yuanxin Hu. Outlines Summary of principles of three approaches a) Principle Component Analysis (PCA) b) Canonical Correlation Analysis (CCA) c) Independent Component Analysis (ICA)

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Preprocessing of FMRI Data

Preprocessing of FMRI Data. fMRI Graduate Course October 23, 2002. What is preprocessing?. Correcting for non-task-related variability in experimental data Usually done without consideration of experimental design; thus, pre -analysis

729 views • 42 slides

Statistical Analysis I. Basic Hypothesis-Driven Analyses

Statistical Analysis I. Basic Hypothesis-Driven Analyses. fMRI Graduate Course November 13, 2002. When do we not need statistical analysis?. Inter-ocular Trauma Test (Lockhead, personal communication). Why use statistical analyses?. Replaces simple subtractive methods

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Processing, Analyzing, and Displaying Functional MRI Data

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Modeling and Neuroscience (or ACT-R and fMRI)

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NIH fMRI Summer Course fMRI and BIG DATA

NIH fMRI Summer Course fMRI and BIG DATA. Daniel Handwerker August 4, 2014. What is big data?. An fMRI scan generates 1-10 gigabytes of reconstructed data in 2 hours. A genome sequencer can generate 1 terabyte of data per week (Intramural NIAID has 7)

808 views • 36 slides

Machine Learning on fMRI Data

Machine Learning on fMRI Data. Rebecca Hutchinson January 28, 2008. Marcel Just. Svetlana Shinkareva. Francisco Pereira. Vincente Malave. Neurosemantics Research Team. Postdoctoral Fellows. Professional Staff. Tom Mitchell. Vladimir Cherkassky. Rob Mason. PhD Students. Kai Min Chang.

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M. Scott Marshall, Kasper van den Berg, Kamel Boulebiar, Piter de Boer, Marco Roos, Tristan

An modular approach to fMRI metadata in a Virtual Laboratory - generic tools for specific problems. M. Scott Marshall, Kasper van den Berg, Kamel Boulebiar, Piter de Boer, Marco Roos, Tristan Glatard, Silvia Olabarriaga Virtual Laboratory for e-science (VL-e) University of Amsterdam.

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A F N I & FMRI Introduction, Concepts, Principles

A F N I & FMRI Introduction, Concepts, Principles. http://afni.nimh.nih.gov/afni. A F N I = A nalysis of F unctional N euro I mages. Developed to provide an environment for FMRI data analyses And a platform for development of new software

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Introduction to classifiers for multivariate decoding of fMRI data

Introduction to classifiers for multivariate decoding of fMRI data. Evelyn Eger. MMN 15/12/08. Two directions of inference. 1) Forward modelling:. Psychological variable. (p-value). Data. 2) Decoding:. (prediction accuracy). Psychological variable. Data. Two directions of inference.

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Clustering of fMRI data for activation detection using HDR models

Clustering of fMRI data for activation detection using HDR models. Ashish Rao, Thomas Talavage. Motivation. Perform fMRI data analysis at cluster level. Retain physiological connection; not get lost in statistics. Accept isolated voxel activation conservatively.

360 views • 22 slides

Hidden Process Models

Hidden Process Models. Rebecca Hutchinson Tom M. Mitchell Indrayana Rustandi June 28, 2006 ICML Carnegie Mellon University Computer Science Department. Introduction. Hidden Process Models (HPMs): A new probabilistic model for time series data.

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MNTP Summer Workshop DTI module

Jordan Hamm (BA, BSc) University of Georgia, Athens, Georgia Alexandra Reichenbach (MSc, Dipl-Ing) Max Planck Institute for Biological Cybernetics, Tuebingen, Germany. MNTP Summer Workshop DTI module. Outline of Program. Technical considerations

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Multi-Group Functional MRI Analysis Using Statistical Activation Priors

Multi-Group Functional MRI Analysis Using Statistical Activation Priors. Deepti Bathula, Larry Staib, Hemant Tagare, Xenios Papademetris, Bob Schultz, Jim Duncan Image Processing & Analysis Group Yale University MICCAI 2009 fMRI Workshop. TexPoint fonts used in EMF.

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Biomedical Informatics Research Network

Michael Marron, Ph.D., Director Division of Biomedical Technology National Center for Research Resources National Institutes of Health Department of Health and Human Services. Biomedical Informatics Research Network. BIRN Biomedical Informatics Research Network.

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Analysis of FMRI Data: Principles and Practice

Analysis of FMRI Data: Principles and Practice. Robert W Cox , PhD Scientific and Statistical Computing Core National Institute of Mental Health Bethesda, MD http://afni.nimh.nih.gov. Principles: Modeling. Data analysis always takes place in the context of a mathematical model

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Matlab Toolbox for Inter-Subject Correlation Analysis

Matlab Toolbox for Inter-Subject Correlation Analysis. O verview. ISC toolbox: Background. fMRI studies utilizing natural stimuli such as movies, music, and video games are getting more and more popular (see, for example [1])

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Saur et al. (2008) PNAS Ventral and dorsal pathways for language (14 authors!)

241 views • 8 slides