Neuronal recordings and Foundation models

custom built environment for data analysis

Relational data pipelines for the science lab

Schemata and libraries for neuroscientific data

repository for minnie mouse data

base environment for MICrONS repositories

Neuro Datasets for System Identification

Datajoint Utilities

PyTorch code and models for the DINOv2 self-supervised learning method.

Modeling like-to-like connectivity in microns data using balanced networks.

Feature extraction, dimensionality reduction, model benchmarking.

A DataJoint extension that integrates hashes and other features.

nda schema for MICrONS phase3

DataJoint schemas for neuroscience data

PyTorch Utilities

Visualize features cells are responsive to via gradient ascent.