amrka Goto Github PK

2018_materials

Materials for Neurohackademy 2018 lectures, tutorials, etc.

amrka-stimulation_ca3

Analysis of stimulation experiments in the CA3 region

amrka-stimulation_perforant_pathway

Analysis scripts for perforant stimulation experiments

ants

Advanced Normalization Tools (ANTs)

antspy

Advanced Normalization Tools in Python

autotyping

Automated phenotyping of mouse behavior

banana

Biomedical ANAlysis iN Arcana (Banana): biomedical analysis workflows implemented in the Arcana framework

behaviopy

Behavioral data analysis and plotting in Python.

behavior_of_epm

bids_tools

scripts to organize 9.4T data and videos into BIDS format

brainbrowser

Web-based visualization tools for neurological data.

bru2nii

Bruker ParaVision to NIfTI conversion

citaautocomplete

Auto-complete the сita receiving form on site https://sede.administracionespublicas.gob.es/ for fingerprinting.

dataset-examples

Samples for users of the Yelp Academic Dataset

deeplabcut

Markerless tracking of user-defined features with deep learning

diffusion_analysis_all_scripts

These are the scripts I used to analyze d-MRI data acquired in oct_2017

diffusion_mri_analysis

diffusiondata_multishell

Processing scripts for the multishell diffusion data

dipy

Diffusion MR Imaging in Python

docker4deeplabcut

Dockercontainer to run DeepLabCut http://www.mousemotorlab.org/deeplabcut/

epm-tracker

Simple tracking software for the Elevated Plus Maze

exploredti_scripts

This repository holds several explanations of ExploreDTI scripts

fmriflows

fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.

fslutils

Some useful utilities for FSL

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

heudiconv

A flexible DICOM converter for organizing brain imaging data into structured directory layouts/ modifications for bruker

john-repo

another git tutorial repo

kevin_rs-fmri

Analysis of the resting-state data before and after photo stimulation

life_rs_preprocessing