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Contents


   




Matlab and Cogent
This will cover:
Basic Programming skills required to write and debug simple functions and scripts

Simple variables and structures

Particular elements needed to analyse data from functional magnetic resonance imaging (fMRI)

SPM data structures and programme architecture

Using Cogent for standard psychological experiments

Analysing Cogent data

SPM
This will cover:
Overview of the statistical theory underlying SPM

Introduction to spatial pre-processing of fMRI data

Practical introduction to experimental design

Practical analysis of fMRI data

EEG/MEG source localisation

Functional integration and Dynamic Causal Modelling for fMRI and ERP

 
 

MATLAB for Cognitive Neuroscience 2006-07


   

Session 1 & 2 - Presented by Ash Ranpura

Basic programming skills, debugging and matlab user interface

Variable types, matrices, cell arrays and structures

Demonstration files:

View demo1.m | ar_doubleplus.m | notation.m | quote.m

Download (demo1.m ) (ar_doubleplus.m ) (notation.m ) (quote.m ) - Right click on the icons.


Session 3 & 4 - Presented by Christian Ruff

Data analysis and visualisation

Using Cogent for standard psychological & fMRI experiments: data input, experimental control, timing, and data output; synchronise with fMRI

Demonstration files for Session 3:

View Data Analysis (Powerpoint) | data_analysis.m

Download (analysis.m ) - Right click on the icon.

Demonstration files for Session 4:

View Cogent (Powerpoint) | test_exp.m

Download test_experiment.zip (including test_exp.m and associated data files)


Session 5 & 6 - Presented by Bahador Bahrami & Lauri Jalkanen

Visual stimulus generation

Graphics using Cogent: images; sprites; animation

Demonstration files for Sessions 5 & 6:

View Visual stimulus generation (Powerpoint) | example1.m | example2.m | example3.m | example 4.m | example5.m | testflip.m | clock_sprites.m | lineMotion.m | wordList.txt

Download Visual stimulus generation (Powerpoint) | (example1.m ) (example2.m ) (example3.m ) (example 4.m ) (example5.m ) (testflip.m ) (clock_sprites.m ) (lineMotion.m ) (wordList.txt) - Right click on the icons.


Session 7 - Presented by Elliot Freeman

Psychophysical methods: contrast, gamma, visual angle, curve fitting

Demonstration files:

View gabor_tutorial.m | gaborFn.m | gabor_cogentDemo_gabor.m | gabor_cogentDemo2_speedDiscriminationGabor.m | gabor_cogentDemo_plaid.m | generateGaborMovie.m | generatePlaidMovie.m

Download (gabor_tutorial.m ) (gaborFn.m ) (gabor_cogentDemo_gabor.m ) (gabor_cogentDemo2_speedDiscriminationGabor.m ) (gabor_cogentDemo_plaid.m) (generateGaborMovie.m ) (generatePlaidMovie.m ) - Right click on the icons.


Session 8 - Presented by Elliot Freeman

Psychophysical methods 2: contrast, gamma, visual angle, data processing

Demonstration files:

View calibDisplay.m | cgGammaDemo_directColour.m | cgScaleDemo.m | makeAnaglphDemo.m | psychophysicsTricks.m | visang.m

Download (calibDisplay.m ) (cgGammaDemo_directColour.m ) (cgScaleDemo.m ) (makeAnaglphDemo.m ) (psychophysicsTricks.m ) (visang.m ) - Right click on the icons.


Session 9 - Presented by Christian Kaul

Multivariate Pattern Recognition for 'decoding' brain states in fMRI

Demonstration files:

View extract_timecourse_from_voxelsMOTION_presentation.m | filsubjectnumbersMOTION.m | lin_discrim_multiple_subjectsMOTION_presentation.m | make_stats_lin_discrimMOTION.m

Download (extract_timecourse_from_voxelsMOTION_presentation.m ) (filsubjectnumbersMOTION.m ) (lin_discrim_multiple_subjectsMOTION_presentation.m ) (make_stats_lin_discrimMOTION.m ) - Right click on the icons.


Session 10 - Presented by Christian Ruff

Graphing in Matlab

Demonstration files:

View graphs (Powerpoint) | graphs.m

Download (graphs.ppt) (graphs.m ) - Right click on the icons


Session 11 - Presented by Steffan Kennett

Control of external devices with Matlab/Cogent

Demonstration files:

View ExternalDevices_Cogent (Powerpoint) | Eyetracker_demo.m | jumping_cross.m | Stimuluscheck.m | voiceRT.m

Download (ExternalDevices_Cogent.ppt) (Eyetracker_demo.m ) (jumping_cross.m ) (Stimuluscheck.m ) (voiceRT.m ) - Right click on the icons


Session 12 - Presented by Tobias Overath

Introduction to create, play, and edit sounds in Matlab

Demonstration files:

View Sound in Matlab (Powerpoint) | a_sound.m | a_sound_wind.m | am_fm_sine.m | am_noise.m | am_sine.m | fixed_noise.m | fm_sine.m | harmoic.m | playsound_Cognet.m | playsound_Matlab.m | sound_amplitude.m | sound_ampmod.m | sound_create.m | sound_noise.m | sound_scale.m | sound_sequence.m | sound_square.m | sound_sweep.m | sound_wind.m | wind.m

Download (Sound in Matlab.ppt) (a_sound.m ) (a_sound_wind.m ) (am_fm_sine.m ) (am_noise.m ) (am_sine.m ) (fixed_noise.m ) (fm_sine.m ) (harmoic.m ) (playsound_Cogent.m ) (playsound_Matlab.m ) (sound_amplitude.m ) (sound_ampmod.m ) (sound_create.m ) (sound_noise.m ) (sound_scale.m ) (sound_sequence.m ) (sound_square.m ) (sound_sweep.m ) (sound_wind.m ) (wind.m ) - Right click on the icons


Session 13 - Presented by Emrah Duzel

Analyses of EEG/MEG signals with wavelets

Demonstration files:

View Matlab course wavelets (Powerpoint)

Download (Matlab course wavelets.ppt) (wavelet_tutorial.m ) - Right click on the icons


Session 14 - Presented by Christian Kaul

An introduction to batching in SPM5, covering pre-processing and model specification/estimation

Demonstration files:

View firstLevel_exp.m | secondLevel_exp.m | prePro_exp.m | prePro_exp_normalize.m

Download (firstLevel_exp.m ) (secondLevel_exp.m ) (prePro_exp.m ) (prePro_exp_normalize.m ) - Right click on the icons



This page last modified 19 October, 2007 by ICN WEB Team

 

 


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