zaidaemtzmo Goto Github PK

3dprintyourbrain

How to 3D print your brain from a T1 MRI image.

binder_demo

We are testing binder

caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

can2019-model-parameters

can_tvb_workshop

course-2019

Website for the 2019 NeuroData Science Course.

covid19mtl

COVID-19 epidemiological dashboard for Montreal

csv-import-and-analysis

deepeeg

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

fmri_trim

fMRI_TrimmingVolumes

how2fmri

A fMRI tutorial, from raw data to BIDS and a task-related analysis.

jack-of-all-trades

A combination of standalone scripts with multiple purposes

lfads_demo

Pytorch implementation of LFADS for demo at CAN workshop

matdrab2matfab

MATLAB and data science course, taking you from MATDRAB to MATFAB in 8 weeks! General course covering the basics of MATLAB, Signal processing, Statistics, and Machine Learning

meg-reader

This script allows you to present an auditory stimuli to a MEG machine.

micm_workshop_pr_practice

Repository used in workshop to practice Pull Requests

mnc2nii

Conversion fMRI files: MNC.GZ to NII to proceed with the analysis of fMRI data.

mne-python

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

neurodatasci-course-2019

onedrive

Free Client for OneDrive on Linux

pcc

Resources for Python Crash Course, from No Starch Press.

present-fmristimuli

rminc

Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more.

scikit-learn

scikit-learn: machine learning in Python

shell-novice

Software Carpentry introduction to the shell for novices.

stimuli-creation

Creates an auditory stimuli that can be presented both for fMRI and MEG.

timefreqworkshop

Presentation and code for time frequency workshop

trial