Donostia-San Sebastián, Spain

What is Brainhack Donostia?

A gender-balanced board of researchers from BCBL invites you to join a three-day in-person workshop focused on project development to foster new ideas, findings and future collaborations. In addition, we will host four international keynote speakers that will share their experience on state of the art methods, good practices in science and hot topics in research nowadays. By doing so, we will continue to grow our contributions towards sharing knowledge openly and transparently across disciplines and specialties, and to the development of open-source tools.
Accessibility to science is an important objective for BHD and we are determined in making this year's event more inclusive and open. Following last year's organization, a real-time transcription system will be provided during all talks and tutorials in order to ensure fluid and intelligible subtitles for deaf and hard of hearing participants. This system is also a valuable aid for all those participants who are not native speakers of English.

Open Science projects in Neurosciences

Brainhack Donostia is not an ordinary conference but an event focused on cooperation and collaboration in Neuroscience, as well as the promotion of Open Science. Our aim is to explore the multiple applications of neuroscience from a cross-disciplinary perspective. With this goal in mind, we bring together students, researchers, users, and non-academic industry professionals to learn about and develop collaborative projects. BHD is an opportunity to learn new skills and create long-lasting collaborations with interesting people from various backgrounds with a strong interest in Open Science.
These projects are proposed by the attendees for the attendees, and can be in any stage of development (i.e, it can be just an idea). Any attendee can propose any number of project, but can only lead one. The presenter of the project is responsible for making sure that anyone can contribute to the project, regardless of their level of expertise and background knowledge in programming. If possible, the project leaders should try to define some 'beginners' tasks'. We firmly believe that every single one of the attendees has something valuable to contribute to any project and we can't wait to see what it will be!

Brainhack Global

Brainhack Donostia is part of a larger initiative that holds simultaneous events all over the world with this same goal. A cornerstone of Brainhack is the promotion of responsible research and innovation in an inclusive, open, and transparent manner. Accordingly, knowledge sharing activities and the use of open-source resources are two of the basic tenets of Brainhack.
Through talks, hands-on tutorials, and the development of projects, attendees actively explore and learn how to manage data acquisition using different neuroimaging techniques such as Magnetic Resonance Imaging (MRI), Magneto-/Electroencephalography (M/EEG), or Near-Infrared Spectroscopy (NIRS).

BHD 2024 | Projects

Take a look at BHD2024's last edition projects!

ME-mppca: Building a tensor-based thermal denoising method
(@marco7877)

This project aims to build a tensor-based thermal denoising method with Marchenko-Pastur PCA. This denoising implementation will work with Single-Echo and Multi-Echo aquisition. In the later, it exploits the spatial redundancy between echoes

Goals

Implement modularized functions for singular value decomposition (SVD), and SVD denoising
Test algorithm with OpenNeuro dataset (dataset)
Write documentation

Bayes and Bach: An RNN-powered affair
(@qtabs)

In this project will train RNNs to perceive sequences of tones or chords from noisy versions of Bach's compositions and study whether the networks learn to predict the next tone.

Goals

Train RNNs to perceive sequences of tones or chords from noisy versions of Bach's compositions
Study whether the networks learn to predict the next tone
Learn how to curate and retrieve data Learn how to train state-of-the-art neural network models
Learn how to curate and retrieve data Learn how to train state-of-the-art neural network models

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

In this project we will learn how to use the Python toolbox ‘Eelbrain’, addressing all the necessary steps to compute mTRF (data organization, predictor setting, etc.) on a publicly available EEG dataset.

Goals

Understand how mTRF method works
Understand how Eeelbrain works
Writing and editing scripts to prepare the data and fit an mTRF