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MNE Code Sprint 2019

April 22nd - 26th, Paris

Learn more

Why a code sprint?

Alone you go fast and together we go far!

MNE is the most popular Python software for making sense of neural signals such as EEG or MEG. MNE is developped by a community of developers scattered around the world. The annual MNE code sprint is the moment for the MNE developers to exchange, share a vision and make fast progress.

The primary workhorse of this success has been free open source software (FOSS). With its strong emphasis on API design, the FOSS culture has made it less effortful to plan, develop in teams, re-use, distribute, teach, optimize & scale data analysis efforts. Coding sprints are a way to focus development efforts and share best practices that generalize across a range of application domains.

What?

The aim of the event is to gather established experts in the processing of neural time series data. Together, we will work on the software stack for all aspects of the processing chain: from pre-precossing to advanced machine learning use cases, including integration experiments using PyTorch.

Get Ready!

The detailed Pull Requests / Issues tackled during the sprint are described on the MNE github project page. During the sprint, we'll chat on gitter.

Who?

  • Alexandre Gramfort
    Senior research scientist at Inria, MNE-Python core developer, Scikit-Learn core developer and working on statistical machine learning and neuroscience data processing.
  • Britta Westner
    Postdoctoral researcher at Aarhus University, interested in visual processing, source reconstruction methods, and MEG decoding.
  • Christian Kiefer
    PhD Student at Forschungszentrum Jülich GmbH/ RWTH Aachen interested in MEG analysis and visual processing.
  • Dan McCloy
    Research scientist at University of Washington, working on EEG and pupillometry data processing.
  • Denis Engemann
    Research scientist at INRIA, core developer of MNE, specialized in large-scale analyses of electrophysiological data (EEG/MEG), statistical learning and biomarker development in clinical neuroscience.
  • Eric Larson
    Research scientist at University of Washington, SciPy maintainer, and working on M/EEG and pupillometry data processing.
  • Guillaume Favelier
    INRIA
  • Ivana Kojcic
    PhD student at INRIA Sophia Antipolis (Athena team) working on M/EEG source localization using structural connectivity priors.
  • Joan Massich
    Research engineer at CNRS, MNE-Python core-developer.
  • Jona Sassenhagen
    Postdoc at Uni. of Frankfurt and has specialized in continuous encoding models.
  • Jean-Rémi King
    Research scientist at CNRS, FAIR, MNE-Python core-developer and working on human intelligence, neuroimaging and machine learning.
  • Kostia Maksymenko
    INRIA Sophia Antipolis (Athena team). Specialized in M/EEG forward and inverse problems.
  • Mainak Jas
    Postdoc at A.A. Martinos Center of Biomedical Imaging, Harvard Medical School. Specializes in denoising and modeling of magneto-/electroencephalography signals.
  • Marijn van Vliet
    Aalto University
  • Nathalie Gayraud
    Independent computer science and engineering researcher, specializes in Signal Processing, Machine Learning and Transfer Learning applied to Human Computer Interactions.
  • Oleh Kozynets
    INRIA
  • Quentin Bertrand
    INRIA
  • Samuel Deslauriers-Gauthier
    INRIA Sophia Antipolis (Athena team)
  • Stefan Appelhoff
    PhD Fellow at the Max Planck Institute for Human Development in Berlin and maintainer of the Brain Imaging Data Structure
  • Stefan Repplinger
    Otto von Guericke University
  • Teon Brooks
    Mozilla Data Scientist, MNE-Python core developer, cognitive scientist interested in research methods, education, and learning.

Where?

Facebook, Paris

When?

The sprint will take place Monday April 22nd - Friday April 26th, 2019. The day-by-day schedule is TBD.

Contact

jeanremi.king [at] gmail.com

alexandre.gramfort [at] gmail.com