*** Upcoming CNSP Workshop in 2025 ***


Our team is currently working on bringing CNSP2025 to you. Please stay tuned for the schedule and registration information!

Previous CNSP Workshops


CNSP2023 took place online on the 18-19 September 2023.


Schedule:
The workshop schedule can be found here!


About:
Methodologies for neural signal processing in the case of natural scenes and sound perception.
  • Talks from experts in the field
  • One main tutorial on encoding and decoding models for neural signal analysis
  • Two tutorial sessions on specific study cases and/or methodologies
  • Q/A sessions and continuous support throughout the workshop
  • Where, when and how much?
    • Online! 18-19 September 2023
    • Podium presentations: Free for registered participants
    • Tutorial sessions: €20 registration fee

    Highlights
    • You can propose tutorials and talks for the workshop (official call here)
    • A session on best practices and challenges with data sharing and the CND data format
    • A mBrainTrain-sponsored student project (official call here)

    Participants?
    • Researchers interested in studying natural speech or music perception with EEG/MEG/ECoG, but have no experience with ecologically-valid experiments.
    • Researchers with experience in continuous sensory perception and tools such as the mTRF-Toolbox, who are interested in deepening their understanding and in expanding their set of tools.

    Prerequisites?
    • Some experience with neural signal processing (e.g., EEG, MEG, or ECoG).
    • Some programming experience (Matlab/Python) for the hands-on sessions.
    • A practical interest in applying these notions.

    What will you learn?
    • Theoretical insights into system identification and multivariate linear methods for neural signal analysis
    • Practical guidelines on how to prepare, process, and interpret your data
    • Practical knowledge of tools for neural signal analysis such as the mTRF-Toolbox

    BYOD! (Bring your own dataset)
    We will provide you with guidelines to prepare your own data for the practical sessions. We can then answer your specific question during the Q/A sessions.
    Datasets will be available, if you don't have your own.

    Sponsored by: