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+# README
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+
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+## Installation
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+Tested on Windows 10 (1909); Anaconda version 4.8.1
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+Install Miniconda from: https://docs.conda.io/en/latest/miniconda.html
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+Time <5min
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+
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+In a fresh conda environment, install the dependecies using:
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+```powershell
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+conda create -n test
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+conda activate test
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+conda install python=3.8.5 ##3.8+ is a hard requirment; pickling protocol is not backwards compatible
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+pip install git+https://github.com/jselvan/simianpy.git@0.1.4
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+```
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+Time <1 min
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+
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+simianpy will install all necessary dependencies at the most recent version. Tested versions for the major dependencies used here are: pandas=1.1.0 matplotlib=3.1.1 numpy=1.19.1 tables=3.6.1
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+
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+## The code
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+Navigate to https://gin.g-node.org/everling_lab_marmosets/marmoset_face_processing
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+Download Data.h5, get_fixations_and_saccades.py and plots.py to the same directory
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+Activate the environment and execute the scripts
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+```powershell
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+conda activate test
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+python get_fixations_and_saccades.py
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+python plots.py
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+```
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+
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+### get_fixations_and_saccades.py
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+Here, fixations and saccades are detected block by block using DetectFixations and DetectSaccades from simianpy. The criteria used are outlined in the manuscript.
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+Linear convolution of an 11 sample Hamming window is used to smooth the eye data before fixation detection.
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+Extracted fixation and saccade metrics are stored back into Data.h5
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+
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+### plots.py
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+The data extracted in the above step is plotted using matplotlib into 2 png files, that are saved in the same directory
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