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Achievement: YOLOAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Arctic Code Vault Contributor
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LegrandNico/README.md

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).

📚 You can find the up-to-date list of my publications on my Google Scholar profile
📫 nicolas.legrand@cas.au.dk
🟦 https://bsky.app/profile/nicolaslegrand.bsky.social
🐘 https://mastodon.social/@nicolegrand

Pinned

  1. ilabcode/pyhgf ilabcode/pyhgf Public

    PyHGF: A neural network library for predictive coding

    Python 38 7

  2. systole systole Public

    Forked from embodied-computation-group/systole

    Systole: A python package for cardiac signal synchrony and analysis

    Python 1

  3. metadpy metadpy Public

    Forked from embodied-computation-group/metadpy

    Metacognitive efficiency modelling in Python.

    Python

  4. embodied-computation-group/CardioceptionPaper embodied-computation-group/CardioceptionPaper Public

    Data and code for the cardioception method paper

    HTML 9 4

  5. cardioception cardioception Public

    Cardioception Toolbox - Measuring cardiac interoceptive performance with Psychopy

    Jupyter Notebook