https://github.com/berenslab/hh_sbi • Science 36%

https://github.com/berenslab/aims2025-neurosiminf • Science 13%

Course repository for Simulation and Inference for Neuroscience

https://github.com/berenslab/learning-disease-state • Science 10%

Learning Disease State from Noisy Ordinal Disease Progression Labels

https://github.com/berenslab/retimgtools • Science 13%

Web-based tools for retinal image annotation and evaluation.

https://github.com/berenslab/contrastive-ne • Science 13%

Contrastive neighbor embeddings

https://github.com/berenslab/elephant-in-the-room • Science 26%

Companion repository to our Lause, Berens & Kobak (2024) paper "The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense" (PLOS Computational Biology)

https://github.com/berenslab/pubmed-tsne-iclr • Science 10%

Two-dimensional visualization of large document libraries using t-SNE

https://github.com/berenslab/rfest • Science 26%

A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.

https://github.com/berenslab/medical-t-simcne • Science 23%

This repository contains the codes to train a t-SimCNE model. This model has been shown to produce good representations on natural and medical images.

https://github.com/berenslab/dlgn_movie_spline_model • Science 13%

dLGN movie spline LNP model

https://github.com/berenslab/diffusiontempering • Science 23%

https://github.com/berenslab/retinal-classification • Science 13%

non-rl experiments for the retinal-rl project

https://github.com/berenslab/umi-normalization • Science 23%

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

https://github.com/berenslab/sbi-kigali-2023-student • Science 13%

https://github.com/berenslab/rgc_dendrites • Science 13%

Code for Type-specific dendritic integration in mouse retinal ganglion cells

https://github.com/berenslab/morphvae • Science 13%

MorphVAE: Generating Neural Morphologies from 3D-Walks

https://github.com/berenslab/genderbagnets • Science 23%

Interpretable gender classification from retinal fundus images using BagNets

https://github.com/berenslab/morphology-benchmark • Science 23%

https://github.com/berenslab/fslm_repo • Science 10%

reproduce results of fslm paper

https://github.com/berenslab/cone_colour_tuning • Science 23%