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Sam Berens

EA

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Project-166



HoopStats
HoopStats

A library of MATLAB functions for analysing circularly distributed data using mixture model estimation via expectation maximisation.




Sam's Optseq
SamsOptseq

Used for optimising event-related fMRI experiments. This function generates multiple stimulus presentation sequences and calculates design efficiency statistics for each. [Requires SPM]




Create native EPI mask

CreateNativeEpiMask

Creates a binary mask of EPI data using a single input image (e.g. the mean of an EPI time-series). [Requires SPM]





Extract white matter drift
Extract white matter drift

Estimates drift in the MR signal across a series of functional scans. [Requires SPM]





Sam's EPI Session Screening Algorithm (Sessa)
Sessa

Produces statistics and plots that help identify problematic time-points in a time-series of functional images (e.g. excessive motion). [Requires SPM]





Cogent Example: fMRI experiment

CogentExample

A demonstration of how to present stimuli and record responses during fMRI with the Cogent toolbox. [Requires Cogent2000]





The dress of many colours

DressOfManyColours_Output

A colour analysis of the dress.





Sam's Report

DressOfManyColours_Output

Displays MATLAB objects (e.g. the outputs of a statistical model) in an HTML window.