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NeuroData Design's Projects

autoreject icon autoreject

Automated rejection and repair of bad trials/sensors in M/EEG

brainlit icon brainlit

This repository is a container of methods that Neurodata uses to expose their open-source code while it is in the process of being merged with larger scientific libraries such as scipy, scikit-image, or scikit-learn. Additionally, methods for computational neuroscience on brains too specific for a general scientific library can be found here, such as image registration software tuned specifically for large brain volumes.

df-cnn icon df-cnn

Code for the IJCAI 2019 paper "Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks" by Seungwon Lee, James Stokes, Eric Eaton

df-dn-paper icon df-dn-paper

Performance comparisons between random forests and deep networks

graspy icon graspy

Python package for graph statistics

lemur icon lemur

Multi-Modal Neuroimaging Visualizations made easy!

lids icon lids

Longitudinal In-vivo Detection of Synapses

m2g_analysis icon m2g_analysis

Code for M2G analysis models, data and batch processing

mne-python icon mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

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