This repository contains descriptions of, and links to, all projects created by participants at Neurohackademy 2019. If you're adding a new project, please use the template below.
- Project template: Template to use when creating new projects
When adding a new project to the listing, please copy and paste the template below.
Project url(s): [link to GitHub repo or other resources]
Contributors: [list of people involved], NAME
Description of project: [a few sentences describing the project]
How to get involved: [optional explanation of how one can get involved in the project]
Project url(s): https://github.com/g14r/neurohackmap
Contributors: Antonija Kolobaric, Giacomo Ariani, Hannah Coyle, Johnny Lau, Daria Proklova
Description of project: Neurohackmap is a collection of scripts to visualize the change in NHA19 participants' world locations and research interests over time.
How to get involved: For any help in code optimization, and/or to add alternative data visualizations, pull requests are welcome. Please get in touch with one of the contributors if you would like to request full access to the dataset.
Project url(s): neurohack_dl_gan
Contributors: Meltem Atay, Bastian David, Jeffrey Durieux, Alberto Lazari, Steph Rossi, Anna Truzzi, Benjamin Wade, Suniyya A. Waraich
Description of project: We are working on classifying a person's age group from an MRI scan, using deep learning techniques. At the same time, we are training a GAN that takes in young brains and makes them look old. 🧠
How to get involved: Say hi! 👋 Leave a note.
Project url(s): Volume to HCP surface,
GIFTI API proposal
Contributors: Hao-Ting Wang (HCP, visualisation, GIFTI),
Gia H Ngo (HCP, visualisation),
Chris Markiewicz (GIFTI)
Description of project: We want to put our preprocessed volume space data on to the HCP surface template. The goal is to have the whole workflow in Python. Due to the lack of high-level surface-based tools, we are also looking into solutions to GIFTI/CIFTI file IO and visualisation. The future goal is to provide more user-friendly tools to work with surface data in Python!
How to get involved: You discuss the new GIFTI API under issues or help Gia withe the python workflow.
Project url(s): github repo
Contributors: Maya Rosen, Kendra Seaman, Aarti Nair, Megan McMahon, Leehyun Yoon
Description of project: Use neuropythy to visualize developmental changes in brain structure in participants from the HCP Lifespan Pilot Study.
Goals: 1) Access and download HCP Lifespan Pilot Data, 2) Run HCP preprocessing pipelines using a docker container on AWS, 3) Use neuropythy to retrieve and visualize age-related differences in structural properties like cortical thickness.
How to get involved: Suggestions for other types of structural analysis (gyrification, TI/T2 differences) and functional analysis (resting state, tasks) are welcome. We look forward to analyzing the HCP-D and HCP-A datasets in the near future!\
Project url(s): natstim_neurohack
Contributors: Jacob Fischer,
Mai Lin Nguyen, Marissa Clark,
Sam Nastase, Adina Wagner
Description of project: How accurate and variable are annotations provided by various tools
for automated feature extractions?
We try to use available interfaces in pliers for face and speech annotation
on the movie Forrest Gump, and aim to evaluate their results accuracy and variance.
How to get involved: Find us in the common area!
Project url(s): github repo
Contributors (in alphabetical order of last names): Katie Bottenhorn, Bharath Chandra Talluri, Julio A Yanes
Description of project: Use activation maps of four different tasks from various studies obtained through Brainmap, and Neurosynth and train a classifier to predict the task from an activation map.
How to get involved: We look forward to scaling this project to different tasks, and ideally towards more general applications.