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aeon_mecha

Project Aeon's main library for interfacing with acquired data. Contains modules for raw data file io, data querying, data processing, data qc, database ingestion, and building computational data pipelines.

bluepyopt

Blue Brain Python Optimisation Library

datajoint-docs

DataJoint Documentation

datajoint-python

Relational data pipelines for the science lab

datajoint-tutorials

Getting started materials for DataJoint - with Calcium Imaging, Electrophysiology, Machine Learning examples

db-programming-with-datajoint

A series of notebooks accompanying video tutorials

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

element-array-ephys

DataJoint Element for Neuropixels analysis with Kilosort

element-calcium-imaging

DataJoint Element for multi-photon calcium imaging analysis with CaImAn, Suite2p, and EXTRACT

element-deeplabcut

DataJoint Element for behavioral analysis with DeepLabCut

element-electrode-localization

DataJoint Element for localizing Neuropixels electrodes

element-facemap

DataJoint Element for behavioral analysis with Facemap

element-miniscope

DataJoint Element for miniscope calcium imaging analysis with CaImAn

element-moseq

DataJoint Element for Motion Sequencing with Keypoint-MoSeq

keypoint-moseq

microns_phase3_nda

nda schema for MICrONS phase3

milagrosmarin

moseq2-app

MoSeq2 Jupyter Notebook platform used to run all of the MoSeq2 tools in a GUI.

multimodal-optimization-for-fitting-cerebellar-grcs

Source code, results and analysis of the resulting population of neurons from the article 'On the use of a multimodal optimizer for fitting neuron models. Application to the cerebellar granule cell. (2021) Front. in Neuroinf.

workflow-deeplabcut

Example DataJoint workflow for behavioral analysis with DeepLabCut