Data and analyses for project using real-time measurements of RT to link sustained attention & recognition memory
Jupyter Notebook Python
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data_expt1
data_expt2
figures
Expt1.ipynb
Expt2.ipynb
README.md
paper_behavior.py
paper_plotting.py
paper_statistics.py
requirements.txt

README.md

deBettencourt_realtimeBehav

Using real-time indices of behavior to link sustained attention & recognition memory

Please contact Megan (debetten at uchicago dot edu) with any questions, comments or suggestions!


All analyses for this project are included in these python notebooks:

Expt1.ipynb : python notebook that replicates all analyses for Experiment 1

Expt2.ipynb : python notebook that replicates all analyses for Experiment 2


Click the badge to launch the python notebooks:

Binder


Some details on the file organization:

  • data_expt1/ contains all data files for Experiment 1.
  • data_expt2/ contains all data files for Experiment 2.

Within each data folder, each subject has a subfolder with their #

Within each subject folder, there are 3 files

  • blockdata_1_* all of the data from the sustained attention phase of the experiment
  • memdata_1_* all of the data from the memory phase of the experiment