# DISTRIBUTION ANALYSIS AND FITTING

# COMPARING DISTRIBUTIONS

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# The analyses were conducted using RSTUDIO

# Comparing ocular reaction times, when presented with few targets (two) or with many targets (six).

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# At the top are two examples of possible distributions that could be found. Its easy to see where they differ by looking at the red circle: the first graph has overlapping distributions at the bottom part while the second presents equally spaced distributions. The third graphs, under Results, shows what was actually found in our data: we found that the ocular distributions in the two conditions were equally spaced at the bottom, therefore confirming the parallel distribution scenario.

# These analyses were written up into a scientific article and published in an International Journal: Experimental Brain Research

# Puntiroli, Tandonnet, Kerzel & Born (2017)

# COMPARING PSYCHOMETRIC FUNCTIONS

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# The analyses were conducted using MATLAB

# Examining an example of performance at 70% for three participants. Participants had to use their attention to determine whether a stimulus flashed incredibly briefly (20 milliseconds) had was oblique to the right or the right (stimulus DT presented in the magnifying glass; its oblique to the right). A larger angle, meaning the DT stimulus would be more oblique, made it easier to see. We see that the blue function shows a participant that needed a smaller angle to have a good performance at 70%, while the green function shows a participant who needed a much larger angle (i.e. much easier to see) in order to have the same good performance at 70% correct.

# These analyses were written up into a scientific article that was pre-printed on Biorxiv.org, and will be subsequently in 2019.