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- Code accompanying Inferring stochastic low-rank RNNs from neural data. @Matthijspals
neuralgbi_diffusion
Publicsourcerer-sequential
Publicsequence-memory
PublicCode 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)epiphyte
PublicPython toolkit for working with high-dimensional neural data recorded during naturalistic, continuous stimuli @a-darcher @rachrapp.github
PublicRepo for mackelab github landing page, maintained by @michaeldeistlerjaxley_experiments
Publicsbi-ves
Public- Repository for the paper "Simultaneous identification of models and parameters of scientific simulators" -- Cornelius: @coschroeder
LDNS
Publicgp-maps-python
PublicGaussian process method for inferring cortical maps (Python version), code by Dominik Straub @dominikstrbsimformer
Publicsbi-ice
Publiclabproject
Publicpreprocessing-ice-data
Publicphase-limit-cycle-RNNs
PublicCode for "Trained recurrent neural networks develop phase-locked limit cycles in a working memory task" - Matthijs Pals (@Matthijspals) , Jakob Macke and Omri Barak.- Repository for the paper "Amortized Bayesian Decision Making for simulation-based models" - Mila @milagorecki and Michael @michaeldeistler
- Implementation of binary distribution in the Grassmann formalism, including conditional version. Main contributor: Cornelius Schröder (@coschroeder)
tsnpe_neurips_dev
Publictsnpe_neurips
Publicsbi_AIMS
Publictoy_data
Publicmnle-for-ddms
Publicsbi-for-connectomics
PublicResearch code and results for the paper "Simulation-based inference for computational connectomics" (Boelts et al. 2023 PLoS CB, @janfb)synapsegan
Public