Pinned Repositories
bayesian_stats_course
CogModelingRNNsTutorial
color_palette
Code to generate color palettes from images
connectome_spectral_analysis
Repository for paper https://authors.elsevier.com/sd/article/S1053-8119(21)00884-3
course-content
NMA Computational Neuroscience course
DeepLabCut
Markerless pose estimation of user-defined features with deep learning for all animals
diagnostics-Lemanics
disentangled_rnns
gsp_neuro
learning-habits-analysis
hugofluhr's Repositories
hugofluhr/learning-habits-analysis
hugofluhr/bayesian_stats_course
hugofluhr/CogModelingRNNsTutorial
hugofluhr/color_palette
Code to generate color palettes from images
hugofluhr/connectome_spectral_analysis
Repository for paper https://authors.elsevier.com/sd/article/S1053-8119(21)00884-3
hugofluhr/course-content
NMA Computational Neuroscience course
hugofluhr/DeepLabCut
Markerless pose estimation of user-defined features with deep learning for all animals
hugofluhr/diagnostics-Lemanics
hugofluhr/disentangled_rnns
hugofluhr/dotfiles
My global configuration files
hugofluhr/first-pull-request
git exercise for nipraxis course
hugofluhr/gsp_neuro
hugofluhr/piriform-cortex-diversity
Diversity of piriform cortex neuron
hugofluhr/IDB403_ToblerLab_YC
Repository for the study "Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study" (Gera et al.)
hugofluhr/NetworkMachineLearning_2023
hugofluhr/neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
hugofluhr/nigsp
NiGSP: a module for graph signal processing on neuroimaging data
hugofluhr/NML2023
my code for the Network Machine Learning courses
hugofluhr/ntds_2018
Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
hugofluhr/precourse
A repo for the pre-course work at home exercises
hugofluhr/pycsou
Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.
hugofluhr/pygsp
Graph Signal Processing in Python
hugofluhr/qkay
Manager for the quality assessment of large neuroimaging studies
hugofluhr/reversal_learning_task
Repo for the Scientific Programming course task
hugofluhr/RNN-cogsci2021
hugofluhr/RPtask_dataIO
hugofluhr/slurm_scripts
hugofluhr/Source_Reconstruction_DS001
python scripts to perform EEG source reconstruction of VEP in face perception task (DS001)
hugofluhr/SPC_analysis
FLIM data analysis in MATLAB, written for the SPC suite
hugofluhr/strategiclearning_and_lddm
Code for Masís et al, 2023