'Fwhm' diaporamas de présentation

The statistical analysis of fMRI data

The statistical analysis of fMRI data. Keith Worsley 12 , Chuanhong Liao 1 , John Aston 123 , Jean-Baptiste Poline 4 , Gary Duncan 5 , Vali Petre 2 , Frank Morales 6 , Alan Evans 2 , Tom Nichols 7 , Satoru Hayasaki 8 , Jonathan Taylor 9

782 views • 62 slides

The statistical analysis of fMRI data

The statistical analysis of fMRI data. Keith Worsley 12 , Chuanhong Liao 1 , John Aston 123 , Jean-Baptiste Poline 4 , Gary Duncan 5 , Vali Petre 2 , Frank Morales 6 , Alan Evans 2 , Tom Nichols 7 , Satoru Hayasaki 7 1 Department of Mathematics and Statistics, McGill University,

589 views • 58 slides

Potential Advantages of Digitally Sampling Scintillation Pulses in Timing Determination in PET

523 views • 40 slides

Basics of fMRI Inference

Basics of fMRI Inference. Douglas N. Greve. Overview. Inference False Positives and False Negatives Problem of Multiple Comparisons Bonferroni Correction Cluster Correction (voxel-wise threshold) False Discovery Rate Selection Bias. Group Population (All members) Hundreds?

373 views • 37 slides

Basics of fMRI Inference

Basics of fMRI Inference. Douglas N. Greve. fMRI Analysis Over-review. Subject 1. Preprocessing MC, STC, B0 Smoothing Normalization. Preprocessing MC, STC, B0 Smoothing Normalization. Preprocessing MC, STC, B0 Smoothing Normalization. Preprocessing MC, STC, B0 Smoothing

387 views • 37 slides

A novel gamma-ray detector with sub-millimeter resolutions using a monolithic MPPC array

A novel gamma-ray detector with sub-millimeter resolutions using a monolithic MPPC array with pixelized Ce:LYSO and Ce:GGAG scintillators. Takuya Kato J.Kataoka, T.Nakamori, T.Miura, H.Matsuda A.Kishimoto ( Waseda Univ .)

510 views • 28 slides

Jonathan Taylor, Stanford Keith Worsley, McGill

Hierarchical statistical analysis of fMRI data across runs/sessions/subjects/studies using BRAINSTAT/FMRISTAT. Jonathan Taylor, Stanford Keith Worsley, McGill. What is BRAINSTAT / FMRISTAT ?. FMRISTAT is a Matlab fMRI stats analysis package BRAINSTAT is a Python version Main components:

396 views • 28 slides

224 views • 12 slides

TERAS analysis update

TERAS analysis update. Compton Spectrum estimation Energy resolution Summary. Why so broad?. In terms of energy resolution at the Compton edge (approx. 40MeV monochro.), we obtain an energy resolution of 11.8% in FWHM. FWHM=11.8%.

193 views • 11 slides

Non-stationary FWHM and its effect on statistical inference of fMRI data

Non-stationary FWHM and its effect on statistical inference of fMRI data K.J. Worsley Department of Mathematics and Statistics, McGill University and McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University. Summary

157 views • 1 slides