Skip to content
View AndeolF's full-sized avatar

Block or report AndeolF

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AndeolF/README.md

Andéol Fournier

M2 student in Computational Neuroscience & Neuroengineering at Université Paris-Saclay and engineering student at CentraleSupélec.

I am interested in applying mathematical and computational methods to understand neural systems and brain dynamics.

Selected Projects

MEG/EEG Artifact Correction with Generative Models

Generative modeling pipeline for artifact correction in MEG data, based on latent diffusion models.

→ View repository

Data-driven Modeling of Neural Population Dynamics

Deep-learning Koopman autoencoder for modeling nonlinear and non-stationary neural population dynamics from simulated fMRI data.

→ View repository

Sleep EEG Classification

Machine learning approaches for sleep-stage classification from EEG recordings.

→ View repository

Biomedical Video Analysis with Multiple Instance Learning

Deep learning pipeline using Multiple Instance Learning for ATP prediction from biomedical videos of organoids.

→ View repository

Other Projects

Additional coursework and personal projects in machine learning, reinforcement learning, NLP and biomedical data analysis.

Pinned Loading

  1. EEG_sleep_classification EEG_sleep_classification Public

    Machine learning approaches for sleep-stage classification from EEG recordings

    Jupyter Notebook 1

  2. Koopman_fMRI_Master_projet Koopman_fMRI_Master_projet Public

    Modeling non-linear and non-stationary brain dynamics from simulated fMRI (BOLD) data using Deep Learning and Koopman Operator Theory

    1

  3. organoid-atp-prediction-deep-learning organoid-atp-prediction-deep-learning Public

    Spatio-temporal deep learning pipeline using Multiple Instance Learning for ATP prediction from biomedical videos of organoids.

    Jupyter Notebook 1

  4. pipeline_remove_artefact_w_diffusion_model pipeline_remove_artefact_w_diffusion_model Public

    Generative modeling pipeline for artifact correction in MEG data, based on latent diffusion models

    Python 1