mackelab's repositories
neural_timeseries_diffusion
This repository contains research code for the preprint "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".
mnle-for-ddms
Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
phase-limit-cycle-RNNs
Code for "Trained recurrent neural networks develop phase-locked limit cycles in a working memory task" - Matthijs Pals (@matthijspals) , Jakob Macke and Omri Barak.
amortized-decision-making
Repository for the paper "Amortized Bayesian Decision Making for simulation-based models" - Mila @milagorecki and Michael @michaeldeistler
sbi-for-connectomics
Research code and results for the paper "Simulation-based inference for computational connectomics" (Boelts et al. 2023 PLoS CB, @janfb)
tsnpe_neurips
Code to reproduce results from `Truncated proposals for scalable and hassle-free simulation-based inference`
grassmann_binary_distribution
Implementation of binary distribution in the Grassmann formalism, including conditional version. Main contributor: Cornelius Schröder (@coschroeder)
sequence-memory
Code for Liebe et al. "Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks", code by Matthijs Pals (@matthijspals)
gp-maps-python
Gaussian process method for inferring cortical maps (Python version), code by Dominik Straub @dominikstrb
neonatal_apnea_prediction
Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series.
.github
Repo for mackelab github landing page, maintained by @michaeldeistler
labproject
Labproject about comparing distributions metrics by @mackelab
mackelab-toolbox
This repository contains Python code shared across the lab. Original maintainer: @alcrene
preprocessing-ice-data
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
results
Results and code for reproducibility
simformer
Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
synapsegan
SynapseGAN: Indistinguishable network dynamics can emerge from unalike plasticity rules
tsnpe_neurips_dev
Development repo for Deistler et al. 2022