Deep-Neurographs is a Python module that utilizes machine learning to detect and correct false splits in a predicted neuron segmentation.

Tools for accessing, processing and presenting data from Dynamic Routing experiments.

Code for "Functional connectomics spanning multiple areas of mouse visual cortex" by MICrONs Consortium et al.

Repository for tools developed for axonal connectomics

Coupled autoencoder extension for MET analysis.

Repository for storing prototype functionality implementations for the BKP

An open-use web application created for easy access, collaboration, and sharing of datasets through rich metadata search, filter, sort, and direct viewing in common industry applications or in our web-based 3D Volume Viewer.

OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁🧠🔬🖥️📈

Single cell RNA-seq analysis for transcriptomic type characterization