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Cardioception Toolbox - Measuring cardiac interoceptive performance with Psychopy

Home Page: https://legrandnico.github.io/cardioception/

License: GNU General Public License v3.0

Python 5.81% Jupyter Notebook 94.19%
bayesian-inference cognitive-modeling electrocardiography interoception metacognition photoplethysmography psychophysics

cardioception's Introduction

About me

I am currently working as a researcher in computational psychiatry at the Ilab where I develop nonparametric Bayesian models of delusions.

Previously, I was working as a postdoctoral fellow in the Embodied Computation Group at Aarhus University where I studied cardiac interoception using computational modelling, brain imaging and physiological signal analysis.

I am the creator and maintainer of the following Python libraries:

  • pyhgf - A JAX implementation of the generalized and nodalized Hierarchical Gaussian filter.
  • Systole - a package centred on processing and visualization of ECG, PPG and respiratory signals.
  • The Cardioception Toolbox - a psychophysics experiment to measure and analyze cardiac interoceptive beliefs (see also the method paper)
  • metadPy - a package to compute a variety of metacognitive efficiency parameters from trial-level confidence ratings (SDT, meta-d using MLE and Bayesian methods).

๐Ÿ“š You can find the up-to-date list of my publications on my Google Scholar profile
๐Ÿ“ซ [email protected]
๐ŸŸฆ https://bsky.app/profile/nicolaslegrand.bsky.social
๐Ÿ˜ https://mastodon.social/@nicolegrand

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