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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
📫 [email protected]
🟦 https://bsky.app/profile/nicolaslegrand.bsky.social
🐘 https://mastodon.social/@nicolegrand

Nicolas Legrand's Projects

aesara icon aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

arviz icon arviz

Exploratory analysis of Bayesian models with Python

bayesfit icon bayesfit

Bayesian Psychometric Curve Fitting Tool

cardioception icon cardioception

Cardioception Toolbox - Measuring cardiac interoceptive performance with Psychopy

cca_zoo icon cca_zoo

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

cognitivemodeling icon cognitivemodeling

Course material for the Advanced Cognitive Modeling class (Master students, Aarhus University)

hmm-mar icon hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

hmm-mne icon hmm-mne

Hidden Markov Modelling of M/EEG data.

hrv icon hrv

A Python package for heart rate variability analysis

metadpy icon metadpy

Metacognitive efficiency modelling in Python.

pyhrv icon pyhrv

Python toolbox for Heart Rate Variability

pyvhr icon pyvhr

Python framework for Virtual Heart Rate

systole icon systole

Systole: A python package for cardiac signal synchrony and analysis

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