plot_with_seed

Internal function to handle plotting with consistent seed management
for the glassbox pipeline interactive previews.

internal

Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the Stanford Wu Tsai Human Performance Alliance, Stanford Ric Weiland Graduate Fellowship, Stanford Center for Mind, Brain, Computation and Technology, NIH National Institute on Aging Grants (R01-AG065255, R01-AG079345), NSF GRFP (DGE-2146755), McKnight Brain Research Foundation Clinical Translational Research Scholarship in Cognitive Aging and Age-Related Memory Loss, American Brain Foundation, and the American Academy of Neurology.

Shawn Schwartz

eyeris

Flexible, Extensible, & Reproducible Pupillometry Preprocessing

plot_with_seed function

<dl><dt>file</dt>
<dd>The <code>eyeris</code> object to plot</dd>
<dt>step_counter</dt>
<dd>Current step counter</dd>
<dt>seed</dt>
<dd>A random seed for reproducible plotting</dd>
<dt>preview_n</dt>
<dd>Number of preview epochs</dd>
<dt>preview_duration</dt>
<dd>Duration of each preview in seconds</dd>
<dt>preview_window</dt>
<dd>Preview window specification</dd>
<dt>only_linear_trend</dt>
<dd>A flag to indicate whether to show only linear
trend</dd>
<dt>next_step</dt>
<dd>Next step information</dd>
<dt>block_name</dt>
<dd>Block name (optional, for multi-block processing)</dd>
<dt>verbose</dt>
<dd>A flag to indicate whether to show verbose output</dd></dl>

Arguments

Plot with seed handling for glassbox pipeline — plot_with_seed

<dl>

<dt>file</dt>
<dd>The <code>eyeris</code> object to plot</dd>


<dt>step_counter</dt>
<dd>Current step counter</dd>


<dt>seed</dt>
<dd>A random seed for reproducible plotting</dd>


<dt>preview_n</dt>
<dd>Number of preview epochs</dd>


<dt>preview_duration</dt>
<dd>Duration of each preview in seconds</dd>


<dt>preview_window</dt>
<dd>Preview window specification</dd>


<dt>only_linear_trend</dt>
<dd>A flag to indicate whether to show only linear
trend</dd>


<dt>next_step</dt>
<dd>Next step information</dd>


<dt>block_name</dt>
<dd>Block name (optional, for multi-block processing)</dd>


<dt>verbose</dt>
<dd>A flag to indicate whether to show verbose output</dd>

</dl>

plot_with_seed: Plot with seed handling for glassbox pipeline

Description

Usage

Arguments