From 3b21810a938cb67a7e577f7aa9b0a0afb4d90875 Mon Sep 17 00:00:00 2001 From: Ekaterina Kondrateva <34157226+kondratevakate@users.noreply.github.com> Date: Mon, 21 Sep 2020 13:30:54 +0300 Subject: [PATCH] Update README.md --- README.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 3efda65..cac1912 100644 --- a/README.md +++ b/README.md @@ -9,11 +9,14 @@ This course is specifically aimed at MSc and PhD students with basic knowledge o ### The list of the current seminars published (will be updated with time): + * SEMINAR 0 (04.09) BASH for Engeneering pipelines, CometML * Before seminar you are to install Docker https://www.docker.com/ + * SEMINAR 1 (07.09, 11.09) EEG analysis, Machine Learning in EEG + * SEMINAR 2 (14.09) MRI data analysis, sources, databases, tools - * Before seminar, please, do the following: + Before seminar, please, do the following: 1) Install Docker https://docs.docker.com/get-docker/ 2) Download `data` folder from link https://drive.google.com/drive/folders/1P0ZhS1EoDY6fncnJb7foNFPjY5uoN6r0 3) Clone repository to your local machine @@ -21,11 +24,10 @@ This course is specifically aimed at MSc and PhD students with basic knowledge o 5) In terminal: `cd NEUROML/seminar2` 6) Type command `docker build -t neuroml/seminar2:0.0.1` and wait for successfull build 7) Run `docker run --rm -it -v /directory/to/downloaded/data:/workspace/data -p 8080:8080 neuroml/seminar2:0.0.1` - * `/directory/to/downloaded/data` from 2) + `/directory/to/downloaded/data` from 2) 8) Open browser (preferebly Chrome) -> localhost:8080 - * Before the seminar you are to install FreeSurfer https://surfer.nmr.mgh.harvard.edu/ * SEMINAR 3 (18.09) Machine Learning for structural MRI data analysis - * Before the seminar you are to get an account and granted access here https://db.humanconnectome.org/data/projects/HCP_1200 + Before the seminar you are to get an account and granted access here https://db.humanconnectome.org/data/projects/HCP_1200 * SEMINAR 4 (21.09) fMRI data preprocessing, analysis, GLM 1) First follow the instruction for geting the docker image: https://miykael.github.io/nipype_tutorial/notebooks/introduction_docker.html. 2) Clone the `seminar4` repository