Projects

Click the buttons below to filter the projects you may want to join.

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All Git level: 0 none Git level: 1 commit push Git level: 2 branches PRs Git level: 3 continuous integration Hub donostia esp Hub marseille fra Hub melbourne aus Hub montreal can Hub toronto can Hub vanderbilt usa behavioral DWI ECG ECOG EEG eye tracking fMRI fNIRS MEG MRI PET TDCS TMS C++ containerization documentation html css Java Julia Matlab Python R shell scripting Unix command line Skills: comfortable Skills: expert Skills: familiar coding methods data management documentation method development pipeline development tutorial recording visualisation AFNI ANTs BIDS Brainstorm CPAC Datalad DIPY FieldTrip fMRIPrep Freesurfer FSL Jupyter MNE MRtrix Nipype SPM connectome data visualisation deep learning diffusion hypothesis testing ICA machine learning MR methodologies neural decoding neural encoding neural networks PCA physiology reproducible scientific methods single neuron models statistical modelling systems neuroscience tractography

Bayes and Bach: An RNN-powered affair

We want to do a proof-of-concept: test whether artificial recurrent neural networks (RNN) learn to predict the next tone when …

 Project URL Git level: 0 none Hub donostia esp behavioral documentation Python Skills: expert documentation method development machine learning

behapy: A behavioural neuroscience analysis package for Python

Studies using optic fibres to record real-time fluorescent biosensors in-vivo are now commonplace, yet despite an increasing …

 Project URL Git level: 1 commit push Hub melbourne aus behavioral documentation Python data management documentation pipeline development visualisation BIDS data visualisation systems neuroscience

BIDS: IP-Freely

The Inheritance Principle (“IP”) has been a feature of the Brain Imaging Data Structure (BIDS) since its inception. It …

 Project URL Git level: 0 none Hub melbourne aus behavioral DWI ECG ECOG EEG eye tracking fMRI MEG MRI PET documentation Python Skills: expert Skills: familiar coding methods data management documentation BIDS reproducible scientific methods fNIRS TDCS TMS

EEL-Hack: Learning to develop an mTRF pipeline with eelbrain

The Multivariate Temporal Response Function (mTRF) method is an advanced technique used to model the relationship between various …

Git level: 0 none Hub donostia esp EEG documentation Python documentation pipeline development BIDS MNE neural encoding

ME-mppca: Building a tensor-based thermal denoising method

  • We are building a FOS library to do thermal noise reduction suited for Multi-echo acquisitions
  • This will be a Python …

Git level: 1 commit push Git level: 2 branches PRs Hub donostia esp fMRI MRI documentation Python coding methods documentation method development Nipype MR methodologies PCA diffusion

MRI based brain thermometry

The brain is hot and its thermoregulation underlies different boundary conditions than the body’s thermoregulation. Heat in …

 Project URL Git level: 0 none Hub melbourne aus DWI MRI documentation Python coding methods data management documentation method development pipeline development Brainstorm deep learning MR methodologies statistical modelling diffusion

MRI denoising using MP-PCA

Denoising of EPI MRI data has become a common component of MRI pre-processing pipelines. It is most prevalent in the …

 Project URL Git level: 1 commit push Hub melbourne aus DWI fMRI MRI C++ documentation coding methods documentation method development MRtrix PCA diffusion

Neurodesk: build interactive examples to learn about neuroimaging analysis

This project aims to build, test, and maintain interactive neuroimaging analysis examples using Jupyter notebooks, GitHub Actions, …

 Project URL Git level: 0 none Git level: 1 commit push Hub melbourne aus fMRI MRI documentation Python shell scripting Unix command line data management documentation pipeline development visualisation AFNI ANTs BIDS Brainstorm Datalad FieldTrip fMRIPrep Freesurfer FSL Jupyter MNE MRtrix Nipype SPM connectome data visualisation MR methodologies physiology reproducible scientific methods statistical modelling systems neuroscience tutorial recording CPAC tractography

PsyR: An R package for better inference in multivariate statistical analysis

We consistently use massive data sets across neuroscience and psychology. The routine gathering of big data requires that we are …

 Project URL Git level: 1 commit push Git level: 2 branches PRs Hub melbourne aus behavioral eye tracking documentation R Skills: comfortable coding methods documentation pipeline development statistical modelling

TIYA: Tune Into Your heArt

The aim of our project is modulating heart rate interoception through music feedback to check if getting in tune with your heart …

 Project URL Git level: 0 none Hub melbourne aus behavioral ECG documentation html css Matlab Python R Skills: expert coding methods documentation method development pipeline development Jupyter physiology hypothesis testing

Why a centralised project submission?

As the Brainhack Global team, we aim to :

  • create a (de)centralized collaborative working platform,
  • facilitate & increase across-site collaborations and interactions,
  • give more visibility to the projects run under Brainhack Global,
  • encourage sharing ideas, experiences and knowledge across parties,
  • to remove barriers and allow contributions by researchers from all origins and disciplines.

Given that many events in this year Brainhack Global might be in part run virtually, a common platform for project submission and listing will allow you to submit your initial project call to gather interests from researchers from all Brainhack Global event locations.

Submitting a project

Please read our Guidelines for Leading and Attending to Brainhack Projects to get more ideas about:

  • how to design your project and what to expect from a Brainhack experience,
  • how to lead a project,
  • how to be an attendee of a project.

The ideal project should convey ideas with respect to the development of tools, methodologies, guidelines and begets to brainstorming new ideas that would facilitate the implementation of open science practices in neuroscience and create more opportunities for collaborative work and information exchange within the community.

How does it work?

In order to submit a project to the Brainhack Global 2024 Project Gallery, please follow these steps:

  1. Register with an event listed in the Brainhack Global 2024 Events .
  2. Create a GitHub account.
  3. Use our project submission form and fill in the necessary/required information as requested.

Project submission form

What happens next?

Once you have submitted your project, a reviewer will check the information in your issue. They may request some changes if deemed necessary.

Once the review completed the project will be marked as status:web_ready and will be listed on the Brainhack Global 2024 Projects page after a short delay. A subpage dedicated to your own project will be automatically created.

Matching projects with participants

The Brainhack Global team will try to match event attendees to projects across the globe based the expertise/skill sets that attendees want to acquire and those the projects are looking for. Once the attendee registrations are completed, our matching algorithm will be run based on the information provided by the attendees during registration. The attendees will then receive an email listing the best fitting projects for their expertise and interests.

Of course, the project attendees decide to join is ultimately their own. They could either go with the suggested options or they could choose among the other projects listed in the Brainhack Global 2024 Projects page.

Please be aware that, at the very early stage of the interactions, attendees might just want to contact you for more information to make sure that the project is a good fit to the aims they want to achieve from a Brainhack. Therefore, please make sure that you welcome all attentions and explain your project with care and guide them as necessary.