Stephanie Kirk | Reality Bending Lab

Stephanie Kirk

Thu, 19 Dec 2024 00:00:00 +0000

Stephanie graduated from the University of British Columbia with a Bachelors in Psychology in 2019, and from the National University of Singapore with a Masters in Museum Studies and Curatorial Practices in 2021. Her primary research interests are in neuroaesthetics and the environment, as well as topics related to post-traumatic stress disorder, including post-traumatic growth.

Too beautiful to be fake: Attractive faces are less likely to be judged as artificially generated

Thu, 19 Dec 2024 00:00:00 +0000

Audio Summary

Listen to a podcast summary of the paper!

The Heart can Lie: A Preliminary Investigation of the Role of Interoception and Theory of Mind in Deception

Wed, 13 Nov 2024 00:00:00 +0000

Audio Summary

Listen to a podcast summary of the paper!

A Novel Visual Illusion Paradigm Provides Evidence for a General Factor of Illusion Sensitivity and Personality Correlates

Sat, 22 Apr 2023 00:00:00 +0000

Audio Summary

Listen to a podcast summary of the paper!

About signal complexity

Mon, 05 Dec 2022 00:00:00 +0000

The signals recorded from the brain or the body are rich in information, and there are many ways to analyze them. For instance, for EEG, one can focus on Event Related Potentials (ERP), time-frequency analyses, microstates, etc.

An alternative framework, used to characterize the general characteristics of the signal, relies on the extraction of indices of “complexity” (a general term for constructs such as entropy, chaos, fractal dimension, predictability). However, that field is quite complex (no pun intended), drawing heavily onto mathematical concepts that psychologists or neuroscientists might not be familiar with.

In order to better understand the world of complexity indices as applied to neurophysiology, we have done some groundwork to help us make better decisions in our future usage of this type of analysis.

A gentle introduction to complexity indices applied to neuroscience.
A indices selection guide in which we compare how different indices relate to one another.

Additionally, we also provide an easy way to compute them in Python in our NeuroKit package (see here for the list of functions and here for an EEG application).