**The eye is the window to the brain: as researchers, we can tell a lot from where, and how, people look around. Recently, there has been an uptick in interest in what the pupil's fluctuations can tell us about the state of people's brains. But how can you make sure that you're doing the right experiment to answer your research question?**
# Eyetracking Course
This repo contains the materials for a two-day eye-tracking course at the graduate level. For data files, it uses `git-lfs`, so this needs to be installed.
We are at present developing the experiments and materials for the course. The first iteration of this course will be held on October 19-20 2017 at the Vrije Universiteit Amsterdam. The course is open to anyone, official [EPOS](https://www.eposgradnet.nl) credits can be received after succesful completion.
# Experiments
Some ready-made experiments will be available based on our own experiment backend. They are stored in the [notebooks](notebooks/README.md) folder. This will allow you to quickly acquire some data that is stored in a standard format. You are free to use our experimental examples as a basis for your own.
# Conversion and preprocessing
We'll be using an [SR Research Eyelink 1000 eyetracker](http://www.sr-research.com/), which stores its data in the proprietary .edf format. We have created a package that takes these edf files and converts them into hdf5 files - a more open format. This package, [hedfpy](https://github.com/tknapen/hedfpy), requires some specific triggers so that data can be analyzed easily. Furthermore, it performs specific types of preprocessing which are especially suited for subsequent pupil dilation analyses.
# Analysis
[Hedfpy](https://github.com/tknapen/hedfpy) allows easy access to raw and preprocessed eye tracking data. The analysis of gaze traces, for example, is then made a lot easier, meaning that we can show you how to analyze these data in the Jupyter Notebooks in the [notebooks](notebooks/README.md) folder.
# Syllabus
For more information on the first edition of this short course, please consult the [syllabus](syllabus/syllabus.md) (under construction).
# Install procedure
It may be necessary to perform these steps once the jupyterhub server goes down.
```
#!/usr/bin/env bash
pip install hedfpy==0.0.dev3 fir mne lmfit
conda install seaborn pytables
# conda install -c conda-forge nbgrader
# jupyter nbextension enable nbgrader --py --sys-prefix
mkdir Downloads
cd Downloads
wget https://github.com/git-lfs/git-lfs/releases/download/v2.3.3/git-lfs-linux-amd64-2.3.3.tar.gz
tar xvzf git-lfs-linux-amd64-2.3.3.tar.gz
cd git-lfs-2.3.3/
mkdir ~/bin
cp git-lfs ~/bin
export PATH=$HOME/bin:$PATH
git install git-lfs
git clone https://github.com/tknapen/eyetracking_course.git
cd eyetracking_course
git lfs fetch --all
```
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研究生眼动追踪课程.zip
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研究生眼动追踪课程.zip (118个子文件)
毕业季.bmp 2.79MB
exp_config.cfg 372B
exp_config.cfg 371B
exp_config.cfg 371B
exp_config.cfg 371B
exp_config.cfg 371B
exp_config.cfg 371B
eye_dict.csv 24.26MB
sac_dict.csv 23KB
blink_dict.csv 1KB
tk_1_2017-10-06_16.11.37.gaz 5.7MB
homer.gif 312KB
.gitattributes 125B
.gitignore 1KB
tk_1_2017-10-06_16.11.37.gaz.gz 1.53MB
GD.ipynb 4.52MB
ST.ipynb 2.21MB
deconvolution_FIR_detailed.ipynb 1.13MB
PR.ipynb 598KB
pupil_preprocess_python.ipynb 399KB
deconvolution.ipynb 170KB
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default_settings.json 509B
default_settings.json 270B
default_settings.json 258B
default_settings.json 190B
default_settings.json 90B
default_settings.json 73B
template.latex 7KB
LICENSE 1KB
syllabus.md 6KB
README.md 3KB
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README.md 326B
README.md 326B
README.md 326B
README.md 300B
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README.md 293B
Optokinetic.mp4 29.6MB
homer.mp4 440KB
tk_1_2017-10-06_16.11.37.msg 77KB
1.pdf 38.58MB
2.pdf 8.51MB
preprocess_GD_1_0_L.pdf 49KB
preprocess_GD_1_0_L.pdf 49KB
preprocess_PR_1_0_L.pdf 43KB
preprocess_ST_1_0_L.pdf 42KB
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